BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Bayoumy K, Gaber M, Elshafeey A, Mhaimeed O, Dineen EH, Marvel FA, Martin SS, Muse ED, Turakhia MP, Tarakji KG, Elshazly MB. Smart wearable devices in cardiovascular care: where we are and how to move forward. Nat Rev Cardiol 2021;18:581-99. [PMID: 33664502 DOI: 10.1038/s41569-021-00522-7] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 8.0] [Reference Citation Analysis]
Number Citing Articles
1 Kreidieh O, Varley AL, Romero J, Singh D, Silverstein J, Thosani A, Varosy P, Hebsur S, Godfrey BE, Schrappe G, Justice L, Zei PC, Osorio J. Practice Patterns of Operators Participating in the Real-World Experience of Catheter Ablation for Treatment of Symptomatic Paroxysmal and Persistent Atrial Fibrillation (REAL-AF) Registry. J Interv Card Electrophysiol 2022. [PMID: 35438393 DOI: 10.1007/s10840-022-01205-0] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Ben Itzhak S, Ricon SS, Biton S, Behar JA, Sobel JA. Effect of temporal resolution on the detection of cardiac arrhythmias using HRV features and machine learning. Physiol Meas 2022;43. [PMID: 35506573 DOI: 10.1088/1361-6579/ac6561] [Reference Citation Analysis]
3 Kwon S, Lee SR, Choi EK, Ahn HJ, Song HS, Lee YS, Oh S. Validation of Adhesive Single-Lead ECG Device Compared with Holter Monitoring among Non-Atrial Fibrillation Patients. Sensors (Basel) 2021;21:3122. [PMID: 33946269 DOI: 10.3390/s21093122] [Reference Citation Analysis]
4 Brown MS, Somma L, Mendoza M, Noh Y, Mahler GJ, Koh A. Upcycling Compact Discs for Flexible and Stretchable Bioelectronic Applications. Nat Commun 2022;13:3727. [PMID: 35764646 DOI: 10.1038/s41467-022-31338-9] [Reference Citation Analysis]
5 Wang Y, Xu X, Hajra A, Apple S, Kharawala A, Duarte G, Liaqat W, Fu Y, Li W, Chen Y, Faillace RT. Current Advancement in Diagnosing Atrial Fibrillation by Utilizing Wearable Devices and Artificial Intelligence: A Review Study. Diagnostics 2022;12:689. [DOI: 10.3390/diagnostics12030689] [Reference Citation Analysis]
6 McGillion MH, Allan K, Ross-Howe S, Jiang W, Graham M, Marcucci M, Johnson A, Scott T, Ouellette C, Kocetkov D, Lounsbury J, Bird M, Harsha P, Sanchez K, Harvey V, Vincent J, Borges FK, Carroll SL, Peter E, Patel A, Bergh S, Devereaux PJ. Beyond wellness monitoring: Continuous multiparameter remote automated monitoring of patients. Can J Cardiol 2021:S0828-282X(21)00812-6. [PMID: 34742860 DOI: 10.1016/j.cjca.2021.10.011] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Gehr S, Russmann C. Shaping the future of cardiovascular medicine in the new era of wearable devices. Nat Rev Cardiol 2022. [PMID: 35681032 DOI: 10.1038/s41569-022-00729-2] [Reference Citation Analysis]
8 Hong Y, Wang B, Long Z, Zhang Z, Pan Q, Liu S, Luo X, Yang Z. Hierarchically Interconnected Piezoceramic Textile with a Balanced Performance in Piezoelectricity, Flexibility, Toughness, and Air Permeability. Adv Funct Mater 2021;31:2104737. [DOI: 10.1002/adfm.202104737] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 8.0] [Reference Citation Analysis]
9 Ruberti OM, Yugar-Toledo JC, Moreno H, Rodrigues B. Hypertension telemonitoring and home-based physical training programs. Blood Press 2021;:1-11. [PMID: 34714208 DOI: 10.1080/08037051.2021.1996221] [Reference Citation Analysis]
