|
1
|
van der Aar JF, van Gilst MM, van den Ende DA, van Gorp H, Anderer P, Pijpers A, Fonseca P, Peri E, Overeem S. Hypnogram and Hypnodensity Analysis of REM Sleep Behaviour Disorder Using Both EEG and HRV-Based Sleep Staging Models. J Sleep Res 2025:e70046. [PMID: 40077890 DOI: 10.1111/jsr.70046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2024] [Revised: 02/10/2025] [Accepted: 03/06/2025] [Indexed: 03/14/2025]
Abstract
Rapid-eye-movement (REM) sleep behaviour disorder (RBD) is a primary sleep disorder strongly associated with Parkinson's disease. Assessing sleep structure in RBD is important for understanding the underlying pathophysiology and developing diagnostic methods. However, the performance of automated sleep stage classification (ASSC) models is considered suboptimal in RBD, for both models utilising neurological signals ("ExG": EEG, EOG, and chin EMG) and heart rate variability combined with body movements (HRVm). Here, we explore this underperformance through the categorical representation of sleep macrostructure (i.e., hypnogram) and a representation that leverages the underlying probability distribution of ASSCs (i.e., hypnodensity). By comparing the RBD population (n = 36) to a sex- and age-matched group of OSA patients chosen for their anticipated similarly decreased sleep stability, we confirm lower 4-stage classification performance in both ExG-based ASSC (RBD: κ = 0.74, OSA: κ = 0.80) and HRVm-based ASSC (RBD: κ = 0.50, OSA: κ = 0.63). Stages showing lower agreement in RBD, namely, N1 + N2 and REM sleep, exhibited elevated ambiguity in the hypnodensity, indicating more ambiguous classification distributions. Limited differences in bout durations between RBD and OSA suggested sleep instability is not necessarily driving lower agreement in RBD. However, stage transitions in OSA showed more abrupt changes in the underlying probability distribution, while RBD transitions had a more continuous profile, possibly complicating classification. Although both ExG-based and HRVm-based automated sleep staging in RBD remain challenging, hypnodensity analysis is informative for the characterisation of (RBD) sleep and can capture potential drivers of classification disagreement.
Collapse
Affiliation(s)
- Jaap F van der Aar
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
- Philips Sleep and Respiratory Care, Eindhoven, the Netherlands
| | - Merel M van Gilst
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
- Center for Sleep Medicine Kempenhaeghe, Heeze, the Netherlands
| | - Daan A van den Ende
- Philips Innovation & Strategy, Department of Innovation Engineering, Eindhoven, the Netherlands
| | - Hans van Gorp
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
- Philips Sleep and Respiratory Care, Eindhoven, the Netherlands
| | - Peter Anderer
- The Siesta Group Schlafanalyse Gmbh, Vienna, Austria
| | | | - Pedro Fonseca
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
- Philips Sleep and Respiratory Care, Eindhoven, the Netherlands
| | - Elisabetta Peri
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Sebastiaan Overeem
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
- Center for Sleep Medicine Kempenhaeghe, Heeze, the Netherlands
| |
Collapse
|
|
2
|
Ahmad Hatib NA, Lee JH, Chong SL, Sng QW, Tan VSR, Ong GYK, Lim AM, Quek BH, How MS, Chan JMF, Saffari SE, Ng KC. A two-phased study on the use of remote photoplethysmography (rPPG) in paediatric care. ANNALS OF TRANSLATIONAL MEDICINE 2024; 12:46. [PMID: 38911566 PMCID: PMC11193567 DOI: 10.21037/atm-23-1896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 03/10/2024] [Indexed: 06/25/2024]
Abstract
Background Advancements in medical technologies have led to the development of contact-free methods of haemodynamic monitoring such as remote photoplethysmography (rPPG). rPPG uses video cameras to interpret variations in skin colour related to blood flow, which are analysed to generate vital signs readings. rPPG potentially ameliorates problems like fretfulness and fragile skin contact associated with conventional probes in children. While rPPG has been validated in adults, no prior validation has been performed in children. Methods A two-phased prospective cross-sectional single-centre study was conducted from January to April 2023 to evaluate the feasibility, acceptability, and accuracy of obtaining heart rate (HR), respiratory rate (RR) and oxygen saturation (SpO2) using rPPG in children, compared to the current standard of care. In Phase 1, we recruited patients ≤16 years from the neonatal and paediatric wards. We excluded preterm neonates with gestational age <35 weeks and newborns <24 hours old. The rPPG webcam was positioned 30 cm from the face. After 1 minute of facial scanning, readings generated were compared with pulse oximetry for HR and SpO2, and manual counting for RR. Correlation and Bland-Altman analyses were performed. In Phase 2, we focused on the population in whom there was potential correlation between rPPG and the actual vital signs. Results Ten neonates and 28 children aged 5 to 16 years were recruited for Phase 1 (765 datapoints). All patients were haemodynamically stable and normothermic. Patients and caregivers showed high acceptability to rPPG. rPPG values were clinically discrepant for children <10 years. For those ≥10 years, moderate correlation was observed for HR, with Spearman's correlation coefficient (Rs) of 0.50 [95% confidence intervals (CI): 0.42, 0.57]. We performed Phase 2 on 23 patients aged 12 to 16 years (559 datapoints). Strong correlation was observed for HR with Rs=0.82 (95% CI: 0.78, 0.85). There was weak correlation for SpO2 and RR (Rs=-0.25 and -0.02, respectively). Conclusions Our study showed that rPPG is acceptable and feasible for neonates and children aged 5 to 16 years, and HR values in older children aged 12 to 16 years correlated well with the current standard. The rPPG algorithms need to be further refined for younger children, and for obtaining RR and SpO2 in all children. If successful, rPPG will provide a viable contact-free alternative for assessing paediatric vital signs, with potential use in remote monitoring and telemedicine.
Collapse
Affiliation(s)
- Nur Adila Ahmad Hatib
- General Paediatrics Service, KK Women’s and Children’s Hospital, Singapore, Singapore
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
| | - Jan Hau Lee
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Children’s Intensive Care Unit, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Shu-Ling Chong
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Department of Emergency Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Qian Wen Sng
- Department of Advancing Nursing and Education, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Victoria Shi Rui Tan
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Department of Emergency Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Gene Yong-Kwang Ong
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Department of Emergency Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Alicia May Lim
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Department of Neonatology, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Bin Huey Quek
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Department of Neonatology, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Mee See How
- Special Care Nursery, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Joel Meng Fai Chan
- General Paediatrics Service, KK Women’s and Children’s Hospital, Singapore, Singapore
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
| | - Seyed Ehsan Saffari
- Centre for Quantitative Medicine, Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Kee Chong Ng
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Chief Executive Officer, Changi General Hospital, Singapore, Singapore
| |
Collapse
|
|
3
|
Wulterkens BM, Den Teuling NGP, Hermans LWA, Asin J, Duis N, Overeem S, Fonseca P, van Gilst MM. Multi-night home assessment of sleep structure in OSA with and without insomnia. Sleep Med 2024; 117:152-161. [PMID: 38547592 DOI: 10.1016/j.sleep.2024.03.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 03/07/2024] [Accepted: 03/17/2024] [Indexed: 04/16/2024]
Abstract
OBJECTIVE To explore sleep structure in participants with obstructive sleep apnea (OSA) and comorbid insomnia (COMISA) and participants with OSA without insomnia (OSA-only) using both single-night polysomnography and multi-night wrist-worn photoplethysmography/accelerometry. METHODS Multi-night 4-class sleep-staging was performed with a validated algorithm based on actigraphy and heart rate variability, in 67 COMISA (23 women, median age: 51 years) and 50 OSA-only (15 women, median age: 51) participants. Sleep statistics were compared using linear regression models and mixed-effects models. Multi-night variability was explored using a clustering approach and between- and within-participant analysis. RESULTS Polysomnographic parameters showed no significant group differences. Multi-night measurements, during 13.4 ± 5.2 nights per subject, demonstrated a longer sleep onset latency and lower sleep efficiency for the COMISA group. Detailed analysis of wake parameters revealed longer mean durations of awakenings in COMISA, as well as higher numbers of awakenings lasting 5 min and longer (WKN≥5min) and longer wake after sleep onset containing only awakenings of 5 min or longer. Within-participant variance was significantly larger in COMISA for sleep onset latency, sleep efficiency, mean duration of awakenings and WKN≥5min. Unsupervised clustering uncovered three clusters; participants with consistently high values for at least one of the wake parameters, participants with consistently low values, and participants displaying higher variability. CONCLUSION Patients with COMISA more often showed extended, and more variable periods of wakefulness. These observations were not discernible using single night polysomnography, highlighting the relevance of multi-night measurements to assess characteristics indicative for insomnia.
