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BMC Medical Informatics and Decision Making
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Open Access 01-12-2024 | Research

Modified multiscale Renyi distribution entropy for short-term heart rate variability analysis

Authors: Manhong Shi, Yinuo Shi, Yuxin Lin, Xue Qi

Published in: BMC Medical Informatics and Decision Making | Issue 1/2024

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Abstract

Background

Multiscale sample entropy (MSE) is a prevalent complexity metric to characterize a time series and has been extensively applied to the physiological signal analysis. However, for a short-term time series, the likelihood of identifying comparable subsequences decreases, leading to higher variability in the Sample Entropy (SampEn) calculation. Additionally, as the scale factor increases in the MSE calculation, the coarse-graining process further shortens the time series. Consequently, each newly generated time series at a larger scale consists of fewer data points, potentially resulting in unreliable or undefined entropy values, particularly at higher scales. To overcome the shortcoming, a modified multiscale Renyi distribution entropy (MMRDis) was proposed in our present work.

Methods

The MMRDis method uses a moving-averaging procedure to acquire a family of time series, each of which quantify the dynamic behaviors of the short-term time series over the multiple temporal scales. Then, MMRDis is constructed for the original and the coarse-grained time series.

Results

The MMRDis method demonstrated superior computational stability on simulated Gaussian white and 1/f noise time series, effectively avoiding undefined measurements in short-term time series. Analysis of short-term heart rate variability (HRV) signals from healthy elderly individuals, healthy young people, and subjects with congestive heart failure and atrial fibrillation revealed that MMRDis complexity measurement values decreased with aging and disease. Additionally, MMRDis exhibited better distinction capability for short-term HRV physiological/pathological signals compared to several recently proposed complexity metrics.

Conclusions

MMRDis was a promising measurement for screening cardiovascular condition within a short time.
Appendix
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Metadata
Title
Modified multiscale Renyi distribution entropy for short-term heart rate variability analysis
Authors
Manhong Shi
Yinuo Shi
Yuxin Lin
Xue Qi
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2024
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-024-02763-1

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