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A study of sleep staging based on a sample entropy analysis of electroencephalogram

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 4th International Conference on Biomedical Engineering and Biotechnology, 18–21 August 2015, Shanghai, China

Guest editors: Feng Liu, Dong-Hoon Lee, Ricardo Lagoa and Sandeep Kumar

Article type: Research Article

Authors: Li, Hui | Peng, Cheng | Ye, Datian; *

Affiliations: Department of Biomedical Engineering, Graduate School at Shenzhen, Tsinghua University, Shenzhen, 518055, China

Correspondence: [*] Address for corresponding author: Datian Ye, Department of Biomedical Engineering, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China, 518055. Tel.: 13718525904; Fax: 0755-26036353; E-mail: [email protected].

Keywords: Electroencephalogram (EEG), sleep staging, sample entropy (SampEn), median, inter-quartile range (IQR)

DOI: 10.3233/BME-151411

Journal: Bio-Medical Materials and Engineering, vol. 26, no. s1, pp. S1149-S1156, 2015

Published: 2015
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In this paper we report a detection method for different sleep stages and it is based on a single-channel electroencephalogram (EEG) system. The system is simple and can be easily setup in homes to perform sleep EEG recording, overnight sleep EEG automatic staging, and sleep quality evaluation. EEG data of 14 sleeping subjects were recorded through the entire night. All subjects were within the age group of 20-30 years and having no significant sleep disorders. To analyze the EEG data, it is segmented into equal time intervals. This is followed by calculation of Sample Entropy (SampEn) for each section, and the SampEn’s statistical characteristics, such as the median, upper quartile, lower quartile and inter-quartile range. The sleep data were divided into training group (7 cases) and test group (7 cases). Sleep stages’ quantitative ranges of training group referring to ZEO results were extracted and the quantization range used to sleep staging EEG data. Both the training group and test group results were close to ZEO results. It suggested that the statistical characteristics of Sample Entropy could be used as a criterion for sleep staging and evaluation.

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