Collapse
Affiliation(s)
- Bernice M Wulterkens
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Philips Sleep and Respiratory Care, Eindhoven, the Netherlands.
| | | | - Lieke W A Hermans
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Jerryll Asin
- Center for Sleep Medicine, Amphia Hospital, Breda, the Netherlands
| | - Nanny Duis
- Center for Sleep Medicine, Amphia Hospital, Breda, the Netherlands
| | - Sebastiaan Overeem
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Sleep Medicine Center Kempenhaeghe, Heeze, the Netherlands
| | - Pedro Fonseca
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Philips Sleep and Respiratory Care, Eindhoven, the Netherlands
| | - Merel M van Gilst
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Sleep Medicine Center Kempenhaeghe, Heeze, the Netherlands
| |
Collapse
|
|
4
|
Ibrahim NS, Rampal S, Lee WL, Pek EW, Suhaimi A. Evaluation of Wrist-Worn Photoplethysmography Trackers with an Electrocardiogram in Patients with Ischemic Heart Disease: A Validation Study. Cardiovasc Eng Technol 2024; 15:12-21. [PMID: 37973701 DOI: 10.1007/s13239-023-00693-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 10/18/2023] [Indexed: 11/19/2023]
Abstract
PURPOSE Photoplethysmography measurement of heart rate with wrist-worn trackers has been introduced in healthy individuals. However, additional consideration is necessary for patients with ischemic heart disease, and the available evidence is limited. The study aims to evaluate the validity and reliability of heart rate measures by a wrist-worn photoplethysmography (PPG) tracker compared to an electrocardiogram (ECG) during incremental treadmill exercise among patients with ischemic heart disease. METHODS Fifty-one participants performed the standard incremental treadmill exercise in a controlled laboratory setting with 12-lead ECG attached to the patient's body and wearing wrist-worn PPG trackers. RESULTS At each stage, the absolute percentage error of the PPG was within 10% of the standard acceptable range. Further analysis using a linear mixed model, which accounts for individual variations, revealed that PPG yielded the best performance at the baseline low-intensity exercise. As the stages progressed, heart rate validity decreased but was regained during recovery. The reliability was moderate to excellent. CONCLUSIONS Low-cost trackers AMAZFIT Cor and Bip validity and reliability were within acceptable ranges, especially during low-intensity exercise among patients with ischemic heart disease recovering from cardiac procedures. Though using the tracker as part of the diagnosis tool still requires more supporting studies, it can potentially be used as a self-monitoring tool with precautions.
Collapse
Affiliation(s)
- Nur Syazwani Ibrahim
- Department of Rehabilitation Medicine, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Sanjay Rampal
- Centre for Epidemiology and Evidence-based Practice, Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
| | - Wan Ling Lee
- Department of Nursing Science, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Eu Way Pek
- Department of Rehabilitation Medicine, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Anwar Suhaimi
- Department of Rehabilitation Medicine, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
| |
Collapse
|
|
5
|
Fonseca P, Ross M, Cerny A, Anderer P, van Meulen F, Janssen H, Pijpers A, Dujardin S, van Hirtum P, van Gilst M, Overeem S. A computationally efficient algorithm for wearable sleep staging in clinical populations. Sci Rep 2023; 13:9182. [PMID: 37280297 PMCID: PMC10244431 DOI: 10.1038/s41598-023-36444-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 06/03/2023] [Indexed: 06/08/2023] Open
Abstract
This study describes a computationally efficient algorithm for 4-class sleep staging based on cardiac activity and body movements. Using an accelerometer to calculate gross body movements and a reflective photoplethysmographic (PPG) sensor to determine interbeat intervals and a corresponding instantaneous heart rate signal, a neural network was trained to classify between wake, combined N1 and N2, N3 and REM sleep in epochs of 30 s. The classifier was validated on a hold-out set by comparing the output against manually scored sleep stages based on polysomnography (PSG). In addition, the execution time was compared with that of a previously developed heart rate variability (HRV) feature-based sleep staging algorithm. With a median epoch-per-epoch κ of 0.638 and accuracy of 77.8% the algorithm achieved an equivalent performance when compared to the previously developed HRV-based approach, but with a 50-times faster execution time. This shows how a neural network, without leveraging any a priori knowledge of the domain, can automatically "discover" a suitable mapping between cardiac activity and body movements, and sleep stages, even in patients with different sleep pathologies. In addition to the high performance, the reduced complexity of the algorithm makes practical implementation feasible, opening up new avenues in sleep diagnostics.
Collapse
Affiliation(s)
- Pedro Fonseca
- Philips Research Eindhoven, High Tech Campus 34, 5656AE, Eindhoven, The Netherlands.
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
| | - Marco Ross
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Sleep and Respiratory Care, Philips Austria GmbH, Vienna, Austria
| | - Andreas Cerny
- Sleep and Respiratory Care, Philips Austria GmbH, Vienna, Austria
| | - Peter Anderer
- Sleep and Respiratory Care, Philips Austria GmbH, Vienna, Austria
| | - Fokke van Meulen
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Sleep Medicine Center Kempenhaeghe, Heeze, The Netherlands
| | - Hennie Janssen
- Sleep Medicine Center Kempenhaeghe, Heeze, The Netherlands
| | | | | | | | - Merel van Gilst
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Sleep Medicine Center Kempenhaeghe, Heeze, The Netherlands
| | - Sebastiaan Overeem
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Sleep Medicine Center Kempenhaeghe, Heeze, The Netherlands
| |
Collapse
|
|
6
|
Cheong SHR, Ng YJX, Lau Y, Lau ST. Wearable technology for early detection of COVID-19: A systematic scoping review. Prev Med 2022; 162:107170. [PMID: 35878707 PMCID: PMC9304072 DOI: 10.1016/j.ypmed.2022.107170] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 06/29/2022] [Accepted: 07/17/2022] [Indexed: 11/23/2022]
Abstract
Wearable technology is an emerging method for the early detection of coronavirus disease 2019 (COVID-19) infection. This scoping review explored the types, mechanisms, and accuracy of wearable technology for the early detection of COVID-19. This review was conducted according to the five-step framework of Arksey and O'Malley. Studies published between December 31, 2019 and December 15, 2021 were obtained from 10 electronic databases, namely, PubMed, Embase, Cochrane, CINAHL, PsycINFO, ProQuest, Scopus, Web of Science, IEEE Xplore, and Taylor & Francis Online. Grey literature, reference lists, and key journals were also searched. All types of articles describing wearable technology for the detection of COVID-19 infection were included. Two reviewers independently screened the articles against the eligibility criteria and extracted the data using a data charting form. A total of 40 articles were included in this review. There are 22 different types of wearable technology used to detect COVID-19 infections early in the existing literature and are categorized as smartwatches or fitness trackers (67%), medical devices (27%), or others (6%). Based on deviations in physiological characteristics, anomaly detection models that can detect COVID-19 infection early were built using artificial intelligence or statistical analysis techniques. Reported area-under-the-curve values ranged from 75% to 94.4%, and sensitivity and specificity values ranged from 36.5% to 100% and 73% to 95.3%, respectively. Further research is necessary to validate the effectiveness and clinical dependability of wearable technology before healthcare policymakers can mandate its use for remote surveillance.
Collapse
Affiliation(s)
- Shing Hui Reina Cheong
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Yu Jie Xavia Ng
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Ying Lau
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Siew Tiang Lau
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| |
Collapse
|
|
7
|
Wallace T, Morris JT, Glickstein R, Anderson RK, Gore RK. Implementation of a Mobile Technology-Supported Diaphragmatic Breathing Intervention in Military mTBI With PTSD. J Head Trauma Rehabil 2022; 37:152-161. [PMID: 35703895 PMCID: PMC9204778 DOI: 10.1097/htr.0000000000000774] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Diaphragmatic breathing is an evidence-based intervention for managing stress and anxiety; however, some military veterans with mild traumatic brain injury (mTBI) and posttraumatic stress disorder (PTSD) report challenges to learning and practicing the technique. BreatheWell Wear assists performance of breathing exercises through reminders, biofeedback, and visual, tactile, and auditory guidance. OBJECTIVE To evaluate feasibility of implementing BreatheWell Wear, a mobile smartwatch application with companion smartphone app, as an intervention for stress management in military veterans with mTBI and PTSD. METHODS Thirty veterans with chronic symptoms of mTBI and PTSD recruited from an interdisciplinary, intensive outpatient program participated in this pilot pragmatic clinical trial. Participants were randomly assigned to the experimental (BreatheWell Wear and conventional care) and control (conventional care) groups for 4 weeks. Conventional care included instruction on relaxation breathing and participation in behavioral health therapy. Effects on goal attainment, treatment adherence, diaphragmatic breathing technique knowledge, and stress were measured through surveys and diaries. Changes in symptoms, mood, and well-being were measured pre/postintervention via the Posttraumatic Checklist for DSM-5, Beck Anxiety Inventory, Beck Depression Inventory, and Flourishing Scale. RESULTS Person-centered goal attainment (t = 4.009, P < .001), treatment adherence (t = 2.742, P = .001), diaphragmatic breathing technique knowledge (t = 1.637, P < .001), and reported ease of remembering to practice (t = -3.075, P = .005) were significantly greater in the experimental group. As expected, measures of PTSD, anxiety, depression, and psychological well-being showed clinically meaningful change in both groups, and both groups demonstrated reduced stress following diaphragmatic breathing. CONCLUSION These preliminary findings indicate that BreatheWell Wear may be a clinically feasible tool for supporting diaphragmatic breathing as an intervention in veterans with mTBI and PTSD, and a future effectiveness trial is warranted.
