Evaluating the sleep quality using multiscale entropy analysis

Chih En Kuo, Sheng Fu Liang, Yu Hsuan Shih, Fu Zen Shaw

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sleep diseases, such as insomnia and obstructive sleep apnea, seriously affect patients’ quality of life. For diagnosis, polysomnographic (PSG) recordings are most usually taken to evaluate the sleep quality and efficiency. However, the large amount of wires connections for conventional PSG often cause sleep interference and not self-applicable. In this study, a complexity-measure-based method for evaluating the sleep quality was proposed. We utilize multiscale entropy (MSE) to analyze the 32 all-night sleep polysomnographic (PSG) recordings from 32 adults. The range of the subjects’ sleep efficiency was from 56% to 97%. Half of the subjects’ sleep efficiencies were equal or higher than to 85% (good sleep) and the other half were lower than 85% (poor sleep). The result shows that the averaged MSE values of poor sleep efficiency group are higher than good sleep efficiency group in each scale factor. This means that the complexity of sleep EEG of poor sleep efficiency group is higher than good sleep efficiency group. This finding may be used to quickly distinguish the subject’ sleep efficiency is good or poor.

Original languageEnglish
Title of host publication1st Global Conference on Biomedical Engineering and 9th Asian-Pacific Conference on Medical and Biological Engineering
EditorsFong-Chin Su, Ming-Long Yeh, Shyh-Hau Wang
PublisherSpringer Verlag
Pages166-169
Number of pages4
ISBN (Electronic)9783319122618
Publication statusPublished - 2015 Jan 1
Event1st Global Conference on Biomedical Engineering, GCBME 2014 and 9th Asian-Pacific Conference on Medical and Biological Engineering, APCMBE 2014 - Tainan, Taiwan
Duration: 2014 Oct 92014 Oct 12

Publication series

NameIFMBE Proceedings
Volume47
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277

Other

Other1st Global Conference on Biomedical Engineering, GCBME 2014 and 9th Asian-Pacific Conference on Medical and Biological Engineering, APCMBE 2014
CountryTaiwan
CityTainan
Period14-10-0914-10-12

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Biomedical Engineering

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