Multiscale power analysis for heart rate variability | Zendy

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

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Multiscale power analysis for heart rate variability

Author(s) -

Peng Zeng,

Hongxing Liu,

Huangjing Ni,

Jing Zhou,

Lan Xia,

Xinbao Ning

Publication year - 2015

Publication title -

aip advances

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.421

H-Index - 58

ISSN - 2158-3226

DOI - 10.1063/1.4923321

Subject(s) - heart rate variability , power (physics) , statistical physics , distribution (mathematics) , correlation , biological system , computer science , statistics , mathematics , heart rate , physics , medicine , thermodynamics , mathematical analysis , biology , geometry , blood pressure

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

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