Collapse
Affiliation(s)
- Tracey Wallace
- SHARE Military Initiative (Ms Wallace, Mr Glickstein, and Dr Gore), Crawford Research Institute (Ms Wallace and Drs Morris and Anderson), Shepherd Center, Atlanta, Georgia; and Department of Sociology, Georgia State University, Atlanta, Georgia (Dr Anderson)
| | | | | | | | | |
Collapse
|
|
8
|
Effects of Interactive Music Tempo with Heart Rate Feedback on Physio-Psychological Responses of Basketball Players. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19084810. [PMID: 35457676 PMCID: PMC9032355 DOI: 10.3390/ijerph19084810] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/08/2022] [Accepted: 04/14/2022] [Indexed: 11/16/2022]
Abstract
This paper introduces an interactive music tempo control with closed-loop heart rate feedback to yield a sportsperson with better physio-psychological states. A total of 23 participants (13 men, 10 women; 16−32 years, mean = 20.04 years) who are professionals or school team members further guide a sportsperson to amend their physical tempo to harmonize their psychological and physical states. The self-tuning mechanism between the surroundings and the human can be amplified using interactive music tempo control. The experiments showed that listening to interactive music had a significant effect on the heart rate and rating of perceived exertion (RPE) of the basketball player compared to those listening to asynchronous music or no music during exercise (p < 0.01). Synchronized interactive music allows athletes to increase their heart rate and decrease RPE during exercise and does not require a multitude of preplanned playlists. All self-selected songs can be converted into sports-oriented music using algorithms. The algorithms of synchronous and asynchronous modes in this study can be adjusted and applied to other sports fields or recovery after exercise. In the future, other musical parameters should be adjusted in real-time based on physiological signals, such as tonality, beats, chords, and orchestration.
Collapse
|
|
9
|
SensorHub: Multimodal Sensing in Real-Life Enables Home-Based Studies. SENSORS 2022; 22:s22010408. [PMID: 35009950 PMCID: PMC8749618 DOI: 10.3390/s22010408] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 12/19/2021] [Accepted: 12/22/2021] [Indexed: 01/27/2023]
Abstract
Observational studies are an important tool for determining whether the findings from controlled experiments can be transferred into scenarios that are closer to subjects’ real-life circumstances. A rigorous approach to observational studies involves collecting data from different sensors to comprehensively capture the situation of the subject. However, this leads to technical difficulties especially if the sensors are from different manufacturers, as multiple data collection tools have to run simultaneously. We present SensorHub, a system that can collect data from various wearable devices from different manufacturers, such as inertial measurement units, portable electrocardiographs, portable electroencephalographs, portable photoplethysmographs, and sensors for electrodermal activity. Additionally, our tool offers the possibility to include ecological momentary assessments (EMAs) in studies. Hence, SensorHub enables multimodal sensor data collection under real-world conditions and allows direct user feedback to be collected through questionnaires, enabling studies at home. In a first study with 11 participants, we successfully used SensorHub to record multiple signals with different devices and collected additional information with the help of EMAs. In addition, we evaluated SensorHub’s technical capabilities in several trials with up to 21 participants recording simultaneously using multiple sensors with sampling frequencies as high as 1000 Hz. We could show that although there is a theoretical limitation to the transmissible data rate, in practice this limitation is not an issue and data loss is rare. We conclude that with modern communication protocols and with the increasingly powerful smartphones and wearables, a system like our SensorHub establishes an interoperability framework to adequately combine consumer-grade sensing hardware which enables observational studies in real life.
Collapse
|
|
10
|
Wan EY, Ghanbari H, Akoum N, Itzhak Attia Z, Asirvatham SJ, Chung EH, Dagher L, Al-Khatib SM, Stuart Mendenhall G, McManus DD, Pathak RK, Passman RS, Peters NS, Schwartzman DS, Svennberg E, Tarakji KG, Turakhia MP, Trela A, Yarmohammadi H, Marrouche NF. HRS White Paper on Clinical Utilization of Digital Health Technology. CARDIOVASCULAR DIGITAL HEALTH JOURNAL 2021; 2:196-211. [PMID: 35265910 PMCID: PMC8890053 DOI: 10.1016/j.cvdhj.2021.07.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
This collaborative statement from the Digital Health Committee of the Heart Rhythm Society provides everyday clinical scenarios in which wearables may be utilized by patients for cardiovascular health and arrhythmia management. We describe herein the spectrum of wearables that are commercially available for patients, and their benefits, shortcomings and areas for technological improvement. Although wearables for rhythm diagnosis and management have not been examined in large randomized clinical trials, undoubtedly the usage of wearables has quickly escalated in clinical practice. This document is the first of a planned series in which we will update information on wearables as they are revised and released to consumers.
Collapse
Affiliation(s)
- Elaine Y. Wan
- Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, New York-Presbyterian/Columbia University Irving Medical Center, New York, NY, USA
| | | | | | | | | | | | - Lilas Dagher
- Tulane Research Innovation for Arrhythmia Discoveries (TRIAD), Heart and Vascular Institute, Tulane University School of Medicine, New Orleans, LA, USA
| | | | | | | | - Rajeev K. Pathak
- Cardiac Electrophysiology Unit, Department of Cardiology, Canberra Hospital and Health Services, Australian National University, Canberra, Australia
| | - Rod S. Passman
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | | | - Emma Svennberg
- Karolinska Institutet, Department of Medicine Huddinge, Karolinska University Hospital, Stockholm, Sweden
| | - Khaldoun G. Tarakji
- Department of Cardiovascular Medicine, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Mintu P. Turakhia
- Department of Medicine, Stanford University, Stanford, California; Veterans Affairs Palo Alto Health Care System, Palo Alto, California, and Center for Digital Health, Stanford, CA, USA
| | - Anthony Trela
- Lucile Packard Children’s Hospital, Pediatric Cardiology, Palo Alto, CA, USA
| | - Hirad Yarmohammadi
- Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, New York-Presbyterian/Columbia University Irving Medical Center, New York, NY, USA
| | - Nassir F. Marrouche
- Tulane Research Innovation for Arrhythmia Discoveries (TRIAD), Heart and Vascular Institute, Tulane University School of Medicine, New Orleans, LA, USA
| |
Collapse
|
|
11
|
Abstract
Flexible bioelectronics have promising applications in electronic skin, wearable devices, biomedical electronics, etc. Hydrogels have unique advantages for bioelectronics due to their tissue-like mechanical properties and excellent biocompatibility. Particularly, conductive and tissue adhesive hydrogels can self-adhere to bio-tissues and have great potential in implantable wearable bioelectronics. This review focuses on the recent progress in tissue adhesive hydrogel bioelectronics, including the mechanism and preparation of tissue adhesive hydrogels, the fabrication strategies of conductive hydrogels, and tissue adhesive hydrogel bioelectronics and applications. Some perspectives on tissue adhesive hydrogel bioelectronics are provided at the end of the review.
Collapse
Affiliation(s)
- Shengnan Li
- Key Laboratory of Polymeric Composite and Functional Materials of Ministry of Education, Guangdong Functional Biomaterials Engineering Technology Research Center, Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, School of Materials Science and Engineering, Sun Yat-sen University, 135 Xingang Road West, Guangzhou 510275, China.
| | - Yang Cong
- College of Materials Science and Chemical Engineering, Ningbo University of Technology, Ningbo 315201, China
| | - Jun Fu
- Key Laboratory of Polymeric Composite and Functional Materials of Ministry of Education, Guangdong Functional Biomaterials Engineering Technology Research Center, Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, School of Materials Science and Engineering, Sun Yat-sen University, 135 Xingang Road West, Guangzhou 510275, China.
| |
Collapse
|
|
12
|
Hermand E, Coll C, Richalet JP, Lhuissier FJ. Accuracy and Reliability of Pulse O2 Saturation Measured by a Wrist-worn Oximeter. Int J Sports Med 2021; 42:1268-1273. [PMID: 34000752 DOI: 10.1055/a-1337-2790] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
This study aims to evaluate the accuracy of the Garmin Forerunner 245 heart rate (HR) and pulse O2 saturation (SpO2) sensors compared with electrocardiogram and medical oximeter, from sea level to high altitude. Ten healthy subjects underwent five tests in normoxia and hypoxia (simulated altitudes from 3000 to 5500 m), consisting in a 5-min rest phase, followed by 5-min of mild exercise. Absolute error (±10 bpm for HR and ±3% for SpO2, around criterion) and intraclass correlations (ICC) were calculated. Error rates for HR remained under 10%, except at 3000 m, and ICCs evidenced a good reliability between Garmin and criterion. Overall SpO2 was higher than criterion (P<0.001) with a >50% error rate (>80% above 4800 m), and a poor reliability with criterion. The Garmin device displayed acceptable HR data at rest and exercise for all altitudes, but failed to provide trustworthy SpO2 values, especially at high altitude, where a pronounced arterial O2 desaturation could lead to acute mountain sickness in hypoxia-sensitive subjects, and its life-threatening complications; moreover, readings of overestimated SpO2 values might induce trekkers into further hazardous behavior by pursuing an ascent while being already at risk. Therefore, its use to assess SpO2 should be proscribed in altitude for acclimatization evaluation.
