Accessible Remote Rehabilitation System for Real-Time Biomechanical Monitoring

NCT07492797 | Not Yet Recruiting

• 2 other identifiers: MSU-UMMC-TELE-REHAB-001U54GM115428
• Study Type: interventional
• Target: 40
• Locations: 1 country
• Sites: 2

Brief Summary

This study evaluates a novel camera-based system designed to support remote rehabilitation by measuring hand and upper-limb biomechanics in real time. Many patients recovering from musculoskeletal or neurological conditions require frequent monitoring during rehabilitation, but regular clinic visits may be difficult due to distance, cost, or limited access to specialized care. Current telehealth approaches typically rely on qualitative assessments or self-reported feedback rather than objective biomechanical measurements. The purpose of this study is to determine whether a computer vision-based system can accurately estimate biomechanical parameters such as joint angles, range of motion, muscle force, and joint torque using only a standard camera. The system analyzes hand movement using artificial intelligence and biomechanical modeling to provide real-time measurements during rehabilitation exercises. Participants will perform guided hand-movement tasks while the system records video and extracts anatomical landmarks. These data will be used to compute biomechanical parameters and assess whether the system can reliably monitor rehabilitation progress remotely. The results will help determine whether this technology can provide clinicians with objective, continuous data to support personalized rehabilitation and improve patient outcomes.

Conditions

Postoperative Rehabilitation; Hand Injury Rehabilitation

Keywords

Tele-rehabilitation; Computer Vision; Biomechanics; Hand Motion Analysis

Outcome Measures

Primary Outcomes (2)

• Accuracy of Camera-Based Joint Torque Estimation

  Accuracy of the AI-based camera system in estimating joint torque during rehabilitation exercises compared with gold-standard dynamometer measurements. Accuracy will be evaluated using mean absolute percentage error (MAPE) between estimated torque values and reference dynamometer readings.

  Baseline assessment session

• Correlation Between Camera-Based and Clinical Biomechanical Measurements

  Agreement between biomechanical parameters estimated by the camera-based system and reference clinical measurements. Pearson correlation coefficients and Bland-Altman analysis will be used to evaluate agreement between estimated joint torque and gold-standard measurements.

  Baseline assessment session

Secondary Outcomes (4)

• Grip Strength Improvement

  Baseline, 3 weeks, and 6 weeks

• Range of Motion Improvement

  Baseline, 3 weeks, and 6 weeks

• Functional Recovery Time

  Up to 6 weeks

• Patient Adherence to Rehabilitation Exercises

  Up to 6 weeks

Study Arms (2)

Camera-Based Biomechanical Monitoring (Intervention)

EXPERIMENTAL

Participants perform standardized hand/upper-limb rehabilitation exercises while an AI-based camera system estimates joint torque, muscle force, and range of motion in real time. Clinicians may use the biomechanical feedback to guide rehabilitation adjustments over the 6-week study period.

Device: AI-Based Camera Tele-Rehabilitation Monitoring System

Standard Telehealth Rehabilitation (Control)

ACTIVE COMPARATOR

Participants receive standard telehealth rehabilitation with periodic/weekly check-ins and usual care guidance. No real-time camera-based biomechanical monitoring feedback is provided.

Behavioral: Standard Telehealth Rehabilitation

Interventions

AI-Based Camera Tele-Rehabilitation Monitoring System DEVICE

A single-camera, computer vision and inverse-dynamics modeling system that estimates biomechanical parameters (joint torque, muscle force, and range of motion) from video-based hand landmark tracking during rehabilitation exercises.

Camera-Based Biomechanical Monitoring (Intervention)

Standard Telehealth Rehabilitation BEHAVIORAL

Participants perform standard rehabilitation exercises and receive routine telehealth follow-up with clinicians according to usual care practices. No camera-based biomechanical monitoring system is used during the rehabilitation process.

Standard Telehealth Rehabilitation (Control)

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Adults aged 18 years or older.
• Individuals undergoing or recovering from upper-limb or hand rehabilitation following musculoskeletal or neurological injury or surgery.
• Ability to perform basic hand or upper-limb movement tasks required for the rehabilitation exercises.
• Ability to understand study instructions and provide informed consent.

You may not qualify if:

• Severe cognitive impairment preventing understanding of study procedures.
• Medical conditions that prevent safe participation in hand or upper-limb rehabilitation exercises.
• Severe visual impairment preventing interaction with the camera-based monitoring system.
• Participation in another interventional study that could affect rehabilitation outcomes.

Sponsors & Collaborators

• Mississippi State University: lead
• University of Mississippi Medical Center: collaborator

Study Sites (2)

University of Mississippi Medical Center

Jackson, Mississippi, 39216, United States

Location

Mississippi State University

Starkville, Mississippi, 39759, United States

Location

Central Study Contacts

Soroush Korivand, PhD

CONTACT

662-325-9154; skorivand@me.msstate.edu

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: TREATMENT
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Model Details: Participants will be randomly assigned to one of two parallel groups. The intervention group will receive daily biomechanical monitoring using a camera-based tele-rehabilitation system that estimates joint torque, muscle force, and range of motion during rehabilitation exercises. Clinicians may use these data to adjust therapy recommendations. The control group will receive standard telehealth rehabilitation with periodic check-ins but without real-time biomechanical monitoring. Outcomes will be compared over a six-week rehabilitation period.

Study Record Dates

• First Submitted: March 5, 2026
• First Posted: March 25, 2026
• Study Start: June 1, 2026
• Primary Completion (Estimated): March 14, 2027
• Study Completion (Estimated): March 14, 2027
• Last Updated: May 19, 2026

Record last verified: 2026-05

Locations

US (2)