Classification of Electroencephalography Signals with Auditory Stimuli using Complex Network

Electroencephalography signals serve as valuable tools for studying the human brain activity and detecting various neurological disorders. This study proposes a novel approach to analyze electroencephalography signals in response to auditory stimuli and language variations utilizing Visibility Graph...

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Vydané v:	International Conference on Communications and Electronics (Online) s. 567 - 572
Hlavní autori:	Hoang, Thang Manh, Vu, Dinh-Duc, Hoang, Manh-Hai
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 31.07.2024
Predmet:	Accuracy auditory stimuli Brain complex network Complex networks EEG Electroencephalography Feature extraction Nearest neighbor methods Support vector machines visibility graph
ISSN:	2836-4392
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