Single-channel EEG automatic sleep staging based on transition optimized HMM

Sleep staging is a key process for evaluating sleep quality and diagnosing somnipathy-related diseases. Psychologists are required to do the traditional sleep stages identification. The manual work by these experts is often time-consuming and error-prone. In order to improve the performance of such...

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Veröffentlicht in:	Multimedia tools and applications 2022-12, Vol.81 (30), p.43063-43081
Hauptverfasser:	Huang, Jing, Ren, Lifeng, Ji, Zhiwei, Yan, Ke
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial intelligence Classification Computer Communication Networks Computer Science Data Structures and Information Theory Deep learning Design optimization Discriminant analysis Electrocardiography Electroencephalography Eye movements Feature extraction Feature selection Machine learning Markov chains Methods Multimedia Multimedia Information Systems Neural networks Optimization Signal analysis Signal processing Sleep Special Purpose and Application-Based Systems Support vector machines Time series
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