Supplementary Table S2: Hurst exponents of all IMFs of arrhythmic and normal subjects estimated by R/S technique.

Published: 12 September 2020| Version 1 | DOI: 10.17632/fxrx9wjxkd.1
Contributor:
CHIRANJIT MAJI

Description

Empirical Mode Decomposition (EMD) technique was applied to each of the filtered ECG signal (Supplementary Table S1) decomposing them into a finite number of Intrinsic Mode Functions (IMFs) following the sifting process. To retrieve the maximum number of IMFs, the number of iterations was set to 150. The number of IMFs retrieved from most of the ECG signals was 12. However, it ranges between 10 and 14. The values of Hurst Exponent (H) of all IMFs of the ECG time-series were estimated by R/S techniques in order to quantitatively assess the regularity and scaling of the data. The estimated H values for each IMFs corresponding to diseased and normal patients’ ECG data are tabulated in Supplementary Table S2.

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Statistical Database, Biomedical Signal Processing, Non-Linear Signal Analysis, Statistical Analysis

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