A Comparison of Energy-Efficient Seizure Detectors for Implantable Neurostimulation Devices

A Comparison of Energy-Efficient Seizure Detectors for Implantable Neurostimulation Devices

IntroductionAbout 30% of epilepsy patients are resistant to treatment with antiepileptic drugs, and only a minority of these are surgical candidates. A recent therapeutic approach is the application of electrical stimulation in the early phases of a seizure to interrupt its spread across the brain....

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Bibliographic Details
Main Authors: Farrokh Manzouri, Marc Zöllin, Simon Schillinger, Matthias Dümpelmann, Ralf Mikut, Peter Woias, Laura Maria Comella, Andreas Schulze-Bonhage
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Neurology
Subjects:
seizure detection
responsive neurostimulation
low-power hardware implementation
random forest
recurrent neural network
convolutional neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.703797/full

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https://www.frontiersin.org/articles/10.3389/fneur.2021.703797/full

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