@inproceedings{150949835c224befaf82121b7aae5de4,
title = "A study of sleep stages threshold based on multiscale fuzzy entropy",
abstract = "The classification of sleep stages based on EEG signals has become a prerequisite for monitoring sleep quality and diagnosing sleep-related diseases. Many researchers have conducted related research work. But, they often overlook the effect of the extracted characteristics on actual sleep staging results and the interpretation in psychology and clinical medicine. Therefore, this study calculates the value of multiscale fuzzy entropy as evaluation criteria and measures the threshold range of sleep stage based on CEEMDAN algorithm and psychophysics method. The experimental results show that the proposed method can effectively distinguish between different sleep stages by using fuzzy entropy as a measure of sleep staging thresholds. In addition, we designed a set of comparative experiments based on the single-channel EEG sample data and studied the gender factor on sleep stages by comparing sleep entropy thresholds of different genders. It was found that the sleep threshold of female was significantly greater than male.",
keywords = "CEEMDAN, Multiscale fuzzy entropy, Sleep stages, Threshold",
author = "Xuexiao Shao and Bin Hu and Yalin Li and Xiangwei Zheng",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018 ; Conference date: 15-11-2018 Through 17-11-2018",
year = "2018",
doi = "10.1007/978-3-030-05057-3_19",
language = "English",
isbn = "9783030050566",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "239--248",
editor = "Jaideep Vaidya and Jin Li",
booktitle = "Algorithms and Architectures for Parallel Processing - 18th International Conference, ICA3PP 2018, Proceedings",
address = "Germany",
}