Collapse
Affiliation(s)
- Eric Hermand
- Univ. Littoral Côte d'Opale, Univ. Artois, Univ. Lille, CHU LIlle, ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, F-59140 Dunkerque, France.,UMR INSERM U1272 'Hypoxie & Poumon', Université Sorbonne Paris Nord, Bobigny, France
| | - Clemence Coll
- Hôpital Jean Verdier, Médecine de L'Exercice et du Sport, AP-HP, Bondy, France
| | - Jean-Paul Richalet
- UMR INSERM U1272 'Hypoxie & Poumon', Université Sorbonne Paris Nord, Bobigny, France
| | - Francois J Lhuissier
- UMR INSERM U1272 'Hypoxie & Poumon', Université Sorbonne Paris Nord, Bobigny, France.,Hôpital Jean Verdier, Médecine de L'Exercice et du Sport, AP-HP, Bondy, France
| |
Collapse
|
|
13
|
Jensen MT, Treskes RW, Caiani EG, Casado-Arroyo R, Cowie MR, Dilaveris P, Duncker D, Di Rienzo M, Frederix I, De Groot N, Kolh PH, Kemps H, Mamas M, McGreavy P, Neubeck L, Parati G, Platonov PG, Schmidt-Trucksäss A, Schuuring MJ, Simova I, Svennberg E, Verstrael A, Lumens J. ESC working group on e-cardiology position paper: use of commercially available wearable technology for heart rate and activity tracking in primary and secondary cardiovascular prevention-in collaboration with the European Heart Rhythm Association, European Association of Preventive Cardiology, Association of Cardiovascular Nursing and Allied Professionals, Patient Forum, and the Digital Health Committee. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2021; 2:49-59. [PMID: 36711174 PMCID: PMC9753086 DOI: 10.1093/ehjdh/ztab011] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 01/11/2021] [Accepted: 02/04/2021] [Indexed: 02/01/2023]
Abstract
Commercially available health technologies such as smartphones and smartwatches, activity trackers and eHealth applications, commonly referred to as wearables, are increasingly available and used both in the leisure and healthcare sector for pulse and fitness/activity tracking. The aim of the Position Paper is to identify specific barriers and knowledge gaps for the use of wearables, in particular for heart rate (HR) and activity tracking, in clinical cardiovascular healthcare to support their implementation into clinical care. The widespread use of HR and fitness tracking technologies provides unparalleled opportunities for capturing physiological information from large populations in the community, which has previously only been available in patient populations in the setting of healthcare provision. The availability of low-cost and high-volume physiological data from the community also provides unique challenges. While the number of patients meeting healthcare providers with data from wearables is rapidly growing, there are at present no clinical guidelines on how and when to use data from wearables in primary and secondary prevention. Technical aspects of HR tracking especially during activity need to be further validated. How to analyse, translate, and interpret large datasets of information into clinically applicable recommendations needs further consideration. While the current users of wearable technologies tend to be young, healthy and in the higher sociodemographic strata, wearables could potentially have a greater utility in the elderly and higher-risk population. Wearables may also provide a benefit through increased health awareness, democratization of health data and patient engagement. Use of continuous monitoring may provide opportunities for detection of risk factors and disease development earlier in the causal pathway, which may provide novel applications in both prevention and clinical research. However, wearables may also have potential adverse consequences due to unintended modification of behaviour, uncertain use and interpretation of large physiological data, a possible increase in social inequality due to differential access and technological literacy, challenges with regulatory bodies and privacy issues. In the present position paper, current applications as well as specific barriers and gaps in knowledge are identified and discussed in order to support the implementation of wearable technologies from gadget-ology into clinical cardiology.
Collapse
Affiliation(s)
- Magnus T Jensen
- Department of Cardiology, Copenhagen University Hospital Amager & Hvidovre, Kettegaard Alle 30, 2650 Hvidovre, Denmark
| | - Roderick W Treskes
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Enrico G Caiani
- Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, Via Ponzio 34/5, 20133 Milan, Italy
- National Council of Research, Institute of Electronics, Information and Telecomunication Engineering, Milan, Italy
| | - Ruben Casado-Arroyo
- Department of Cardiology, Erasme Hospital, Université Libre de Bruxelles, Route de Lennik 808, 1070 Brussels, Belgium
| | - Martin R Cowie
- Department of Cardiology, Royal Bromptom Hospital, Sydney St, Chelsea, London SW3 6NP, UK
| | - Polychronis Dilaveris
- Department of Cardiology, Hippokration Hospital, 114 Vas. Sofias avenue, 11527, Athens, Greece
| | - David Duncker
- Department of Cardiology and Angiology, Hannover Heart Rhythm Center, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany
| | - Marco Di Rienzo
- Department of Biomedical Technology, IRCCS Fondazione Don Carlo Gnocchi, 20121 Milano, Italy
| | - Ines Frederix
- Department of Cardiology, Jessa Hospital, Salvatorstraat 20, 3500 Hasselt, Belgium
- Department of Cardiology, Antwerp University Hospital, Drie Eikenstraat 655, 2650 Edegm, Belgium
- Faculty of Medicine & Life Sciences, Hasselt University, Martelarenlaan 42, 3500 Hasselt, Belgium
- Faculty of Medicine & Health Sciences, Antwerp University, Campus Drie Eiken, Building S, Universiteitsplein 1, 2610 WILRIJK, Antwerp, Belgium
| | - Natasja De Groot
- Department of Cardiology, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Philippe H Kolh
- Department of Cardiovascular Surgery, University Hospital Liege, Quai Paul van Hoegaerden 2, 4000 Liege, Belgium
| | - Hareld Kemps
- Department of Cardiology, Maxima Medical Centre, Dominee Theodor Fliednerstraat 1, 5631 BM Eindhoven, The Netherlands
- Department of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
| | - Mamas Mamas
- Academic Department of Cardiology, Royal Stoke Hospital, University Hospital North Midlands, Newcastle Rd, Stoke-on-Trent ST4 6QG, UK
| | - Paul McGreavy
- ESC Patient’s Platform, European Society of Cardiology, Sophia Antipolis Cedex, France
| | - Lis Neubeck
- School of Health and Social Care, Edinburgh Napier University, 9 Sighthill Ct, Edinburgh EH11 4BN, UK
| | - Gianfranco Parati
- Department of Medicine and Surgery, University of Milano-Bicocca & Istituto Auxologico Italiano, IRCCS, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy
- Department of Cardiovascular, Neural and Metabolic Sciences, San Luca Hospital, Piazzale Brescia 20, Milano, Italy
| | - Pyotr G Platonov
- Department of Cardiology, Clinical Sciences, Lund University Hosptial, EA-blocket, 221 85 Lund, Sweden
| | - Arno Schmidt-Trucksäss
- Department of Sport, Exercise and Health, University of Basel, Birsstrasse 320 B, 4052 Basel, Switzerland
| | - Mark J Schuuring
- Department of Cardiology, Amsterdam University Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
| | - Iana Simova
- Cardiology Clinic, Heart and Brain—University Hospital, One, G. M. Dimitrov Blvd. Sofia 1172, Pleven, Bulgaria
| | - Emma Svennberg
- Department of Cardiology, Karolinska University Hospital, Anna Steckséns gata 41, 171 64 Solna, Stockholm, Sweden
- Department of Clinical Sciences Danderyd University Hospital, 171 77 Stockholm, Sweden
| | - Axel Verstrael
- ESC Patient’s Platform, European Society of Cardiology, Sophia Antipolis Cedex, France
| | - Joost Lumens
- CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Duboisdomein 30, 6229 GT Maastricht, the Netherlands
| |
Collapse
|
|
14
|
DiPasquale J, Trammell M, Clark K, Fowler H, Callender L, Bennett M, Swank C. Intensity of usual care physical therapy during inpatient rehabilitation for people with neurologic diagnoses. PM R 2021; 14:46-57. [PMID: 33599119 DOI: 10.1002/pmrj.12577] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 02/02/2021] [Accepted: 02/09/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND Early, intense rehabilitation is essential to promote recovery after stroke, spinal cord injury (SCI), and traumatic brain injury (TBI). However, intensity of usual care rehabilitation interventions during inpatient rehabilitation are poorly characterized. OBJECTIVE To describe the intensity of usual care rehabilitation interventions completed during the subacute phase of recovery from neurologic injury. DESIGN Observational. SETTING Inpatient rehabilitation facility. INTERVENTIONS Twenty-two usual care physical therapy interventions were grouped into six categories: gait (four activities), functional (two), strengthening (four), aerobic (six), balance (four), and wheelchair (two). PATIENTS Patients admitted to inpatient rehabilitation with a primary diagnosis of stroke, SCI or TBI within 6 months of injury. MAIN OUTCOME MEASURE(S) Cardiovascular intensity (physiological and perceived) was recorded during rehabilitation activity sessions. Physiological intensity was assessed by heart rate reserve (HRR) via a Polar A370 Fitness Watch and characterized as very light (<30%), light (30-39%), moderate (40-59%), vigorous (60-89%), and near maximal (≥90%). Perceived intensity was assessed using the Rating of Perceived Exertion scale. RESULTS Patients (stroke n = 16 [number of activity sessions = 388/average session duration = 15.1 min]; SCI n = 15 [299/27.3 min]; TBI n = 15 [340/13.4 min]) participated. For patients with stroke, moderate-to-vigorous HRR was attained between 42% (aerobic exercise) to 55% (wheelchair propulsion) of activity sessions. For patients with SCI, moderate-to-vigorous HRR was attained between 29% (strength training) to 46% (gait training) of activity sessions. For patients with TBI, moderate-to-vigorous HRR was attained between 29% (balance activities) to 47% (gait training) of activity sessions. Associations between HRR and rate of perceived exertion were very weak across stroke (r = 0.12), SCI (r = 0.18), and TBI (r = 0.27). CONCLUSIONS Patients with stroke, SCI, and TBI undergoing inpatient rehabilitation achieve moderate-to-vigorous intensity during some usual care activities such as gait training. Patient perception of intensity was dissimilar to physiological response.