10 Naseri Jahfari A, Tax D, Reinders M, van der Bilt I. Machine Learning for Cardiovascular Outcomes From Wearable Data: Systematic Review From a Technology Readiness Level Point of View. JMIR Med Inform 2022;10:e29434. [PMID: 35044316 DOI: 10.2196/29434] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Glöckner D, Zeus T, Kelm M, Makimoto H. Recurrent nocturnal ST-T deviation and nonsustained ventricular tachycardias recorded with a smartwatch: A case report. Journal of Cardiology Cases 2022. [DOI: 10.1016/j.jccase.2022.04.006] [Reference Citation Analysis]
12 Nachman D, Rahamim E, Kolben Y, Mengesha B, Elbaz-Greener G, Amir O, Asleh R. In Search of Clinical Impact: Advanced Monitoring Technologies in Daily Heart Failure Care. J Clin Med 2021;10:4692. [PMID: 34682813 DOI: 10.3390/jcm10204692] [Reference Citation Analysis]
13 Xiong P, Lee SM, Chan G. Deep Learning for Detecting and Locating Myocardial Infarction by Electrocardiogram: A Literature Review. Front Cardiovasc Med 2022;9:860032. [DOI: 10.3389/fcvm.2022.860032] [Reference Citation Analysis]
14 Murray K, Wahid M, Alagiakrishnan K, Senaratne J. Clinical electrophysiology of the aging heart. Expert Rev Cardiovasc Ther 2022;:1-17. [PMID: 35282746 DOI: 10.1080/14779072.2022.2045196] [Reference Citation Analysis]
15 Haider S, Goenka A, Mahmeen M, Sunny S, Phan T, Mehdi SA, Hassan DM, Weber E. A Disease Pathway Framework for Pain Point Identification and Elaboration of Product Requirements Across Patient Care Plan Using Innovation Think Tank Global Infrastructure. Front Public Health 2022;10:862384. [DOI: 10.3389/fpubh.2022.862384] [Reference Citation Analysis]
16 Xintarakou A, Sousonis V, Asvestas D, Vardas PE, Tzeis S. Remote Cardiac Rhythm Monitoring in the Era of Smart Wearables: Present Assets and Future Perspectives. Front Cardiovasc Med 2022;9:853614. [PMID: 35299975 DOI: 10.3389/fcvm.2022.853614] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
17 Grattoni A, Cooke JP. Emerging nanotechnologies in cardiovascular medicine. Nanomedicine 2021;39:102472. [PMID: 34715052 DOI: 10.1016/j.nano.2021.102472] [Reference Citation Analysis]
18 Zhu Y, Qin J, Shi G, Sun C, Ingram M, Qian S, Lu J, Zhang S, Zhong YL. A focus review on 3D printing of wearable energy storage devices. Carbon Energy. [DOI: 10.1002/cey2.199] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Bacevicius J, Abramikas Z, Dvinelis E, Audzijoniene D, Petrylaite M, Marinskiene J, Staigyte J, Karuzas A, Juknevicius V, Jakaite R, Basyte-Bacevice V, Bileisiene N, Solosenko A, Sokas D, Petrenas A, Butkuviene M, Paliakaite B, Daukantas S, Rapalis A, Marinskis G, Jasiunas E, Darma A, Marozas V, Aidietis A. High Specificity Wearable Device With Photoplethysmography and Six-Lead Electrocardiography for Atrial Fibrillation Detection Challenged by Frequent Premature Contractions: DoubleCheck-AF. Front Cardiovasc Med 2022;9:869730. [PMID: 35463751 DOI: 10.3389/fcvm.2022.869730] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Sunny JS, Patro CPK, Karnani K, Pingle SC, Lin F, Anekoji M, Jones LD, Kesari S, Ashili S. Anomaly Detection Framework for Wearables Data: A Perspective Review on Data Concepts, Data Analysis Algorithms and Prospects. Sensors 2022;22:756. [DOI: 10.3390/s22030756] [Reference Citation Analysis]
