AI predicts best stroke rehab for each patient
NCT ID NCT06828679
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study aims to create an AI system that predicts which type of rehabilitation—like standard therapy, electrical stimulation, robotic training, or acupuncture—will help each stroke survivor recover the most movement in their arm. Researchers will collect data from 400 stroke survivors aged 65-80 who had a stroke 1-6 months ago and have moderate to severe arm weakness. The goal is to personalize rehab plans to improve recovery and reduce the huge social and economic burden of stroke care.
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Study facts
What this study's own registry entry says, in plain language.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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About 400 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Jul 2025
- Expected to finish
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Jun 2028
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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65 to 80 years
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
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).
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Genom att skicka in godkänner du våra Användarvillkor
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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The Chinese University of Hong Kong
RECRUITINGHong Kong, Sha Tin, 852, Hong Kong
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Other studies related to the condition(s) this trial covers.
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- Cancer patients face a hidden Second-Stroke threat, and 24 hospitals are mapping it