Multiscale power analysis for heart rate variability
Source abstract
Abstract
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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Research context
OpenAlex topics: Heart Rate Variability and Autonomic Control · Time Series Analysis and Forecasting · Advanced Chemical Sensor Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Nanjing University 1 Institute of Biomedical Electronic Engineering, School of Electronic Science and Engineering, , Nanjing 210093, China
Southeast University 2 School of Biological Sciences and Medical Engineering, , Nanjing 210096, China
Funding
The Priority Academic Program Development of Jiangsu Higher Education Institusions · National Natural Science Foundation of China
References (21)
Show source-provided references
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