21 Kushagra A, Dasgupta U, Roychowdhury S, Samanta S, Srivastava S. Reflectocardiography (RCG): A leadless, optical reflection based facile measurement of human cardiac rhythm. AIP Advances 2022;12:015113. [DOI: 10.1063/5.0076791] [Reference Citation Analysis]
22 Moses JC, Adibi S, Angelova M, Islam SMS. Smart Home Technology Solutions for Cardiovascular Diseases: A Systematic Review. ASI 2022;5:51. [DOI: 10.3390/asi5030051] [Reference Citation Analysis]
23 Queen D. Data privacy and management ‐ A COVID legacy or curse? International Wound Journal 2022;19:729-30. [DOI: 10.1111/iwj.13807] [Reference Citation Analysis]
24 Luu L, Pillai A, Lea H, Buendia R, Khan FM, Dennis G. Accurate Step Count with Generalized and Personalized Deep Learning on Accelerometer Data. Sensors 2022;22:3989. [DOI: 10.3390/s22113989] [Reference Citation Analysis]
25 Mohanty S, Trivedi C, Della Rocca DG, Gianni C, Macdonald B, Mayedo A, Shetty S, Natale E, Burkhardt JD, Bassiouny M, Gallinghouse GJ, Horton R, Al-ahmad A, Natale A. Impact of digital monitoring on compliance and outcome of lifestyle-change measures in patients with coexistent atrial fibrillation and obesity. Cardiovascular Digital Health Journal 2022. [DOI: 10.1016/j.cvdhj.2022.01.001] [Reference Citation Analysis]
26 Das R, Zeng W, Asci C, Del-Rio-Ruiz R, Sonkusale S. Recent progress in electrospun nanomaterials for wearables. APL Bioeng 2022;6:021505. [PMID: 35783456 DOI: 10.1063/5.0088136] [Reference Citation Analysis]
27 Butt MA, Kazanskiy NL, Khonina SN. Revolution in Flexible Wearable Electronics for Temperature and Pressure Monitoring—A Review. Electronics 2022;11:716. [DOI: 10.3390/electronics11050716] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
28 Zhou W, Chan YE, Foo CS, Zhang J, Teo JX, Davila S, Huang W, Yap J, Cook S, Tan P, Chin CW, Yeo KK, Lim WK, Krishnaswamy P. High-Resolution Digital Phenotypes From Consumer Wearables and Their Applications in Machine Learning of Cardiometabolic Risk Markers: Cohort Study. J Med Internet Res 2022;24:e34669. [PMID: 35904853 DOI: 10.2196/34669] [Reference Citation Analysis]
29 Han SA, Naqi M, Kim S, Kim JH. All‐day wearable health monitoring system. EcoMat. [DOI: 10.1002/eom2.12198] [Reference Citation Analysis]
30 Erickson ML, Wang W, Counts J, Redman LM, Parker D, Huebner JL, Dunn J, Kraus WE. Field-Based Assessments of Behavioral Patterns During Shiftwork in Police Academy Trainees Using Wearable Technology. J Biol Rhythms 2022;:7487304221087068. [PMID: 35416084 DOI: 10.1177/07487304221087068] [Reference Citation Analysis]
31 Kazanskiy NL, Butt MA, Khonina SN. Recent Advances in Wearable Optical Sensor Automation Powered by Battery versus Skin-like Battery-Free Devices for Personal Healthcare-A Review. Nanomaterials (Basel) 2022;12:334. [PMID: 35159679 DOI: 10.3390/nano12030334] [Cited by in Crossref: 8] [Cited by in F6Publishing: 4] [Article Influence: 8.0] [Reference Citation Analysis]
32 Hazra RS, Hasan Khan MR, Kale N, Tanha T, Khandare J, Ganai S, Quadir M. Bioinspired Materials for Wearable Devices and Point-of-Care Testing of Cancer. ACS Biomater Sci Eng 2022. [PMID: 35679474 DOI: 10.1021/acsbiomaterials.1c01208] [Reference Citation Analysis]
33 Zimmermann WH. Remote control of the heart and beyond. Science 2022;376:917-8. [PMID: 35617399 DOI: 10.1126/science.abq0605] [Reference Citation Analysis]
