A Comparison of Machine Learning Classifiers for Energy-Efficient Implementation of Seizure Detection

A Comparison of Machine Learning Classifiers for Energy-Efficient Implementation of Seizure Detection

The closed-loop application of electrical stimulation via chronically implanted electrodes is a novel approach to stop seizures in patients with focal-onset epilepsy. To this end, an energy efficient seizure detector that can be implemented in an implantable device is of crucial importance. In this...

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Bibliographic Details
Main Authors: Farrokh Manzouri, Simon Heller, Matthias Dümpelmann, Peter Woias, Andreas Schulze-Bonhage
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-09-01
Series:Frontiers in Systems Neuroscience
Subjects:
intracranial EEG
closed-loop intervention
seizure detection
epilepsy
machine learning
low power microcontroller implementation
Online Access:https://www.frontiersin.org/article/10.3389/fnsys.2018.00043/full

Internet

https://www.frontiersin.org/article/10.3389/fnsys.2018.00043/full

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