Classification of sleep apnea based on EEG sub-band signal characteristics

Classification of sleep apnea based on EEG sub-band signal characteristics

Abstract Sleep apnea syndrome (SAS) is a disorder in which respiratory airflow frequently stops during sleep. Alterations in electroencephalogram (EEG) signal are one of the physiological changes that occur during apnea, and can be used to diagnose and monitor sleep apnea events. Herein, we proposed...

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Autores principales: Xiaoyun Zhao, Xiaohong Wang, Tianshun Yang, Siyu Ji, Huiquan Wang, Jinhai Wang, Yao Wang, Qi Wu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/5150c1a3c0114271a2be02037537845d
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