Epileptic Seizure Detection on an Ultra-Low-Power Embedded RISC-V Processor Using a Convolutional Neural Network

Epileptic Seizure Detection on an Ultra-Low-Power Embedded RISC-V Processor Using a Convolutional Neural Network

The treatment of refractory epilepsy via closed-loop implantable devices that act on seizures either by drug release or electrostimulation is a highly attractive option. For such implantable medical devices, efficient and low energy consumption, small size, and efficient processing architectures are...

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Bibliographic Details
Main Authors: Andreas Bahr, Matthias Schneider, Maria Avitha Francis, Hendrik M. Lehmann, Igor Barg, Anna-Sophia Buschhoff, Peer Wulff, Thomas Strunskus, Franz Faupel
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Biosensors
Subjects:
convolutional neural network
EEG
epileptic seizure detection
RISC-V
ultra-low-power
Online Access:https://www.mdpi.com/2079-6374/11/7/203

Internet

https://www.mdpi.com/2079-6374/11/7/203

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