AI wearables could predict Parkinson's falls at home
NCT ID NCT07580612
First seen May 17, 2026 · Last updated May 17, 2026
Summary
This study tests whether an artificial intelligence (AI) algorithm can accurately detect freezing of gait—a sudden inability to move while walking—in people with Parkinson's disease during everyday activities at home. Participants will wear small motion sensors while performing walking tasks, and the AI's detection will be compared to expert video analysis. The goal is to improve fall risk assessment and eventually enable real-time detection.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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Center for the study of movement, cognition and mobility
NOT_YET_RECRUITINGTel Aviv, 64, Israel
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Department of Rehabilitation Sciences
RECRUITINGLeuven, 3001, Belgium
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
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Sports Science and Neurorehabilitation
NOT_YET_RECRUITINGHamburg, 20457, Germany
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
Explore the condition pages connected to this study.