Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices

We present the implementation of seizure detection algorithms based on a minimal number of EEG channels on a parallel ultra-low-power embedded platform. The analyses are based on the CHB-MIT dataset, and include explorations of different classification approaches (Support Vector Machines, Random For...

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Veröffentlicht in:	2021 IEEE Biomedical Circuits and Systems Conference (BioCAS) S. 01 - 04
Hauptverfasser:	Ingolfsson, Thorir Mar, Cossettini, Andrea, Wang, Xiaying, Tabanelli, Enrico, Tagliavini, Giuseppe, Ryvlin, Philippe, Benini, Luca, Benatti, Simone
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 07.10.2021
Schlagworte:	deep learning Electroencephalography Epilepsy healthcare Inference algorithms machine learning Prediction algorithms Sensitivity smart edge computing Support vector machines time series classification Wearable computers
Online-Zugang:	Volltext
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