标题：The Sleep EEG Partition by Stages Based on Complexity Measure
作者：Yu, Lanlan; Meng, Tianxing
作者机构：[Yu, Lanlan; Meng, Tianxing] Shandong Univ Technol, Sch Elect & Elect Engn, Zibo 255049, Peoples R China.
会议名称：International Conference on Applied Mechnics and Mechanical Engineering
会议日期：SEP 08-09, 2010
来源：APPLIED MECHANICS AND MECHANICAL ENGINEERING, PTS 1-3
关键词：sleep EEG; complexity measure; sleep stages
摘要：Sleep is the important phenomenon in human's life. About third time of human is spent on sleeping in which many important physical course happen and develop so that the research of sleep EEG gets more and more regards. The beginning of sleep research often starts from right partition by stages. Different sleep stages correspond with different brain states so that the sleep partition by stages has important meaning for the research of the sleep EEG. In this paper, a method is given for sleep segmentation using Lempel-Ziv complexity. From the result of the simulation, it can be drawn that the complexity measure can helpful distinguish the sleep stages so it plays an active role to find a reliable guideline for the automatic partition of sleep stages in sleeping periods in time.