Personalized Rehabilitation Pathways to Maximal Motor Functional Return Through an AI Recovery Prediction System for Diverse Stroke Survivors

Status: Recruiting
Location: See location...
Intervention Type: Other, Device
Study Type: Interventional
Study Phase: Not Applicable
SUMMARY

This project addresses the imminent challenge of providing adequate motor rehabilitation to a growing number of stroke survivors amidst the ageing population, decreasing age of stroke, and shortage of physical/occupational therapists in Hong Kong through AI and precision rehabilitation. To reduce the socioeconomic burden from the stroke survivors' loss of independence and their care (\>HK$15 billion/year), the efficacy of rehabilitation and efficiency of its delivery must be improved. These goals can be achieved by prescribing them with individually tailored rehabilitations predicted to yield maximal functional return. Defining a predictive model for such personalization remains challenging given the immense heterogeneity of stroke. The investigators aim to build an explainable AI system that predicts a subject's recovery potential and the treatment option that may realize this potential based on multi-modal pre-rehab assessments. Data from clinical, neuroimaging, neurophysiological, and multi-omic evaluations will be collected from stroke survivors (N≥400) before they undergo upper limb rehab with usual care, neuromuscular stimulation, robotic training, or acupuncture. Machine learning-extracted data features will be used to train decision-tree and neural-network AI algorithms for robust predictions. As soon as the model is validated, the investigators will deploy it to implement a personalized rehab program in the community. Our model's ability to predict the optimal intervention from a wide spectrum of input modalities distinguishes ours from previous less-than-accurate models. Our interdisciplinary team of 13 PIs with expertise in neurology, PT/OT, acupuncture, electrical/biomed. engineering, robotics, neuroscience, neuroimaging, multi-omics, data science, and clinical trial management will put us in a world-unique position to execute this project successfully and generate opportunities of interdisciplinary education. In the long run, our prediction system will accelerate marketization of new rehab strategies by facilitating their clinical-trial evaluations in more targeted subjects, thereby leading Hong Kong to be a future global hub of innovative rehabilitation.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 65
Maximum Age: 80
Healthy Volunteers: f
View:

• 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

Locations
Other Locations
Hong Kong Special Administrative Region
The Chinese University of Hong Kong
RECRUITING
Hong Kong
Contact Information
Primary
Yat Sing Kelvin Lau, MSc
yatsingkelvinlau@cuhk.edu.hk
85296363365
Time Frame
Start Date: 2025-07-01
Estimated Completion Date: 2028-06-30
Participants
Target number of participants: 400
Treatments
Active_comparator: Rehabilitation Control Group
Subacute stroke survivors in this group, patients will receive usual rehab care only.
Active_comparator: Acupuncture Group
Subacute stroke survivors in this group, patients will receive usual rehab care plus acupuncture
Active_comparator: Robotic Training Group
Subacute stroke survivors in this group, patients will receive usual rehab care plus robotic training
Active_comparator: NMES Group
Subacute stroke survivors in this group, patients will receive usual rehab care plus Neuromuscular Electrical Stimulation (NMES)
Related Therapeutic Areas
Sponsors
Collaborators: The University of Western Australia, City University of Hong Kong, Hong Kong Baptist University, The Hong Kong Polytechnic University
Leads: Chinese University of Hong Kong

This content was sourced from clinicaltrials.gov

Similar Clinical Trials