Complexity Analysis of sleep EEG signal

摘要：

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.

作者: Li Ling Wang Ruiping

作者单位: dept.of biomedical engineering Beijing Jiaotong University Beijing, china 100044

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-3

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）