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...

Celý popis

Podrobná bibliografia

Vydané v:	2021 IEEE Biomedical Circuits and Systems Conference (BioCAS) s. 01 - 04
Hlavní autori:	Ingolfsson, Thorir Mar, Cossettini, Andrea, Wang, Xiaying, Tabanelli, Enrico, Tagliavini, Giuseppe, Ryvlin, Philippe, Benini, Luca, Benatti, Simone
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 07.10.2021
Predmet:	deep learning Electroencephalography Epilepsy healthcare Inference algorithms machine learning Prediction algorithms Sensitivity smart edge computing Support vector machines time series classification Wearable computers
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!