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This paper is in the following e-collection/theme issue:

Wearables and MHealth Reviews (657) Ubiquitous Health (uHealth) (264) mHealth for Data Collection and Research (1664) mHealth in a Clinical Setting (1097) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2292) Wearable Devices and Sensors (1515) Portable and Mobile Technologies for Rehabilitation (274) Fitness Trackers and Smart Pedometers/Accelerometers (777)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76084, first published .
Person checking smart watch for fitness tracking and notifications

Advancements in Wearable Sensor Technologies for Health Monitoring in Terms of Clinical Applications, Rehabilitation, and Disease Risk Assessment: Systematic Review

Advancements in Wearable Sensor Technologies for Health Monitoring in Terms of Clinical Applications, Rehabilitation, and Disease Risk Assessment: Systematic Review

Authors of this article:

Bonsang Gu1 Author Orcid Image ;   Hyeon Su Kim1, 2 Author Orcid Image ;   HyunBin Kim2 Author Orcid Image ;   Jun-Il Yoo3 Author Orcid Image
Article Authors Cited by (12) Tweetations Metrics

Journals

  1. Mehmood S, Manzoor F, Ali Z. <b>Role of Wearable Devices in Monitoring Rehabilitation Outcomes in Physiotherapy Patients</b>. Healer Journal of Biomedical and Health Sciences 2026;2(1):1 View
  2. Bai T, Jiang K, Yu Y, Qie S, Wang C, Wang B, Zhang W. A Review of Research on the Applications of Large Models in Each Functional Module of the Entire Rehabilitation Process. Future Internet 2026;18(2):95 View
  3. Cejudo A, Arrojo M, Martín C, Almeida A. AI and Wearables for Early Detection of Cognitive Impairment and Dementia: Systematic Review. Journal of Medical Internet Research 2026;28:e86262 View
  4. Greco G, Petrelli A, Poli L, Fischetti F, Cataldi S. Machine Learning in Adapted Physical Activity: Clinical Applications, Monitoring, and Implementation Pathways for Personalized Exercise in Chronic Conditions: A Narrative Review. Journal of Functional Morphology and Kinesiology 2026;11(1):106 View
  5. Duan S, Wang Z, Chen X, Ni G. Digital Health Technology Use Among Rehabilitation Professionals in China: Multi-Province Cross-Sectional Survey. Journal of Medical Internet Research 2026;28:e90623 View
  6. Srivastava K, Srivastava R. Explainable deep learning approaches and clinical insights for cancer biomarker identification. Frontiers in Oncology 2026;16 View
  7. Mangalam M, Fabianiak J. The movement imperative: reimagining healthcare through the lens of human movement. Frontiers in Sports and Active Living 2026;8 View
  8. Mahraoui S, Serpelloni M. Wireless Instrumented Ankle Foot Orthosis (AFO) for Gait Cycle Monitoring. Instruments 2026;10(2):23 View
  9. Drugă C, Baniță M, Pantea I, Ciorășteanu R, Repanovici A. Single-Sensor Postural Stability Assessment: Validation and Applications. Applied Sciences 2026;16(10):5029 View
  10. Pană C, Maican C, Vrăjitoru N, Pătrașcu-Pană D, Rădulescu V. From Signals to Remaining Useful Life: Multimodal Sensor Fusion for Fault Diagnosis and Prognostics—Methods, Pitfalls, and Reporting Standards. Sensors 2026;26(12):3661 View
  11. Alonazi M, Abro I, Abdelhaq M, Alsaqour R, Jalal A, Liu H. Attention-Based Multimodal Framework for Athlete-Performance Analysis and Rehabilitation Monitoring Using Vision and Wearable Sensors. Bioengineering 2026;13(7):718 View
  12. Ortega-Robles E, Treviño M, Manjarrez E, Arias-Carrión O. Walking as a Window to the Brain: Redefining Gait in Neurology. Medical Sciences 2026;14(3):338 View