Complexity Analysis of Sleep EEG Signal

Author

Li Ling ; Wang Ruiping

Author_Institution

Dept. of Biomed. Eng., Beijing Jiaotong Univ., Beijing, China

fYear

2010

fDate

18-20 June 2010

Firstpage

1

Lastpage

3

Abstract

The complexity of the EEG time series during sleeping is investigated. The relationships between these sleep states and the complexities of the EEG are assessed. Lempel-Ziv complexity is used as a novel index for quantifying the complexity of the EEG time series during different sleep states. Experimental results show that the Lempel-Ziv (LZ)complexity of the EEG time series during active (REM, rapid eye movement) sleep tends to be higher than during quiet (NREM, non rapid eye movement) sleep, and the complexity during wake is higher than during sleep. The Lempel-Ziv complexity can effectively distinguish the sleep states of the brain.

Keywords

brain; computational complexity; electroencephalography; neurophysiology; sleep; EEG time series; Lempel-Ziv complexity; brain; rapid eye movement; sleep EEG signal; sleep states; wake; Binary sequences; Biomedical engineering; Biomedical measurements; Brain; Diseases; Electroencephalography; Humans; Signal analysis; Sleep; Time series analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on

Conference_Location

Chengdu

ISSN

2151-7614

Print_ISBN

978-1-4244-4712-1

Electronic_ISBN

2151-7614

Type

conf

DOI

10.1109/ICBBE.2010.5515699

Filename

5515699