Abstract

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Title:: Multiscale base-scale entropy analysis of heart rate variability signals in the young and the elderly

Author(s):: ZHAO Tingting1; DUAN Xiaoli1; YAN Bige2; 1. Department of Physics, Taiyuan Institute of Technology, Taiyuan 030008, China; 2. School of Physics and Information Technology, Shaanxi Normal University, Xi’an 710062, China

Keywords:: ; Keywords: multiscale; base-scale entropy; heart rate variability; daytime; nighttime

Abstract:: Abstract: Objective To apply multiscale base-scale entropy for analyzing the heart rate variability signals in the young and the elderly, during the day and night. Methods The heart rate variability signals of the young and the elderly were extracted from PhysioBank database and then analyzed with multiscale base-scale entropy analysis method. Results The entropy of heart rate variability signal was calculated. The entropy in waking state was higher than that in sleep state, but the changes of entropy were similar in daytime and nighttime. Although the trends of entropy in the elderly and the young were almost the same, the entropy in the elderly deviated from the entropy of the young, which indicated that the physiological status of the elderly had deviated from the best physiological status of the young. Conclusion The self-adaptability and stability of the heart system in waking state are better than those in sleep state. The entropy of the young and the elderly has correlations with circadian rhythm. Multiscale base-scale entropy is proved to be feasible in identifying the heart rate variability signals from the young and the elderly, and distinguishing daytime and nighttime heartbeats.