Collapse
Affiliation(s)
- Jake DiPasquale
- Baylor Scott and White Institute for Rehabilitation, Dallas, Texas, USA
| | - Molly Trammell
- Baylor Scott and White Institute for Rehabilitation, Dallas, Texas, USA
| | - Kelly Clark
- Baylor Scott and White Institute for Rehabilitation, Dallas, Texas, USA
| | - Hayden Fowler
- Baylor Scott and White Institute for Rehabilitation, Dallas, Texas, USA
| | - Librada Callender
- Baylor Scott and White Institute for Rehabilitation, Dallas, Texas, USA
| | - Monica Bennett
- Baylor Scott & White Research Institute, Dallas, Texas, USA
| | - Chad Swank
- Baylor Scott and White Institute for Rehabilitation, Dallas, Texas, USA
| |
Collapse
|
|
15
|
Bester M, Moors S, Joshi R, Nichting TJ, van der Hout-van der Jagt MB, Oei SG, Mischi M, Vullings R, van Laar JOEH. Changes in Maternal Heart Rate Variability in Response to the Administration of Routine Obstetric Medication in Hospitalized Patients: Study Protocol for a Cohort Study (MAMA-Heart Study). Clin Pract 2021; 11:13-25. [PMID: 33599215 PMCID: PMC7838947 DOI: 10.3390/clinpract11010004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/15/2021] [Accepted: 01/18/2021] [Indexed: 12/05/2022] Open
Abstract
Pregnancy is a period of continuous change in the maternal cardiovascular system, partly mediated by the autonomic nervous system. Insufficient autonomic adaptation to increasing gestation is associated with pregnancy complications, such as hypertensive disorders of pregnancy and preterm birth (both major causes of perinatal morbidity and mortality). Consequently, maternal heart rate variability (mHRV), which is a proxy measure for autonomic activity, is increasingly assessed in these cohorts to investigate the pathophysiology of their complications. A better pathophysiological understanding could facilitate the early detection of these complications, which remains challenging. However, such studies (typically performed in pregnancies leading to hospitalization) have generated conflicting findings. A probable reason for these conflicting findings is that these study cohorts were likely administered routine obstetric medications during the study period of which the effects on mHRV are largely unknown. Subsequently, we design a longitudinal, observational study to quantifying the effect of these medications-particularly corticosteroids, which are known to affect fetal HRV-on mHRV to improve the interpretation of past and future studies. We will enroll 61 women admitted to a tertiary obstetric unit with an indication to receive corticosteroids antenatally. Participants' mHRV will be continuously acquired throughout their hospitalization with wrist-worn photoplethysmography to facilitate a within-patient comparison of the effect of corticosteroids on mHRV.
Collapse
Affiliation(s)
- Maretha Bester
- Department of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands; (S.M.); (T.J.N.); (M.B.v.d.H.-v.d.J.); (S.G.O.); (M.M.); (R.V.); (J.O.E.H.v.L.)
- Department of Family Care Solutions, Philips Research, 5656 AE Eindhoven, The Netherlands;
| | - Suzanne Moors
- Department of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands; (S.M.); (T.J.N.); (M.B.v.d.H.-v.d.J.); (S.G.O.); (M.M.); (R.V.); (J.O.E.H.v.L.)
- Department of Obstetrics and Gynecology, Máxima MC, 5504 DB Veldhoven, The Netherlands
| | - Rohan Joshi
- Department of Family Care Solutions, Philips Research, 5656 AE Eindhoven, The Netherlands;
| | - Thomas J. Nichting
- Department of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands; (S.M.); (T.J.N.); (M.B.v.d.H.-v.d.J.); (S.G.O.); (M.M.); (R.V.); (J.O.E.H.v.L.)
- Department of Obstetrics and Gynecology, Máxima MC, 5504 DB Veldhoven, The Netherlands
| | - M. Beatrijs van der Hout-van der Jagt
- Department of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands; (S.M.); (T.J.N.); (M.B.v.d.H.-v.d.J.); (S.G.O.); (M.M.); (R.V.); (J.O.E.H.v.L.)
- Department of Obstetrics and Gynecology, Máxima MC, 5504 DB Veldhoven, The Netherlands
- Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands
| | - S. Guid Oei
- Department of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands; (S.M.); (T.J.N.); (M.B.v.d.H.-v.d.J.); (S.G.O.); (M.M.); (R.V.); (J.O.E.H.v.L.)
- Department of Obstetrics and Gynecology, Máxima MC, 5504 DB Veldhoven, The Netherlands
| | - Massimo Mischi
- Department of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands; (S.M.); (T.J.N.); (M.B.v.d.H.-v.d.J.); (S.G.O.); (M.M.); (R.V.); (J.O.E.H.v.L.)
| | - Rik Vullings
- Department of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands; (S.M.); (T.J.N.); (M.B.v.d.H.-v.d.J.); (S.G.O.); (M.M.); (R.V.); (J.O.E.H.v.L.)
| | - Judith O. E. H. van Laar
- Department of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands; (S.M.); (T.J.N.); (M.B.v.d.H.-v.d.J.); (S.G.O.); (M.M.); (R.V.); (J.O.E.H.v.L.)
- Department of Obstetrics and Gynecology, Máxima MC, 5504 DB Veldhoven, The Netherlands
| |
Collapse
|
|
16
|
Mühlen JM, Stang J, Lykke Skovgaard E, Judice PB, Molina-Garcia P, Johnston W, Sardinha LB, Ortega FB, Caulfield B, Bloch W, Cheng S, Ekelund U, Brønd JC, Grøntved A, Schumann M. Recommendations for determining the validity of consumer wearable heart rate devices: expert statement and checklist of the INTERLIVE Network. Br J Sports Med 2021; 55:767-779. [PMID: 33397674 PMCID: PMC8273688 DOI: 10.1136/bjsports-2020-103148] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/24/2020] [Indexed: 01/06/2023]
Abstract
Assessing vital signs such as heart rate (HR) by wearable devices in a lifestyle-related environment provides widespread opportunities for public health related research and applications. Commonly, consumer wearable devices assessing HR are based on photoplethysmography (PPG), where HR is determined by absorption and reflection of emitted light by the blood. However, methodological differences and shortcomings in the validation process hamper the comparability of the validity of various wearable devices assessing HR. Towards Intelligent Health and Well-Being: Network of Physical Activity Assessment (INTERLIVE) is a joint European initiative of six universities and one industrial partner. The consortium was founded in 2019 and strives towards developing best-practice recommendations for evaluating the validity of consumer wearables and smartphones. This expert statement presents a best-practice validation protocol for consumer wearables assessing HR by PPG. The recommendations were developed through the following multi-stage process: (1) a systematic literature review based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, (2) an unstructured review of the wider literature pertaining to factors that may introduce bias during the validation of these devices and (3) evidence-informed expert opinions of the INTERLIVE Network. A total of 44 articles were deemed eligible and retrieved through our systematic literature review. Based on these studies, a wider literature review and our evidence-informed expert opinions, we propose a validation framework with standardised recommendations using six domains: considerations for the target population, criterion measure, index measure, testing conditions, data processing and the statistical analysis. As such, this paper presents recommendations to standardise the validity testing and reporting of PPG-based HR wearables used by consumers. Moreover, checklists are provided to guide the validation protocol development and reporting. This will ensure that manufacturers, consumers, healthcare providers and researchers use wearables safely and to its full potential.
