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For: Nascimento LMSD, Bonfati LV, Freitas MB, Mendes Junior JJA, Siqueira HV, Stevan SL Jr. Sensors and Systems for Physical Rehabilitation and Health Monitoring-A Review. Sensors (Basel) 2020;20:E4063. [PMID: 32707749 DOI: 10.3390/s20154063] [Cited by in Crossref: 24] [Cited by in F6Publishing: 26] [Article Influence: 12.0] [Reference Citation Analysis]
Number Citing Articles
1 Hamilton RI, Williams J, Holt C, OATech Network+ Consortium. Biomechanics beyond the lab: Remote technology for osteoarthritis patient data—A scoping review. Front Rehabilit Sci 2022;3. [DOI: 10.3389/fresc.2022.1005000] [Reference Citation Analysis]
2 Arntz A, Weber F, Handgraaf M, Lällä K, Korniloff K, Murtonen K, Chichaeva J, Kidritsch A, Heller M, Sakellari E, Athanasopoulou C, Lagiou A, Tzonichak I, Salinas-bueno I, Martínez-bueso P, Velasco-roldán O, Schulz R, Grüneberg C. Technologies in home-based digital rehabilitation: A scoping review (Preprint).. [DOI: 10.2196/preprints.43615] [Reference Citation Analysis]
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4 Carnevale A, Mannocchi I, Sassi MSH, Carli M, De Luca GD, Longo UG, Denaro V, Schena E. Virtual Reality for Shoulder Rehabilitation: Accuracy Evaluation of Oculus Quest 2. Sensors 2022;22:5511. [DOI: 10.3390/s22155511] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Hui Z, Wang P, Yang J, Zhou J, Huang W, Sun G. Stiffness Engineering of Ti 3 C 2 T X MXene‐Based Skin‐Inspired Pressure Sensor with Broad‐Range Ultrasensitivity, Low Detection Limit, and Gas Permeability. Adv Materials Inter 2022;9:2200261. [DOI: 10.1002/admi.202200261] [Reference Citation Analysis]
6 Lv Z, Li Y. Wearable Sensors for Vital Signs Measurement: A Survey. JSAN 2022;11:19. [DOI: 10.3390/jsan11010019] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
7 French MA, Roemmich RT, Daley K, Beier M, Penttinen S, Raghavan P, Searson P, Wegener S, Celnik P. Precision rehabilitation: optimizing function, adding value to health care. Arch Phys Med Rehabil 2022:S0003-9993(22)00213-1. [PMID: 35181267 DOI: 10.1016/j.apmr.2022.01.154] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
8 Al-jaroodi J, Mohamed N. Healthcare 4.0 significance and benefits affirmed by the COVID-19 pandemic. Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions 2022. [DOI: 10.1016/b978-0-12-821318-6.00005-0] [Reference Citation Analysis]
9 Mieronkoski R, Azimi I, Sequeira L, Peltonen L. Smart home technology for geriatric rehabilitation and the Internet of Things. Smart Home Technologies and Services for Geriatric Rehabilitation 2022. [DOI: 10.1016/b978-0-323-85173-2.00006-0] [Reference Citation Analysis]
10 Timmermann C, Ursin F, Predel C, Steger F. Aligning Patient's Ideas of a Good Life with Medically Indicated Therapies in Geriatric Rehabilitation Using Smart Sensors. Sensors (Basel) 2021;21:8479. [PMID: 34960570 DOI: 10.3390/s21248479] [Reference Citation Analysis]
11 Gavrila V, Bajenaru L, Tomescu M, Dobre C. Medical Rehabilitation System Based on Depth Camera: vINCI study. 2021 International Conference on e-Health and Bioengineering (EHB) 2021. [DOI: 10.1109/ehb52898.2021.9657649] [Reference Citation Analysis]
12 Palumbo A, Vizza P, Calabrese B, Ielpo N. Biopotential Signal Monitoring Systems in Rehabilitation: A Review. Sensors (Basel) 2021;21:7172. [PMID: 34770477 DOI: 10.3390/s21217172] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
13 Zahid M, Zych A, Dussoni S, Spallanzani G, Donno R, Maggiali M, Athanassiou A. Wearable and self-healable textile-based strain sensors to monitor human muscular activities. Composites Part B: Engineering 2021;220:108969. [DOI: 10.1016/j.compositesb.2021.108969] [Cited by in Crossref: 8] [Cited by in F6Publishing: 10] [Article Influence: 8.0] [Reference Citation Analysis]
14 Ko ST, Asplund F, Zeybek B. A Scoping Review of Pressure Measurements in Prosthetic Sockets of Transfemoral Amputees during Ambulation: Key Considerations for Sensor Design. Sensors (Basel) 2021;21:5016. [PMID: 34372253 DOI: 10.3390/s21155016] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Flury D, Massé F, Paraschiv-Ionescu A, Aminian K, Luft AR, Gonzenbach R. Clinical value of assessing motor performance in postacute stroke patients. J Neuroeng Rehabil 2021;18:102. [PMID: 34167546 DOI: 10.1186/s12984-021-00898-0] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
16 Knezić Ž, Penava Ž, Penava DŠ, Rogale D. The Impact of Elongation on Change in Electrical Resistance of Electrically Conductive Yarns Woven into Fabric. Materials (Basel) 2021;14:3390. [PMID: 34207430 DOI: 10.3390/ma14123390] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
17 Ramadhin SPK, Anand S, Aishwarya R, R Y. Smart Drainage and Health Monitoring System of Manual Scavenger using IoT. 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) 2021. [DOI: 10.1109/iciccs51141.2021.9432211] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Iliadis A, Tomovic M, Dervas D, Psymarnou M, Christoulas K, Kouidi EJ, Deligiannis AP. A Novel mHealth Monitoring System during Cycling in Elite Athletes. Int J Environ Res Public Health 2021;18:4788. [PMID: 33946166 DOI: 10.3390/ijerph18094788] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
19 Laksono PW, Kitamura T, Muguro J, Matsushita K, Sasaki M, Amri bin Suhaimi MS. Minimum Mapping from EMG Signals at Human Elbow and Shoulder Movements into Two DoF Upper-Limb Robot with Machine Learning. Machines 2021;9:56. [DOI: 10.3390/machines9030056] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
20 Chanchotisatien P, Ungkhara T, Anuraklekha W, Laitrakun S. An IoT-Based Controlled Ankle Motion Boot for Foot and Ankle Monitoring During the Recovery Phase. 2021 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunication Engineering 2021. [DOI: 10.1109/ectidamtncon51128.2021.9425695] [Reference Citation Analysis]
21 George UZ, Moon KS, Lee SQ. Extraction and Analysis of Respiratory Motion Using a Comprehensive Wearable Health Monitoring System. Sensors (Basel) 2021;21:1393. [PMID: 33671202 DOI: 10.3390/s21041393] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
22 Morales AS, Ourique FDO, Cazella SC. A Comprehensive Review on the Challenges for Intelligent Systems Related with Internet of Things for Medical Decision. Enhanced Telemedicine and e-Health 2021. [DOI: 10.1007/978-3-030-70111-6_11] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
23 Romero Avila E, Junker E, Disselhorst-Klug C. Introduction of a sEMG Sensor System for Autonomous Use by Inexperienced Users. Sensors (Basel) 2020;20:E7348. [PMID: 33371409 DOI: 10.3390/s20247348] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
24 Kintzios S. Bioelectric Sensors: On the Road for the 4.0 Diagnostics and Biomedtech Revolution. Biosensors (Basel) 2020;10:E96. [PMID: 32796701 DOI: 10.3390/bios10080096] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]