Predicting fall risk in stroke patients using muscle signals and machine learning
Tests a computer model using muscle signals to flag stroke patients at high fall risk.
Plain-language title generated from the registry record
Registry title: Predicting Fall Risk in Stroke Patients Using a Machine Learning Model and Multi-Sensor Data
Key facts
- Where
- Seoul, South KoreaSee the site
Where in South Korea
- Seoul National University HospitalSeoul, South KoreaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Seoul National University Hospital
- Trial code
- NCT06380049
- Record updated
- 2 June 2025
- Original description
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.Read full original descriptionShow less
Development and Validation of a Machine Learning-based Model to Predict a High-risk Group for Falls Using Multi-sensor Signals in Stroke Patients
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.
Inclusion: 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; 19 years and older; Individuals who fully understand the necessity of the study and have voluntarily consented to participate as subjects.
Exclusion: stroke recurrence; other neurological abnormalities (e.g. parkinson's disease); serious and complex medical conditions(e.g. active cancer); cardiac pacemaker or other implanted electronic system; Health Participants; other neurological abnormalities (e.g. parkinson's disease); serious and complex medical conditions(e.g. active cancer); cardiac pacemaker or other implanted electronic system; severely impaired cognition; severely impaired cognition.
Stroke Participants.