Collapse
Affiliation(s)
- Jan M Mühlen
- Institute of Cardiovascular Research and Sports Medicine, Department of Molecular and Cellular Sports Medicine, German Sport University Cologne, Cologne, Germany
| | - Julie Stang
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Esben Lykke Skovgaard
- Department of Sports Science and Clinical Biomechanics, Research Unit for Exercise Epidemiology, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark
| | - Pedro B Judice
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal.,CIDEFES - Centro de Investigação em Desporto, Educação Física e Exercício e Saúde, Universidade Lusófona, Lisboa, Portugal
| | - Pablo Molina-Garcia
- PROFITH "PROmoting FITness and Health through physical activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - William Johnston
- SFI Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.,School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Luís B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Cruz-Quebrada Dafundo, Portugal
| | - Francisco B Ortega
- PROFITH "PROmoting FITness and Health through physical activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain.,Department of Biosciences and Nutrition, Karolinska Institute, Stockholm, Sweden
| | - Brian Caulfield
- SFI Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.,School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Wilhelm Bloch
- Institute of Cardiovascular Research and Sports Medicine, Department of Molecular and Cellular Sports Medicine, German Sport University Cologne, Cologne, Germany
| | - Sulin Cheng
- Institute of Cardiovascular Research and Sports Medicine, Department of Molecular and Cellular Sports Medicine, German Sport University Cologne, Cologne, Germany.,Exercise Translational Medicine Centre, the Key Laboratory of Systems Biomedicine, Ministry of Education, and Exercise, Health and Technology Centre, Department of Physical Education, Shanghai Jiao Tong University, Shanghai, China
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Jan Christian Brønd
- Department of Sports Science and Clinical Biomechanics, Research Unit for Exercise Epidemiology, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark
| | - Anders Grøntved
- Department of Sports Science and Clinical Biomechanics, Research Unit for Exercise Epidemiology, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark
| | - Moritz Schumann
- Institute of Cardiovascular Research and Sports Medicine, Department of Molecular and Cellular Sports Medicine, German Sport University Cologne, Cologne, Germany .,Exercise Translational Medicine Centre, the Key Laboratory of Systems Biomedicine, Ministry of Education, and Exercise, Health and Technology Centre, Department of Physical Education, Shanghai Jiao Tong University, Shanghai, China
| |
Collapse
|
|
17
|
Reliability of the Polar Vantage M Sports Watch when Measuring Heart Rate at Different Treadmill Exercise Intensities. Sports (Basel) 2020; 8:sports8090117. [PMID: 32842476 PMCID: PMC7552747 DOI: 10.3390/sports8090117] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 08/13/2020] [Accepted: 08/19/2020] [Indexed: 01/06/2023] Open
Abstract
Background: Usage of wrist-worn activity monitors has rapidly increased in recent years, and these devices are being used by both fitness enthusiasts and in clinical populations. We, therefore, assessed the test–retest reliability of the Polar Vantage M (PVM) watch when measuring heart rate (HR) during various treadmill exercise intensities. Methods: HR was measured every 30 s (simultaneous electrocardiography (ECG) and PVM). Test–retest reliability was determined using an intraclass correlation coefficient (ICC) with 95% confidence intervals (CIs). Standard error of measurement (SEM) and smallest real difference (SRD) were used to determine measurement variability. Results: A total of 29 participants completed the trials. ICC values for PVM during stages 1, 2 and 5 demonstrated good to excellent test–retest reliability (0.78, 0.78 and 0.92; 95% CI (0.54–0.90, 0.54–0.9, 0.79–0.97)). For PVM during stages 0 (rest), 3 and 4, the ICC values indicated poor to good reliability (0.42, 0.68 and 0.58; 95% CI (−0.27–0.73, 0.32–0.85, 0.14–0.80)). Conclusion: This study identified that the test–retest reliability of the PVM was comparable at low and high exercise intensities; however, it revealed a poor to good test–retest reliability at moderate intensities. The PVM should not be used in a clinical setting where monitoring of an accurate HR is crucial to the patients’ safety.
Collapse
|
|
18
|
Al-Qatatsheh A, Morsi Y, Zavabeti A, Zolfagharian A, Salim N, Z. Kouzani A, Mosadegh B, Gharaie S. Blood Pressure Sensors: Materials, Fabrication Methods, Performance Evaluations and Future Perspectives. SENSORS (BASEL, SWITZERLAND) 2020; 20:E4484. [PMID: 32796604 PMCID: PMC7474433 DOI: 10.3390/s20164484] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 07/31/2020] [Accepted: 08/04/2020] [Indexed: 12/14/2022]
Abstract
Advancements in materials science and fabrication techniques have contributed to the significant growing attention to a wide variety of sensors for digital healthcare. While the progress in this area is tremendously impressive, few wearable sensors with the capability of real-time blood pressure monitoring are approved for clinical use. One of the key obstacles in the further development of wearable sensors for medical applications is the lack of comprehensive technical evaluation of sensor materials against the expected clinical performance. Here, we present an extensive review and critical analysis of various materials applied in the design and fabrication of wearable sensors. In our unique transdisciplinary approach, we studied the fundamentals of blood pressure and examined its measuring modalities while focusing on their clinical use and sensing principles to identify material functionalities. Then, we carefully reviewed various categories of functional materials utilized in sensor building blocks allowing for comparative analysis of the performance of a wide range of materials throughout the sensor operational-life cycle. Not only this provides essential data to enhance the materials' properties and optimize their performance, but also, it highlights new perspectives and provides suggestions to develop the next generation pressure sensors for clinical use.
Collapse
Affiliation(s)
- Ahmed Al-Qatatsheh
- Faculty of Science, Engineering, and Technology (FSET), Swinburne University of Technology, Melbourne VIC 3122, Australia; (Y.M.); (N.S.)
| | - Yosry Morsi
- Faculty of Science, Engineering, and Technology (FSET), Swinburne University of Technology, Melbourne VIC 3122, Australia; (Y.M.); (N.S.)
| | - Ali Zavabeti
- Department of Chemical Engineering, The University of Melbourne, Parkville VIC 3010, Australia;
| | - Ali Zolfagharian
- Faculty of Science, Engineering and Built Environment, School of Engineering, Deakin University, Waurn Ponds VIC 3216, Australia; (A.Z.); (A.Z.K.)
| | - Nisa Salim
- Faculty of Science, Engineering, and Technology (FSET), Swinburne University of Technology, Melbourne VIC 3122, Australia; (Y.M.); (N.S.)
| | - Abbas Z. Kouzani
- Faculty of Science, Engineering and Built Environment, School of Engineering, Deakin University, Waurn Ponds VIC 3216, Australia; (A.Z.); (A.Z.K.)
| | - Bobak Mosadegh
- Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, NY 10065, USA;
| | - Saleh Gharaie
- Faculty of Science, Engineering and Built Environment, School of Engineering, Deakin University, Waurn Ponds VIC 3216, Australia; (A.Z.); (A.Z.K.)
| |
Collapse
|
|
19
|
Xiang L, Zeng X, Xia F, Jin W, Liu Y, Hu Y. Recent Advances in Flexible and Stretchable Sensing Systems: From the Perspective of System Integration. ACS NANO 2020; 14:6449-6469. [PMID: 32479071 DOI: 10.1021/acsnano.0c01164] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Biological signals generated during various biological processes are critically important for providing insight into the human physiological status. Recently, there have been many great efforts in developing flexible and stretchable sensing systems to provide biological signal monitoring platforms with intimate integration with biological surfaces. Here, this review summarizes the recent advances in flexible and stretchable sensing systems from the perspective of electronic system integration. A comprehensive general sensing system architecture is described, which consists of sensors, sensor interface circuits, memories, and digital processing units. The subsequent content focuses on the integration requirements and highlights some advanced progress for each component. Next, representative examples of flexible and stretchable sensing systems for electrophysiological, physical, and chemical information monitoring are introduced. This review concludes with an outlook on the remaining challenges and opportunities for future fully flexible or stretchable sensing systems.
Collapse
Affiliation(s)
- Li Xiang
- Key Laboratory for the Physics and Chemistry of Nanodevices, Center for Carbon-Based Electronics, Frontiers Science Center for Nano-optoelectronics, and Department of Electronics, Peking University, Beijing 100871, China
| | - Xiangwen Zeng
- Key Laboratory for the Physics and Chemistry of Nanodevices, Center for Carbon-Based Electronics, Frontiers Science Center for Nano-optoelectronics, and Department of Electronics, Peking University, Beijing 100871, China
| | - Fan Xia
- Key Laboratory for the Physics and Chemistry of Nanodevices, Center for Carbon-Based Electronics, Frontiers Science Center for Nano-optoelectronics, and Department of Electronics, Peking University, Beijing 100871, China
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Wanlin Jin
- Key Laboratory for the Physics and Chemistry of Nanodevices, Center for Carbon-Based Electronics, Frontiers Science Center for Nano-optoelectronics, and Department of Electronics, Peking University, Beijing 100871, China
| | - Youdi Liu
- Key Laboratory for the Physics and Chemistry of Nanodevices, Center for Carbon-Based Electronics, Frontiers Science Center for Nano-optoelectronics, and Department of Electronics, Peking University, Beijing 100871, China
| | - Youfan Hu
- Key Laboratory for the Physics and Chemistry of Nanodevices, Center for Carbon-Based Electronics, Frontiers Science Center for Nano-optoelectronics, and Department of Electronics, Peking University, Beijing 100871, China
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan 411105, China
| |
Collapse
|
|
20
|
Zhang Y, Weaver RG, Armstrong B, Burkart S, Zhang S, Beets MW. Validity of Wrist-Worn photoplethysmography devices to measure heart rate: A systematic review and meta-analysis. J Sports Sci 2020; 38:2021-2034. [PMID: 32552580 DOI: 10.1080/02640414.2020.1767348] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Heart rate (HR), when combined with accelerometry, can dramatically improve estimates of energy expenditure and sleep. Advancements in technology, via the development and introduction of small, low-cost photoplethysmography devices embedded within wrist-worn consumer wearables, have made the collection of heart rate (HR) under free-living conditions more feasible. This systematic review and meta-analysis compared the validity of wrist-worn HR estimates to a criterion measure of HR (electrocardiography ECG or chest strap). Searches of PubMed/Medline, Web of Science, EBSCOhost, PsycINFO, and EMBASE resulted in a total of 44 articles representing 738 effect sizes across 15 different brands. Multi-level random effects meta-analyses resulted in a small mean difference (beats per min, bpm) of -0.40 bpm (95 confidence interval (CI) -1.64 to 0.83) during sleep, -0.01 bpm (-0.02 to 0.00) during rest, -0.51 bpm (-1.60 to 0.58) during treadmill activities (walking to running), while the mean difference was larger during resistance training (-7.26 bpm, -10.46 to -4.07) and cycling (-4.55 bpm, -7.24 to -1.87). Mean difference increased by 3 bpm (2.5 to 3.5) per 10 bpm increase of HR for resistance training. Wrist-worn devices that measure HR demonstrate acceptable validity compared to a criterion measure of HR for most common activities.
