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

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


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.

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