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By bringing together the fields of seizure detection and that of Sudden Unexpected Death in Epilepsy (SUDEP), the current project aims at delineating which set of biosensors and related biomarkers would optimally characterize the severity of GTCS and the associated risk of SUDEP.
The main objective is to to evaluate which of the five biosignals considered, being, electrodermal activity (EDA), heart rate (HR), accelerometry (AC), arm-measurement of skin electromyography (EMG), and bed sensing of body movement (BM), or any of their combinations, offers the most accurate detection and quantification of our primary indicator of GTCS-severity, i.e. postictal EEG suppression (PGES).
Age
12 - No limit years
Sex
ALL
Healthy Volunteers
No
NeuroDigital@NeuroTech
Lausanne, Switzerland
Start Date
June 12, 2019
Primary Completion Date
December 31, 2023
Completion Date
December 31, 2024
Last Updated
February 18, 2025
400
ACTUAL participants
Lead Sponsor
Centre Hospitalier Universitaire Vaudois
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