Effects of a Machine Learning-based Lower Limb Exercise Training System for Knee Pain

Pain Clinical Trial

Official title: Effects of a Machine Learning-based Lower Limb Exercise Training System for Older Adults With Knee Pain: A Proof-of-concept Randomized Controlled Trial

Status Not yet recruiting

Clinical Trial Summary

The study will be a 12-week randomized controlled trial that aims to examine the effects of a machine learning-based lower limb exercise training system for older adults with knee pain. Participants will be randomly allocated to either the machine learning-based lower limb exercise training system group (intervention arm), video-based exercise training system group (intervention arm), or usual care group (control arm). Data will be collected at baseline, and at 4, 8, and 12 weeks after randomization.

Clinical Trial Description

Knee pain, often caused by osteoarthritis, is a prevalent musculoskeletal disorder among older adults and significantly reduces physical function and quality of life. Exercise therapy has been shown to be an effective form of treatment for knee pain. However, the traditional delivery of exercise therapy requires that individuals attend clinics to participate in face-to-face exercise sessions, which can be expensive and inconvenient. In recent years, information technologies have been used to support the delivery of exercise programs. The programs have also shown great benefits in improving the management of knee pain. However, it remains a concern that physical therapists are not able to provide the patients with direct and immediate supervision when exercises are taken place remotely at home or in community centers, which can be detrimental to exercise performance and the management of knee pain.

Thus, the research team has developed a machine learning-based exercise training system to provide evidence-based lower limb exercise videos, real-time movement feedback, and tracking of exercise progress for older adults with knee pain. In this study, a proof-of-concept randomized controlled trial will be conducted to examine the effects of the machine learning-based exercise training system, comparing with the effects of video-based exercise training system (providing exercise videos alone but no real-time movement feedback or tracking of exercise progress) and effects of usual care. ;

Related Conditions & MeSH terms

• Pain

• NCT number: NCT05173064
• Study type: Interventional
• Source: The University of Hong Kong
• Contact: Calvin Kalun Or, PhD
• Phone: (852) 3917-2587
• Email: klor@hku.hk
• Status: Not yet recruiting
• Phase: N/A
• Start date: November 1, 2022
• Completion date: June 30, 2023