Collapse
Affiliation(s)
- Yanan Zhang
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina , Columbia, SC, USA
| | - R Glenn Weaver
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina , Columbia, SC, USA
| | - Bridget Armstrong
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina , Columbia, SC, USA
| | - Sarah Burkart
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina , Columbia, SC, USA
| | - Shuxin Zhang
- School of Public Health, Nanjing Medical University , Nanjing, China
| | - Michael W Beets
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina , Columbia, SC, USA
| |
Collapse
|
|
21
|
Batalik L, Filakova K, Batalikova K, Dosbaba F. Remotely monitored telerehabilitation for cardiac patients: A review of the current situation. World J Clin Cases 2020; 8:1818-1831. [PMID: 32518772 PMCID: PMC7262700 DOI: 10.12998/wjcc.v8.i10.1818] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 04/05/2020] [Accepted: 04/28/2020] [Indexed: 02/05/2023] Open
Abstract
Cardiac rehabilitation through center-based programs is an effective multicomponent intervention for the secondary prevention of cardiovascular diseases. Despite the benefits it brings, patients' participation in rehabilitation programs remains low. In this work, the latest relevant literature regarding remotely monitored cardiac telerehabilitation (TR) was reviewed considering its efficiency and utilization. The main objective was to assess whether TR has the potential to be an appropriate alternative form of rehabilitation. A total of 105 publications on this topic were screened out of 747 full-text articles that were read and evaluated, of which 12 were considered suitable for inclusion in the final review. Feasibility, efficiency, and safety were assessed for each TR intervention. The results of our evaluation indicate that TR seems to be a usable, effective, and safe alternative rehabilitation for patients with heart disease. Most of the currently published articles have studied remotely monitored TR intervention offering a comprehensive approach, which indicates the significant development and steps forward in this field of study. Our research evidence supports the implementation of TR, which could positively influence barriers in participating in cardiac rehabilitation programs.
Collapse
Affiliation(s)
- Ladislav Batalik
- Department of Rehabilitation, University Hospital Brno, Brno 62500, Czech Republic
- Department of Cardiology and Internal Medicine, University Hospital Brno, Faculty of Medicine, Masaryk University Brno, Brno 62500, Czech Republic
| | - Katerina Filakova
- Department of Rehabilitation, University Hospital Brno, Brno 62500, Czech Republic
| | - Katerina Batalikova
- Department of Rehabilitation, University Hospital Brno, Brno 62500, Czech Republic
| | - Filip Dosbaba
- Department of Rehabilitation, University Hospital Brno, Brno 62500, Czech Republic
| |
Collapse
|
|
22
|
Chow HW, Yang CC. Accuracy of Optical Heart Rate Sensing Technology in Wearable Fitness Trackers for Young and Older Adults: Validation and Comparison Study. JMIR Mhealth Uhealth 2020; 8:e14707. [PMID: 32343255 PMCID: PMC7218601 DOI: 10.2196/14707] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 12/08/2019] [Accepted: 02/04/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Wearable fitness trackers are devices that can record and enhance physical activity among users. Recently, photoplethysmography (PPG) devices that use optical heart rate sensors to detect heart rate in real time have become popular and help in monitoring and controlling exercise intensity. Although the benefits of using optical heart rate monitors have been highlighted through studies, the accuracy of the readouts these commercial devices generate has not been widely assessed for different age groups, especially for the East Asian population with Fitzpatrick skin type III or IV. OBJECTIVE This study aimed to examine the accuracy of 2 wearable fitness trackers with PPG to monitor heart rate in real time during moderate exercise in young and older adults. METHODS A total of 20 young adults and 20 older adults were recruited for this study. All participants were asked to undergo a series of sedentary and moderate physical activities using indoor aerobic exercise equipment. In this study, the Polar H7 chest-strapped heart rate monitor was used as the criterion measure in 2 fitness trackers, namely Xiaomi Mi Band 2 and Garmin Vivosmart HR+. The real-time, second-by-second heart rate data obtained from both devices were recorded using the broadcast heart rate mode. To critically analyze the results, multiple statistical parameters including the mean absolute percentage error (MAPE), Lin concordance correlation coefficient (CCC), intraclass correlation coefficient, the Pearson product moment correlation coefficient, and the Bland-Altman coefficient were determined to examine the performances of the devices. RESULTS Both test devices exhibited acceptable overall accuracy as heart rate sensors based on several statistical tests. Notably, the MAPE values were below 10% (the designated threshold) in both devices (GarminYoung=3.77%; GarminSenior=4.73%; XiaomiYoung=7.69%; and XiaomiSenior=6.04%). The scores for reliability test of CCC for Garmin were 0.92 (Young) and 0.80 (Senior), whereas those for Xiaomi were 0.76 (Young) and 0.73 (Senior). However, the results obtained using the Bland-Altman analysis indicated that both test optical devices underestimated the average heart rate. More importantly, the study documented some unexpected outlier readings reported by these devices when used on certain participants. CONCLUSIONS The study reveals that commonly used optical heart rate sensors, such as the ones used herein, generally produce accurate heart rate readings irrespective of the age of the user. However, users should avoid relying entirely on these readings to indicate exercise intensities, as these devices have a tendency to produce erroneous, extreme readings, which might misinterpret the real-time exercise intensity. Future studies should therefore emphasize the occurrence rate of such errors, as this will likely benefit the development of improved models of heart rate sensors.
Collapse
Affiliation(s)
- Hsueh-Wen Chow
- Graduate Institute of Physical Education, Health & Leisure Studies, National Cheng Kung University, Tainan City, Taiwan
| | - Chao-Ching Yang
- Graduate Institute of Physical Education, Health & Leisure Studies, National Cheng Kung University, Tainan City, Taiwan
| |
Collapse
|
|
23
|
Bent B, Goldstein BA, Kibbe WA, Dunn JP. Investigating sources of inaccuracy in wearable optical heart rate sensors. NPJ Digit Med 2020; 3:18. [PMID: 32047863 PMCID: PMC7010823 DOI: 10.1038/s41746-020-0226-6] [Citation(s) in RCA: 289] [Impact Index Per Article: 57.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 01/17/2020] [Indexed: 11/15/2022] Open
Abstract
As wearable technologies are being increasingly used for clinical research and healthcare, it is critical to understand their accuracy and determine how measurement errors may affect research conclusions and impact healthcare decision-making. Accuracy of wearable technologies has been a hotly debated topic in both the research and popular science literature. Currently, wearable technology companies are responsible for assessing and reporting the accuracy of their products, but little information about the evaluation method is made publicly available. Heart rate measurements from wearables are derived from photoplethysmography (PPG), an optical method for measuring changes in blood volume under the skin. Potential inaccuracies in PPG stem from three major areas, includes (1) diverse skin types, (2) motion artifacts, and (3) signal crossover. To date, no study has systematically explored the accuracy of wearables across the full range of skin tones. Here, we explored heart rate and PPG data from consumer- and research-grade wearables under multiple circumstances to test whether and to what extent these inaccuracies exist. We saw no statistically significant difference in accuracy across skin tones, but we saw significant differences between devices, and between activity types, notably, that absolute error during activity was, on average, 30% higher than during rest. Our conclusions indicate that different wearables are all reasonably accurate at resting and prolonged elevated heart rate, but that differences exist between devices in responding to changes in activity. This has implications for researchers, clinicians, and consumers in drawing study conclusions, combining study results, and making health-related decisions using these devices.
Collapse
Affiliation(s)
- Brinnae Bent
- Department of Biomedical Engineering, Duke University, Durham, NC USA
| | | | - Warren A. Kibbe
- Department of Bioinformatics and Biostatistics, Duke University, Durham, NC USA
| | - Jessilyn P. Dunn
- Department of Biomedical Engineering, Duke University, Durham, NC USA
- Department of Bioinformatics and Biostatistics, Duke University, Durham, NC USA
| |
Collapse
|
|
24
|
Eerikainen LM, Bonomi AG, Schipper F, Dekker LRC, de Morree HM, Vullings R, Aarts RM. Detecting Atrial Fibrillation and Atrial Flutter in Daily Life Using Photoplethysmography Data. IEEE J Biomed Health Inform 2019; 24:1610-1618. [PMID: 31689222 DOI: 10.1109/jbhi.2019.2950574] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE Photoplethysmography (PPG) enables unobtrusive heart rate monitoring, which can be used in wrist-worn applications. Its potential for detecting atrial fibrillation (AF) has been recently presented. Besides AF, another cardiac arrhythmia increasing stroke risk and requiring treatment is atrial flutter (AFL). Currently, the knowledge about AFL detection with PPG is limited. The objective of our study was to develop a model that classifies AF, AFL, and sinus rhythm with or without premature beats from PPG and acceleration data measured at the wrist in daily life. METHODS A dataset of 40 patients was collected by measuring PPG and accelerometer data, as well as electrocardiogram as a reference, during 24-hour monitoring. The dataset was split into 75%-25% for training and testing a Random Forest (RF) model, which combines features from PPG, inter-pulse intervals (IPI), and accelerometer data, to classify AF, AFL, and other rhythms. The performance was compared to an AF detection algorithm combining traditional IPI features for determining the robustness of the accuracy in presence of AFL. RESULTS The RF model classified AF/AFL/other with sensitivity and specificity of 97.6/84.5/98.1% and 98.2/99.7/92.8%, respectively. The results with the IPI-based AF classifier showed that the majority of false detections were caused by AFL. CONCLUSION The PPG signal contains information to classify AFL in the presence of AF, sinus rhythm, or sinus rhythm with premature contractions. SIGNIFICANCE PPG could indicate presence of AFL, not only AF.
