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Publication

Improvement of a convulsive seizure detector relying on accelerometer and electrodermal activity collected continuously by a wristband

Feb. 1, 2016

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F Onorati, G Regalia, C Caborni, Rosalind W. Picard

Abstract

A seizure detection system based on ACM and EDA features was developed using clinical data collected from a larger number of patients and seizures with respect to previous work, capturing greater subject variability of GTCS expression. The classifier we obtained allows a higher seizure detection rate while maintaining an acceptable false alarm rate. Furthermore, it is efficiently integrated into a wearable wristband to provide real-time alarms of ongoing seizures.

16.Picard.PAME.poster.pdf
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