Automatic Sleep Stage Classification Using a Taguchi-Based Multiscale Convolutional Compensatory Fuzzy Neural Network

Current methods for sleep stage detection rely on sensors to collect physiological data. These methods are inaccurate and take up considerable medical resources. Thus, in this study, we propose a Taguchi-based multiscale convolutional compensatory fuzzy neural network (T-MCCFNN) model to automatical...

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Detalles Bibliográficos

Autores principales:	Chun-Jung Lin, Cheng-Jian Lin, Xue-Qian Lin
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2023-09-01
Colección:	Applied Sciences
Materias:	sleep stage classification deep learning network fuzzy neural network (FNN) Taguchi method electroencephalography
Acceso en línea:	https://www.mdpi.com/2076-3417/13/18/10442
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