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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Bibliographic Details

Published in:	2021 IEEE Biomedical Circuits and Systems Conference (BioCAS) pp. 01 - 04
Main Authors:	Ingolfsson, Thorir Mar, Cossettini, Andrea, Wang, Xiaying, Tabanelli, Enrico, Tagliavini, Giuseppe, Ryvlin, Philippe, Benini, Luca, Benatti, Simone
Format:	Conference Proceeding
Language:	English
Published:	IEEE 07.10.2021
Subjects:	deep learning Electroencephalography Epilepsy healthcare Inference algorithms machine learning Prediction algorithms Sensitivity smart edge computing Support vector machines time series classification Wearable computers
Online Access:	Get full text
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