Measuring Adherence to Home Shoulder Physiotherapy With Artificial Intelligence
NCT04629417 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 103
Last updated 2025-08-07
Summary
An important part of recovery for shoulder injuries, is sticking to the exercise regimen that is prescribed by a physiotherapist. Currently, there is no proper way to measure whether patients are correcting doing their prescribed exercises at home. Researchers at Sunnybrook have tested out a Smart Physiotherapy Recognition System (SPARS), which consists of a watch that patients can wear while they are performing their physiotherapy exercises. The watch aims to learn how the exercises are done correctly when worn during supervised physiotherapy sessions, and then to record and compare whether those same exercises are being done correctly in a home setting. The main objectives of this study aims to test whether the SPARS system can effectively measure whether physiotherapy exercises are being done properly when they are done without physiotherapist supervision. Secondly, to examine whether the recovery process after shoulder injuries is improved if patients perform the physiotherapy exercises correctly.
Conditions
- Rotator Cuff Pathology
Interventions
- DEVICE
-
Smart Physiotherapy Activity Recognition System (SPARS)
Wearable smart watch that records inertial data such as (accelerometer, gyroscope magnetometer) while patients are performing physiotherapy exercises.
Sponsors & Collaborators
-
Sunnybrook Health Sciences Centre
lead OTHER
Principal Investigators
-
Robin Richards · Sunnybrook Health Sciences Centre
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- TREATMENT
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-05-14
- Primary Completion
- 2024-02-16
- Completion
- 2024-02-16
Countries
- Canada
Study Locations
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