Using AI Systems to Optimize the Clinical Outcome of Stroke Patients

Launched by CHINESE UNIVERSITY OF HONG KONG · Feb 11, 2025

Keywords

ClinConnect Summary

This clinical trial is studying how artificial intelligence (AI) can improve rehabilitation for stroke patients. With the increasing number of people affected by strokes, especially in Hong Kong, the goal is to provide better, personalized rehabilitation options that can help patients regain their independence more effectively. By using advanced AI technology, researchers hope to predict which rehabilitation methods will work best for individual patients based on various assessments, including brain scans and muscle activity tests.

To participate in this trial, individuals must be aged 65 to 80 and have experienced a first-time stroke within the last 1 to 6 months, resulting in moderate to severe difficulty using one arm. They should be able to follow instructions and provide consent, and their muscle activity must meet certain criteria to ensure the rehabilitation techniques can be successful. Participants can expect to undergo an evaluation to determine their rehabilitation needs, and they will receive tailored treatment that may include usual care, stimulation exercises, robotic training, or acupuncture. This study aims not only to help current patients but also to pave the way for innovative rehabilitation strategies in the future.

Gender

ALL

Eligibility criteria

• IInclusion Criteria:
• • Age 65-80
• • 1-6 months after onset of a first-time unilateral stroke rostral to midbrain
• • Moderate-to-severe motor impairment of one upper limb (Fugl-Meyer Assessment for Upper Extremity of 10-50 out of 66);
• • Able to provide written informed consent;
• • Detectable electromyographic (EMG) activities in flexor digitorum-flexor carpi radialis and extensor digitorum-extensor carpi ulnaris muscle groups, with EMG from each muscle group exceeding 3 standard deviations above baseline mean. This last criterion is essential for successful NMES training
• Exclusion Criteria:
• • Unconscious or bed-bound;
• • Uncontrollable diabetes;
• • Anticipated non-adherence to treatment schedule;
• • On cardiac pacemaker;
• • Other severe comorbidities (heart/kidney failure, deranged liver function).