Multiscale power analysis for heart rate variability

Peng Zeng; Hongxing Liu; Huangjing Ni; Jing Zhou; Lan Xia; Xinbao Ning

doi:10.1063/1.4923321

AIP Advances (Jun 2015)

Multiscale power analysis for heart rate variability

Peng Zeng,
Hongxing Liu,
Huangjing Ni,
Jing Zhou,
Lan Xia,
Xinbao Ning

Affiliations

Peng Zeng: Institute of Biomedical Electronic Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
Hongxing Liu: Institute of Biomedical Electronic Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
Huangjing Ni: Institute of Biomedical Electronic Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
Jing Zhou: Institute of Biomedical Electronic Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
Lan Xia: School of Biological Sciences and Medical Engineering, Southeast University, Nanjing 210096, China
Xinbao Ning: Institute of Biomedical Electronic Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China

DOI: https://doi.org/10.1063/1.4923321
Journal volume & issue: Vol. 5, no. 6
pp. 067164 – 067164-8

Abstract

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We first introduce multiscale power (MSP) method to assess the power distribution of physiological signals on multiple time scales. Simulation on synthetic data and experiments on heart rate variability (HRV) are tested to support the approach. Results show that both physical and psychological changes influence power distribution significantly. A quantitative parameter, termed power difference (PD), is introduced to evaluate the degree of power distribution alteration. We find that dynamical correlation of HRV will be destroyed completely when PD>0.7.

Published in AIP Advances

ISSN: 2158-3226 (Online)
Publisher: AIP Publishing LLC
Country of publisher: United States
LCC subjects: Science: Physics
Website: http://aipadvances.aip.org/

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