Automatic Sleep Stage Scoring Using Hilbert-Huang Transform with BP Neural Network

In this paper, a novel method based on Hilbert-Huang Transform (HHT) and backpropagation (BP) neural network is proposed to perform automatic sleep stages classification. Features extracted from 30-second epoch of EEG using HHT are good representations of EEG signal. A three-layer BP neural network...

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Bibliographische Detailangaben

Hauptverfasser:	Yuelei Liu, Lanfeng Yan, Bo Zeng, Wei Wang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Data mining Diseases Electroencephalography Feature extraction Hospitals Information science Low voltage Neural networks Sleep Time frequency analysis
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