Using AI-Guided Home Rehabilitation to Improve Posture and Mobility in Parkinsons Disease Patients with Trunk Disorders

What this Trial Is About

Postural abnormalities such as Pisa Syndrome PS and camptocormia cause significant disability in people with Parkinsons disease PD, affecting their posture, mobility, and quality of life. PS involves a lateral trunk flexion often greater than 10 degrees, with features like axial rotation and poor awareness of posture, while camptocormia is characterized by an anterior forward flexion of the trunk. Current treatments including medication, physiotherapy, botulinum toxin, and brain stimulation offer limited and short-lasting benefits, creating a need for innovative rehabilitation approaches. This study evaluates the use of an AI-powered real-time visual feedback system called the Kemtai platform as a home-based rehabilitation tool after inpatient neurorehabilitation for PD patients with postural disorders. The intervention provides personalized exercise routines with real-time corrective feedback through video analysis, aiming to support continued improvement in posture and mobility. Participants first complete 4 to 8 weeks of hospital-based neurorehabilitation, then use the AI system at home to maintain and enhance their gains. Participants will be assessed at baseline, after 6 to 8 weeks of AI-based home rehabilitation, and again after 4 weeks to measure posture, mobility, and quality of life using clinical tests and motion analysis. User satisfaction, system usability, and safety will also be evaluated. The study seeks to provide evidence on the feasibility and potential benefits of AI-driven home rehabilitation to promote long-term functional improvements and greater independence in people with PD.

Integrating AI in Postural Rehabilitation for Parkinson's Disease