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

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

SUBMITTER: Shi M 

PROVIDER: S-EPMC11577734 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature