Multiscale entropy based analysis of HRV during sleep

The potential application of multiscale entropy (MSE) to analyze the heart rate variability (HRV) during different sleep stages, i.e. wake/Rapid Eye Movement (REM) /light sleep/deep sleep, was investigated. The RR sequences of 5 min from four sleep stages were analyzed by the measurements of MSE und...

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Bibliographic Details
Published in2012 5th International Conference on Biomedical Engineering and Informatics pp. 558 - 562
Main Authors Meng Xiao, Hong Yan, Xianglin Yang, Yanjun Li, Ruiyun Zhu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
heart rate variability (HRV)
multiscale entropy(MSE)
sleep
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Summary:The potential application of multiscale entropy (MSE) to analyze the heart rate variability (HRV) during different sleep stages, i.e. wake/Rapid Eye Movement (REM) /light sleep/deep sleep, was investigated. The RR sequences of 5 min from four sleep stages were analyzed by the measurements of MSE under three scales (MSE1, MSE2 and MSE3). The results demonstrated that the complexity of heart rate (HR) in non-REM(NREM) is significantly higher (p<;0.01) than that in wake and REM, and the complexity becomes higher with sleep deepening (p<;0.01). MSE3 corresponding to r=0.25*STD reveal the most powerful entropy measurement for classifying different sleep stages.
ISBN:9781467311830
1467311839
DOI:10.1109/BMEI.2012.6512919