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

Non-randomized Protocols and Methods (ehealth) (567) Fitness Trackers and Smart Pedometers/Accelerometers (561) mHealth for Rehabilitation (263) Wearable Devices and Sensors (888) Technology in Physiotherapy (134)

Published on in Vol 9, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17841, first published .
Adherence Tracking With Smart Watches for Shoulder Physiotherapy in Rotator Cuff Pathology: Protocol for a Longitudinal Cohort Study

Adherence Tracking With Smart Watches for Shoulder Physiotherapy in Rotator Cuff Pathology: Protocol for a Longitudinal Cohort Study

Adherence Tracking With Smart Watches for Shoulder Physiotherapy in Rotator Cuff Pathology: Protocol for a Longitudinal Cohort Study

Authors of this article:

David Burns1, 2 Author Orcid Image ;   Helen Razmjou2, 3, 4 Author Orcid Image ;   James Shaw5, 6 Author Orcid Image ;   Robin Richards1, 2 Author Orcid Image ;   Stewart McLachlin7 Author Orcid Image ;   Michael Hardisty1, 2 Author Orcid Image ;   Patrick Henry1, 2 Author Orcid Image ;   Cari Whyne1, 2 Author Orcid Image
Article Authors Cited by (15) Tweetations (3) Metrics

Journals

  1. Kim M, Kim C, Kim E, Choi M. Effectiveness of Mobile Health–Based Exercise Interventions for Patients with Peripheral Artery Disease: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2021;9(2):e24080 View
  2. Burns D, Boyer P, Razmjou H, Richards R, Whyne C. Adherence Patterns and Dose Response of Physiotherapy for Rotator Cuff Pathology: Longitudinal Cohort Study. JMIR Rehabilitation and Assistive Technologies 2021;8(1):e21374 View
  3. Erras A, Shahrvini B, Weinreb R, Baxter S. Review of glaucoma medication adherence monitoring in the digital health era. British Journal of Ophthalmology 2023;107(2):153 View
  4. Robinson A, Slight R, Husband A, Slight S. Designing the Optimal Digital Health Intervention for Patients’ Use Before and After Elective Orthopedic Surgery: Qualitative Study. Journal of Medical Internet Research 2021;23(3):e25885 View
  5. Chandel R, Sharma S, Kaur S, Singh S, Kumar R. Smart watches: A review of evolution in bio-medical sector. Materials Today: Proceedings 2022;50:1053 View
  6. Arrowsmith C, Burns D, Mak T, Hardisty M, Whyne C. Physiotherapy Exercise Classification with Single-Camera Pose Detection and Machine Learning. Sensors 2022;23(1):363 View
  7. Agarwal A. Sensor based braces: Challenges ahead. Journal of Clinical Orthopaedics and Trauma 2022;25:101776 View
  8. Lopes M, Melo A, Cunha B, Sousa A. Smartphone-Based Video Analysis for Guiding Shoulder Therapeutic Exercises: Concurrent Validity for Movement Quality Control. Applied Sciences 2023;13(22):12282 View
  9. Garcia-Lopez E, Halvorson R, Shapiro L. Novel Tools to Approach and Measure Outcomes in Patients with Fractures. Hand Clinics 2023;39(4):627 View
  10. Zadeh S, MacDermid J, Johnson J, Birmingham T, Shafiee E. Applications of wearable sensors in upper extremity MSK conditions: a scoping review. Journal of NeuroEngineering and Rehabilitation 2023;20(1) View
  11. Nam H, Han S, Leigh J, Bang M. Smartwatch-based functional assessment for upper extremity impairment after musculoskeletal injuries: A pilot study. Hong Kong Journal of Occupational Therapy 2024;37(1):31 View
  12. Sassi M, Villa Corta M, Pisani M, Nicodemi G, Schena E, Pecchia L, Longo U. Advanced Home-Based Shoulder Rehabilitation: A Systematic Review of Remote Monitoring Devices and Their Therapeutic Efficacy. Sensors 2024;24(9):2936 View
  13. Moreira M, Vilhena E, Carvalho V, Duque D. A Virtual Reality Game-Based Approach for Shoulder Rehabilitation. Multimodal Technologies and Interaction 2024;8(10):86 View

Books/Policy Documents

  1. Lidströmer N, Davids J, Sood H, Ashrafian H. Artificial Intelligence in Medicine. View
  2. Lidströmer N, Davids J, Sood H, Ashrafian H. Artificial Intelligence in Medicine. View