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Recruiting NCT06380049

NCT06380049 Predicting Fall Risk in Stroke Patients Using a Machine Learning Model and Multi-Sensor Data

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Clinical Trial Summary
NCT ID NCT06380049
Status Recruiting
Phase
Sponsor Seoul National University Hospital
Condition Stroke
Study Type OBSERVATIONAL
Enrollment 90 participants
Start Date 2024-05-20
Primary Completion 2025-03-12

Eligibility & Interventions

Sex All sexes
Min Age 19 Years
Max Age N/A
Study Type OBSERVATIONAL
All Conditions
Interventions
EMG Analysis Software

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 90 participants in total. It began in 2024-05-20 with a primary completion date of 2025-03-12.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief 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.

Eligibility Criteria

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

Contact & Investigator

Central Contact

JungHyun Kim, prof

✉ kiking0@naver.com

📞 82+1088632341

Principal Investigator

Woo Hyung Lee, prof

PRINCIPAL INVESTIGATOR

Seoul National University Hospital

Frequently Asked Questions

Who can join the NCT06380049 clinical trial?

This trial is open to participants of all sexes, aged 19 Years or older, studying Stroke. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT06380049 currently recruiting?

Yes, NCT06380049 is actively recruiting participants. Contact the research team at kiking0@naver.com for enrollment information.

Where is the NCT06380049 trial being conducted?

This trial is being conducted at Seoul, South Korea.

Who is sponsoring the NCT06380049 clinical trial?

NCT06380049 is sponsored by Seoul National University Hospital. The principal investigator is Woo Hyung Lee, prof at Seoul National University Hospital. The trial plans to enroll 90 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology