Signature of complexity in time-frequency domain

被引：7
|
作者：
Yan, Bo [1 ]
Palit, Sanjay K. [2 ]
Mukherjee, Sayan [3 ]
Banerjee, Santo [4 ,5 ]
机构：
[1] Hunan Univ Arts & Sci, Coll Comp & Elect Engn, Changde 415000, Peoples R China
[2] Calcutta Inst Engn & Management, Basic Sci & Humanities Dept, Kolkata, India
[3] Sivanath Sastri Coll, Dept Math, Kolkata, India
[4] Univ Putra Malaysia, Inst Math Res, Serdang, Selangor, Malaysia
[5] Univ Putra Malaysia, Malaysia Italy Ctr Excellence Math Sci, Serdang, Malaysia
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2019年 / 535卷
关键词：
Wavelet transforms; Wavelet spectrogram space; Multiscale coordinates; Entropy; Cross-correlations; ECG signal; ENTROPY; ECG; DECREASE;
D O I：
10.1016/j.physa.2019.122433
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
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. (C) 2019 Elsevier B.V. All rights reserved.
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页数：9
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