The Sleep EEG Partition by Stages Based on Complexity Measure

Lan Lan Yu; Tian Xing Meng

doi:10.4028/www.scientific.net/AMM.29-32.2720

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 29-32The Sleep EEG Partition by Stages Based on...

The Sleep EEG Partition by Stages Based on Complexity Measure

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 29-32)

Pages:

2720-2725

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.29-32.2720

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Online since:

August 2010

Authors:

Lan Lan Yu, Tian Xing Meng

Keywords:

Complexity Measure, Sleep EEG, Sleep Stages

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