Collapse
|
|
25
|
Müller AM, Wang NX, Yao J, Tan CS, Low ICC, Lim N, Tan J, Tan A, Müller-Riemenschneider F. Heart Rate Measures From Wrist-Worn Activity Trackers in a Laboratory and Free-Living Setting: Validation Study. JMIR Mhealth Uhealth 2019; 7:e14120. [PMID: 31579026 PMCID: PMC6777285 DOI: 10.2196/14120] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 06/21/2019] [Accepted: 07/08/2019] [Indexed: 01/05/2023] Open
Abstract
Background Wrist-worn activity trackers are popular, and an increasing number of these devices are equipped with heart rate (HR) measurement capabilities. However, the validity of HR data obtained from such trackers has not been thoroughly assessed outside the laboratory setting. Objective This study aimed to investigate the validity of HR measures of a high-cost consumer-based tracker (Polar A370) and a low-cost tracker (Tempo HR) in the laboratory and free-living settings. Methods Participants underwent a laboratory-based cycling protocol while wearing the two trackers and the chest-strapped Polar H10, which acted as criterion. Participants also wore the devices throughout the waking hours of the following day during which they were required to conduct at least one 10-min bout of moderate-to-vigorous physical activity (MVPA) to ensure variability in the HR signal. We extracted 10-second values from all devices and time-matched HR data from the trackers with those from the Polar H10. We calculated intraclass correlation coefficients (ICCs), mean absolute errors, and mean absolute percentage errors (MAPEs) between the criterion and the trackers. We constructed decile plots that compared HR data from Tempo HR and Polar A370 with criterion measures across intensity deciles. We investigated how many HR data points within the MVPA zone (≥64% of maximum HR) were detected by the trackers. Results Of the 57 people screened, 55 joined the study (mean age 30.5 [SD 9.8] years). Tempo HR showed moderate agreement and large errors (laboratory: ICC 0.51 and MAPE 13.00%; free-living: ICC 0.71 and MAPE 10.20%). Polar A370 showed moderate-to-strong agreement and small errors (laboratory: ICC 0.73 and MAPE 6.40%; free-living: ICC 0.83 and MAPE 7.10%). Decile plots indicated increasing differences between Tempo HR and the criterion as HRs increased. Such trend was less pronounced when considering the Polar A370 HR data. Tempo HR identified 62.13% (1872/3013) and 54.27% (5717/10,535) of all MVPA time points in the laboratory phase and free-living phase, respectively. Polar A370 detected 81.09% (2273/2803) and 83.55% (9323/11,158) of all MVPA time points in the laboratory phase and free-living phase, respectively. Conclusions HR data from the examined wrist-worn trackers were reasonably accurate in both the settings, with the Polar A370 showing stronger agreement with the Polar H10 and smaller errors. Inaccuracies increased with increasing HRs; this was pronounced for Tempo HR.
Collapse
Affiliation(s)
- Andre Matthias Müller
- Health Systems & Behavioral Sciences, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.,Centre for Sport & Exercise Sciences, University of Malaya, Kuala Lumpur, Malaysia
| | - Nan Xin Wang
- Health Systems & Behavioral Sciences, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Jiali Yao
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Ivan Cherh Chiet Low
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Nicole Lim
- Health Promotion Board Singapore, Singapore, Singapore
| | - Jeremy Tan
- Health Promotion Board Singapore, Singapore, Singapore
| | - Agnes Tan
- Health Promotion Board Singapore, Singapore, Singapore
| | - Falk Müller-Riemenschneider
- Health Systems & Behavioral Sciences, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.,Institute for Social Medicine, Epidemiology and Health Economics, Charite University Medical Centre Berlin, Berlin, Germany
| |
Collapse
|
|
26
|
Use of a non-human robot audience to induce stress reactivity in human participants. COMPUTERS IN HUMAN BEHAVIOR 2019. [DOI: 10.1016/j.chb.2019.05.019] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
|
|
27
|
Tedesco S, Sica M, Ancillao A, Timmons S, Barton J, O’Flynn B. Accuracy of consumer-level and research-grade activity trackers in ambulatory settings in older adults. PLoS One 2019; 14:e0216891. [PMID: 31112585 PMCID: PMC6529154 DOI: 10.1371/journal.pone.0216891] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 04/30/2019] [Indexed: 11/23/2022] Open
Abstract
Wrist-worn activity trackers have experienced a tremendous growth lately and studies on the accuracy of mainstream trackers used by older adults are needed. This study explores the performance of six trackers (Fitbit Charge2, Garmin VivoSmart HR+, Philips Health Watch, Withings Pulse Ox, ActiGraph GT9X-BT, Omron HJ-72OITC) for estimating: steps, travelled distance, and heart-rate measurements for a cohort of older adults. Eighteen older adults completed a structured protocol involving walking tasks, simulated household activities, and sedentary activities. Less standardized activities were also included, such as: dusting, using a walking aid, or playing cards, in order to simulate real-life scenarios. Wrist-mounted and chest/waist-mounted devices were used. Gold-standards included treadmill, ECG-based chest strap, direct observation or video recording according to the activity and parameter. Every tracker showed a decreasing accuracy with slower walking speed, which resulted in a significant step under-counting. A large mean absolute percentage error (MAPE) was found for every monitor at slower walking speeds with the lowest reported MAPE at 2 km/h being 7.78%, increasing to 20.88% at 1.5 km/h, and 44.53% at 1 km/h. During household activities, the MAPE climbing up/down-stairs ranged from 8.38–19.3% and 10.06–19.01% (dominant and non-dominant arm), respectively. Waist-worn devices showed a more uniform performance. However, unstructured activities (e.g. dusting, playing cards), and using a walking aid represent a challenge for all wrist-worn trackers as evidenced by large MAPE (> 57.66% for dusting, > 67.32% when using a walking aid). Poor performance in travelled distance estimation was also evident during walking at low speeds and climbing up/down-stairs (MAPE > 71.44% and > 48.3%, respectively). Regarding heart-rate measurement, there was no significant difference (p-values > 0.05) in accuracy between trackers placed on the dominant or non-dominant arm. Concordant with existing literature, while the mean error was limited (between -3.57 bpm and 4.21 bpm), a single heart-rate measurement could be underestimated up to 30 beats-per-minute. This study showed a number of limitations of consumer-level wrist-based activity trackers for older adults. Therefore caution is required when used, in healthcare or in research settings, to measure activity in older adults.
Collapse
Affiliation(s)
- Salvatore Tedesco
- Tyndall National Institute, University College Cork, Cork, Ireland
- * E-mail:
| | - Marco Sica
- Tyndall National Institute, University College Cork, Cork, Ireland
| | - Andrea Ancillao
- Tyndall National Institute, University College Cork, Cork, Ireland
| | - Suzanne Timmons
- Centre for Gerontology and Rehabilitation, University College Cork, Cork, Ireland
| | - John Barton
- Tyndall National Institute, University College Cork, Cork, Ireland
| | - Brendan O’Flynn
- Tyndall National Institute, University College Cork, Cork, Ireland
| |
Collapse
|
|
28
|
Ray TR, Choi J, Bandodkar AJ, Krishnan S, Gutruf P, Tian L, Ghaffari R, Rogers JA. Bio-Integrated Wearable Systems: A Comprehensive Review. Chem Rev 2019; 119:5461-5533. [PMID: 30689360 DOI: 10.1021/acs.chemrev.8b00573] [Citation(s) in RCA: 487] [Impact Index Per Article: 81.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Bio-integrated wearable systems can measure a broad range of biophysical, biochemical, and environmental signals to provide critical insights into overall health status and to quantify human performance. Recent advances in material science, chemical analysis techniques, device designs, and assembly methods form the foundations for a uniquely differentiated type of wearable technology, characterized by noninvasive, intimate integration with the soft, curved, time-dynamic surfaces of the body. This review summarizes the latest advances in this emerging field of "bio-integrated" technologies in a comprehensive manner that connects fundamental developments in chemistry, material science, and engineering with sensing technologies that have the potential for widespread deployment and societal benefit in human health care. An introduction to the chemistries and materials for the active components of these systems contextualizes essential design considerations for sensors and associated platforms that appear in following sections. The subsequent content highlights the most advanced biosensors, classified according to their ability to capture biophysical, biochemical, and environmental information. Additional sections feature schemes for electrically powering these sensors and strategies for achieving fully integrated, wireless systems. The review concludes with an overview of key remaining challenges and a summary of opportunities where advances in materials chemistry will be critically important for continued progress.
Collapse
Affiliation(s)
- Tyler R Ray
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - Jungil Choi
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - Amay J Bandodkar
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - Siddharth Krishnan
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - Philipp Gutruf
- Department of Biomedical Engineering University of Arizona Tucson , Arizona 85721 , United States
| | - Limei Tian
- Department of Biomedical Engineering , Texas A&M University , College Station , Texas 77843 , United States
| | - Roozbeh Ghaffari
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - John A Rogers
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| |
Collapse
|