Chaos based nonlinear analysis to study cardiovascular responses to changes in posture

Dipak Ghosh, Srimonti Dutta, Sayantan Chakraborty and Shukla Samanta

Physica A: Statistical Mechanics and its Applications, 2018, vol. 512, issue C, 392-403

Abstract: Cardiovascular responses to changes in posture have been the focus of numerous investigations in the past. Analysis of ECG and arterial blood pressure (ABP) data for different postures, obtained from ‘Physionet’ was done from a new perspective of analyzing nonlinear time series having multifractal features. Multifractal detrended fluctuation analysis (MFDFA) and also the cross-correlation between ECG and BP with another technique Multifractal detrended cross-correlation analysis (MFDXA) reveals ECG and ABP time series of different subjects to be multifractal in nature with different degree of complexity. Different degree of auto and cross-correlation for both ECG and ABP signals is also observed for all subjects.

Keywords: Fractals; Multifractals; Multifractal width; Autocorrelation; Cross-correlation (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:512:y:2018:i:c:p:392-403

DOI: 10.1016/j.physa.2018.08.125

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