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Collective Almost Synchronization Modeling Used for Motor Imagery EEG Classification

2023-08-24

Abstract excerpt

Classification based on feature extraction is a crucial technique to develop Brain Computer Interface (BCI) systems. The human brain can be considered as a dynamical system, and its behavior measured by EEG signals can be modeled by a group of nonlinear oscillators. Exploring the dynamical nature of EEG signals along with model based approach may improve classification accuracy in BCI. This study proposes a novel...

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Literature Corpus work
366f2f17-009f-5981-abe0-c05585f58d36
DOI
10.1101/2023.08.23.554551
Open publication

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Collective Almost Synchronization Modeling Used for Motor Imagery EEG ClassificationDOI 10.1101/2023.08.23.554551
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