Efficient sleep classification based on entropy features and a support vector machine classifier

• Published in: Physiological measurement Vol. 39; no. 11; pp. 115005 - 115017
• Main Authors: Zhang, Zhimin, Wei, Shoushui, Zhu, Guohun, Liu, Feifei, Li, Yuwen, Dong, Xiaotong, Liu, Chengyu, Liu, Feng
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 26.11.2018
• Subjects: EEG; entropy; EOG; sleep stages classification; SVM
• ISSN: 0967-3334; 1361-6579; 1361-6579
• DOI: 10.1088/1361-6579/aae943

Objective: Sleep quality helps to reflect on the physical and mental condition, and efficient sleep stage scoring promises considerable advantages to health care. The aim of this study is to propose a simple and efficient sleep classification method based on entropy features and a support vector mac...