Signature of complexity in time–frequency domain

Bo Yan, Sanjay K. Palit, Sayan Mukherjee and Santo Banerjee

Physica A: Statistical Mechanics and its Applications, 2019, vol. 535, issue C

Abstract: We propose a time–frequency based complexity to measure disorder in the long term dynamics of a signal. The disorder is characterized by defining an wavelet spectrogram space in a multiscale coordinate system. The multiscale coordinate system is formed with Wavelet coefficient of the signal. Further, an Weighted entropy measure is implemented to quantify the aforesaid disorder. Numerical results support the proposed method. The proposed entropy is successfully applied to distinguish the ECG signals of normal healthy person and congestive heart failure patients.

Keywords: Wavelet transforms; Wavelet spectrogram space; Multiscale coordinates; Entropy; Cross-correlations; ECG signal (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:535:y:2019:i:c:s0378437119314001

DOI: 10.1016/j.physa.2019.122433

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