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

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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Bibliographic Details
Main Authors: Chun-Jung Lin, Cheng-Jian Lin, Xue-Qian Lin
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Applied Sciences
Subjects:
sleep stage classification
deep learning network
fuzzy neural network (FNN)
Taguchi method
electroencephalography
Online Access:https://www.mdpi.com/2076-3417/13/18/10442

Internet

https://www.mdpi.com/2076-3417/13/18/10442

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