EF-Net: Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN

Analysis of brain signals is essential to the study of mental states and various neurological conditions. The two most prevalent noninvasive signals for measuring brain activities are electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS). EEG, characterized by its higher sam...

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Detalles Bibliográficos

Principais autores:	Aniqa Arif, Yihe Wang, Rui Yin, Xiang Zhang, Ahmed Helmy
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-03-01
Series:	Sensors
Assuntos:	deep learning multimodal EEG fNIRS brain activity learning
Acceso en liña:	https://www.mdpi.com/1424-8220/24/6/1889
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