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AI Based Telerehabilitation for Patellofemoral Pain Syndrome
Sponsor: University of Faisalabad
Summary
Patellofemoral pain syndrome (PFPS) is a common cause of anterior knee pain in young, active adults and is often aggravated by prolonged sitting, stair use, squatting, and running. Exercise-based physiotherapy is the standard first-line treatment, but access to regular in-person supervision can be limited. This study compares two ways of delivering the same evidence-based exercise programme for PFPS: AI-based telerehabilitation, delivered remotely through the Physitrack platform with AI-assisted movement screening (MediaPipe), and conventional face-to-face physiotherapy. The study aimed to determine whether AI-based telerehabilitation is as effective as, or more effective than, conventional physiotherapy in reducing pain and improving physical function, and to evaluate how usable participants found the telerehabilitation platform
Official title: Effectiveness and Useability of AI Based Telerehabilitation on Patellofemoral Pain Syndrome
Key Details
Gender
All
Age Range
18 Years - 40 Years
Study Type
INTERVENTIONAL
Enrollment
48
Start Date
2026-04-24
Completion Date
2026-08-07
Last Updated
2026-08-20
Healthy Volunteers
No
Interventions
AI Based Telerehabilitation
A structured PFPS exercise protocol delivered remotely through the Physitrack platform and PhysiApp, supported by an AI-enabled movement assistant for screening/feedback, video demonstrations, progress tracking, and secure messaging with the treating physiotherapist. 3 sessions/week for 4 weeks.
Conventional Physiotherapy
The identical PFPS exercise protocol delivered face-to-face by a certified physiotherapist in a clinical setting, with direct supervision, real-time correction of technique, and verbal feedback. 3 sessions/week for 4 weeks.
Locations (1)
University of Faisalabad
Faisalabad, Punjab Province, Pakistan