LightSleepNet: Design of a Personalized Portable Sleep Staging System Based on Single-Channel EEG

This brief proposed LightSleepNet - a light-weight, 1-d Convolutional Neural Network (CNN) based personalized architecture for real-time sleep staging, which can be implemented on various mobile platforms with limited hardware resources. The proposed architecture only requires an input of 30s single...

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Vydané v:	IEEE transactions on circuits and systems. II, Express briefs Ročník 69; číslo 1; s. 224 - 228
Hlavní autori:	Liao, Yiqiao, Zhang, Chao, Zhang, Milin, Wang, Zhihua, Xie, Xiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Adaptive algorithms Artificial neural networks channel shuffle CNN Convolution Customization Electroencephalography Feature extraction Floating point arithmetic light-weight architecture Neurons Parameters personalized healthy equipment Real-time systems Redundancy Signal classification Sleep Sleep staging Training Weight reduction
ISSN:	1549-7747, 1558-3791
On-line prístup:	Získať plný text
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