34 Niu L, Peng X, Chen L, Liu Q, Wang T, Dong K, Pan H, Cong H, Liu G, Jiang G, Chen C, Ma P. Industrial production of bionic scales knitting fabric-based triboelectric nanogenerator for outdoor rescue and human protection. Nano Energy 2022;97:107168. [DOI: 10.1016/j.nanoen.2022.107168] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
35 Mirzajani H, Istif E, Abbasiasl T, Mirlou F, Özkahraman EE, Hasanreisoglu M, Beker L. Femtosecond Laser Ablation Assisted NFC Antenna Fabrication for Smart Contact Lenses. Adv Materials Technologies. [DOI: 10.1002/admt.202101629] [Reference Citation Analysis]
36 Rhodes CJ, Sweatt AJ, Maron BA. Harnessing Big Data to Advance Treatment and Understanding of Pulmonary Hypertension. Circ Res 2022;130:1423-44. [PMID: 35482840 DOI: 10.1161/CIRCRESAHA.121.319969] [Reference Citation Analysis]
37 Bhatt AS, Adler ED, Albert NM, Anyanwu A, Bhadelia N, Cooper LT, Correa A, Defilippis EM, Joyce E, Sauer AJ, Solomon SD, Vardeny O, Yancy C, Lala A. Coronavirus Disease-2019 and Heart Failure: A Scientific Statement From the Heart Failure Society of America. J Card Fail 2021:S1071-9164(21)00354-7. [PMID: 34481067 DOI: 10.1016/j.cardfail.2021.08.013] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
38 Kaze AD, Agoons DD, Santhanam P, Erqou S, Ahima RS, Echouffo-Tcheugui JB. Correlates of cardiorespiratory fitness among overweight or obese individuals with type 2 diabetes. BMJ Open Diabetes Res Care 2022;10:e002446. [PMID: 34987052 DOI: 10.1136/bmjdrc-2021-002446] [Reference Citation Analysis]
39 Sui J, Mo T. Morality in the era of smart devices. IJOEM 2021;17:1107-22. [DOI: 10.1108/ijoem-06-2021-0917] [Reference Citation Analysis]
40 Cassol C, Sharma S. Nephrology Lagging Behind in Machine Learning Utilization. Kidney Med 2021;3:693-5. [PMID: 34693249 DOI: 10.1016/j.xkme.2021.08.004] [Reference Citation Analysis]
41 Yin Z, Wong STC. Artificial intelligence unifies knowledge and actions in drug repositioning. Emerg Top Life Sci 2021;5:803-13. [PMID: 34881780 DOI: 10.1042/ETLS20210223] [Reference Citation Analysis]
42 Liu X, Chen M, Liang T, Lou C, Wang H, Liu X. A lightweight double-channel depthwise separable convolutional neural network for multimodal fusion gait recognition. Math Biosci Eng 2022;19:1195-212. [PMID: 35135200 DOI: 10.3934/mbe.2022055] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
43 Brahmbhatt DH, Ross HJ, Moayedi Y. Digital Technology Application for Improved Responses to Health Care Challenges: Lessons Learned From COVID-19. Can J Cardiol 2021:S0828-282X(21)00915-6. [PMID: 34863912 DOI: 10.1016/j.cjca.2021.11.014] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [Reference Citation Analysis]
44 Wang KM, Chang TI. Blood Pressure Variability: Not to Be Discounted. Am J Hypertens 2022;35:118-20. [PMID: 34622281 DOI: 10.1093/ajh/hpab160] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
45 Heng W, Solomon S, Gao W. Flexible Electronics and Devices as Human-Machine Interfaces for Medical Robotics. Adv Mater 2022;34:e2107902. [PMID: 34897836 DOI: 10.1002/adma.202107902] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 9.0] [Reference Citation Analysis]
46 Corman BHP, Rajupet S, Ye F, Schoenfeld ER. The Role of Unobtrusive Home-Based Continuous Sensing in the Management of Post-Acute Sequelae of SARS CoV-2. J Med Internet Res 2021. [PMID: 34932496 DOI: 10.2196/32713] [Reference Citation Analysis]
