Pattern Recognition in Epileptic EEG Signals via Dynamic Mode Decomposition

Pattern Recognition in Epileptic EEG Signals via Dynamic Mode Decomposition

In this paper, we propose a new method based on the dynamic mode decomposition (DMD) to find a distinctive contrast between the ictal and interictal patterns in epileptic electroencephalography (EEG) data. The features extracted from the method of DMD clearly capture the phase transition of a specif...

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Bibliographic Details
Main Authors: Jong-Hyeon Seo, Ichiro Tsuda, Young Ju Lee, Akio Ikeda, Masao Matsuhashi, Riki Matsumoto, Takayuki Kikuchi, Hunseok Kang
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Mathematics
Subjects:
epileptic seizure
dynamic mode decomposition
EEG
ECoG
pattern recognition
DC (direct current) shift
Online Access:https://www.mdpi.com/2227-7390/8/4/481

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https://www.mdpi.com/2227-7390/8/4/481

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