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NCT07731971

Digital Outcome Assessment Using AI Active Gaming and Motion Capture in Friedreich Ataxia

Sponsor: University of Exeter

View on ClinicalTrials.gov

Summary

Friedreich ataxia (FA) is a rare, inherited condition that progressively affects balance, coordination, and walking. Clinical trials of new FA treatments rely largely on standard clinical rating scales, but these can be tiring for patients, feel disconnected from everyday life, and may not detect small but meaningful changes over time. More objective, sensitive, and patient-relevant ways of measuring movement are needed. This study is developing and testing a new digital way of measuring movement in FA. Participants play short, movement-based computer games on a laptop while a single camera and artificial-intelligence (AI) software track how they move. The proposition is that the way a person plays these games - their speed, accuracy, and movement quality - can provide objective, meaningful measurements of motor function. In the laboratory, these game-based measurements are compared against a "gold-standard" full-body motion-capture system and against established clinical scales to check how accurate and meaningful they are. The study involves both people with Friedreich ataxia (across a range of disease severity) and healthy volunteers. People with FA also take part in a 12-week home phase, playing the games at home each month with remote support, so the researchers can examine whether the digital measurements are reliable when repeated and whether they can detect change over time. The study asks whether these digital, game-based movement measurements are reliable, valid, and sensitive enough to be used as a "fit-for-purpose" digital clinical outcome assessment (dCOA) in future FA clinical trials, and whether patients find the platform acceptable, usable, and relevant to daily life. This is an early-stage feasibility and validation study designed to establish proof of concept rather than to test the effectiveness of a treatment.

Official title: Fusion of Therapeutic AI Active Gaming With Motion Capture to Create a Novel Digital Clinical Outcome Assessment (dCOA) in Friedreich Ataxia

Key Details

Gender

All

Age Range

12 Years - 50 Years

Study Type

OBSERVATIONAL

Enrollment

40

Start Date

2026-07-30

Completion Date

2026-12-31

Last Updated

2026-07-28

Healthy Volunteers

Yes

Interventions

DEVICE

Laboratory validation session (VSimulator)

Single laboratory visit at the University of Exeter VSimulator in which VR active gaming tasks and single-camera AI-driven markerless motion analysis are performed concurrently with gold-standard marker-based full-body motion capture, functional near-infrared spectroscopy (fNIRS), and continuous heart-rate variability (Delsys ECG sensor). Performed once.

DEVICE

Home-based active gaming assessment

Monthly home-based sessions (Weeks 4, 8, 12) in which participants perform the VR active gaming tasks with concurrent single-camera AI-driven markerless motion analysis via a loaned laptop, with automated remote data capture. No marker-based motion capture, fNIRS, or ECG.

Locations (1)

University of Exeter

Exeter, United Kingdom