47 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 DOI: 10.1016/j.ypmed.2022.107170] [Reference Citation Analysis]
48 Allan KS, O'Neil E, Currie MM, Lin S, Sapp JL, Dorian P. Responding to Cardiac Arrest in the Community in the Digital Age. Can J Cardiol 2021:S0828-282X(21)00928-4. [PMID: 34954009 DOI: 10.1016/j.cjca.2021.12.005] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
49 Vilela EM, Ladeiras-Lopes R, Joao A, Braga J, Torres S, Viamonte S, Ribeiro J, Teixeira M, Nunes JP, Fontes-Carvalho R. Current role and future perspectives of cardiac rehabilitation in coronary heart disease. World J Cardiol 2021; 13(12): 695-709 [DOI: 10.4330/wjc.v13.i12.695] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
50 Varghese A, Muraleedharan Sylaja M, Kurian J. Conception and realization of an IoT-enabled deep CNN decision support system for automated arrhythmia classification. Journal of Intelligent Systems 2022;31:407-19. [DOI: 10.1515/jisys-2022-0015] [Reference Citation Analysis]
51 Leclercq C, Witt H, Hindricks G, Katra RP, Albert D, Belliger A, Cowie MR, Deneke T, Friedman P, Haschemi M, Lobban T, Lordereau I, McConnell MV, Rapallini L, Samset E, Turakhia MP, Singh JP, Svennberg E, Wadhwa M, Weidinger F. Wearables, telemedicine, and artificial intelligence in arrhythmias and heart failure: Proceedings of the European Society of Cardiology: Cardiovascular Round Table. Europace 2022:euac052. [PMID: 35640917 DOI: 10.1093/europace/euac052] [Reference Citation Analysis]
52 Ford C, Xie CX, Low A, Rajakariar K, Koshy AN, Sajeev JK, Roberts L, Pathik B, Teh AW. Comparison of 2 Smart Watch Algorithms for Detection of Atrial Fibrillation and the Benefit of Clinician Interpretation: SMART WARS Study. JACC Clin Electrophysiol 2022;8:782-91. [PMID: 35738855 DOI: 10.1016/j.jacep.2022.02.013] [Reference Citation Analysis]
53 Dagher L, Nedunchezhian S, El Hajjar AH, Zhang Y, Deffer O Jr, Russell A, Pottle C, Marrouche N. A Cardiovascular Clinic Patients' Survey to Assess Challenges and Opportunities of Digital Health Adoption During the COVID-19 Pandemic Digital Health Survey During COVID-19. Cardiovasc Digit Health J 2021. [PMID: 34812430 DOI: 10.1016/j.cvdhj.2021.10.007] [Reference Citation Analysis]
54 Khedraki R, Srivastava AV, Bhavnani SP. Framework for Digital Health Phenotypes in Heart Failure. Heart Failure Clinics 2022. [DOI: 10.1016/j.hfc.2021.12.003] [Reference Citation Analysis]
55 Extermann M, Hernández-Favela CG, Soto Perez de Celis E, Kanesvaran R. Global Aging and Cancer: Advancing Care Through Innovation. Am Soc Clin Oncol Educ Book 2022;42:1-8. [PMID: 35452248 DOI: 10.1200/EDBK_359154] [Reference Citation Analysis]
56 Manoni A, Gumiero A, Zampogna A, Ciarlo C, Panetta L, Suppa A, Della Torre L, Irrera F. Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications. Sensors (Basel) 2022;22:2566. [PMID: 35408181 DOI: 10.3390/s22072566] [Reference Citation Analysis]
57 Weng X, Zhang C, Feng C, Jiang H. Facile Fabrication of an Ultrasensitive All‐Fabric Wearable Pressure Sensor Based on Phosphorene‐Gold Nanocomposites. Adv Materials Inter 2022;9:2102588. [DOI: 10.1002/admi.202102588] [Reference Citation Analysis]
58 Tanaka A, Node K. Call for Fine Remote Monitoring of Prognostic Signs and Symptoms in Heart Failure. JACC Heart Fail 2021;9:530. [PMID: 34210389 DOI: 10.1016/j.jchf.2021.04.006] [Reference Citation Analysis]