Predicting Fall Risk in Stroke Patients Using a Machine Learning Model and Multi-Sensor Data (NCT06380049) | Clinical Trial Compass
RecruitingNot Applicable
Predicting Fall Risk in Stroke Patients Using a Machine Learning Model and Multi-Sensor Data
South Korea90 participantsStarted 2024-05-20
Plain-language summary
The study assesses a machine learning model developed to predict fall risk among stroke patients using multi-sensor signals. This prospective, multicenter, open-label, sponsor-initiated confirmatory trial aims to validate the safety and efficacy of the model which utilizes electromyography (EMG) signals to categorize patients into high-risk or low-risk fall categories. The innovative approach hopes to offer a predictive tool that enhances preventative strategies in clinical settings, potentially reducing fall-related injuries in stroke survivors.
Who can participate
Age range
19 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Stroke Participants
Inclusion Criteria:
* 19 years and older
* the onset of the stroke is less than 3months ago
* Lower extremity weakness due to stroke (MMT =\< 4 grade)
* Cognitive ability to follow commands
Exclusion Criteria:
* stroke recurrence
* other neurological abnormalities (e.g. parkinson's disease).
* severely impaired cognition
* serious and complex medical conditions(e.g. active cancer)
* cardiac pacemaker or other implanted electronic system
Health Participants
Inclusion Criteria:
* 19 years and older
* Individuals who fully understand the necessity of the study and have voluntarily consented to participate as subjects
Exclusion Criteria:
* other neurological abnormalities (e.g. parkinson's disease).
* severely impaired cognition
* serious and complex medical conditions(e.g. active cancer)
* cardiac pacemaker or other implanted electronic system
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.