Estimation of ApEn for short-term HFECG based on multi-resolution analysis
Yinlin Xu,
Xiaofei Ma and
Xinbao Ning
Physica A: Statistical Mechanics and its Applications, 2007, vol. 376, issue C, 401-408
Abstract:
It is difficult to gain stable and credible values of ApEn (approximate entropy) for original signals of short-term high-frequency electrocardiogram (SHFECG) (X. Yinlin, N. Xinbao, C. Ying, W. Jun, Mode entropy and dynamical analysis of irregularity for HFECG. Chin. Sci. Bull. 49 (2004) 1886–1890, X. Ning, Y. Xu, J. Wang et al., Approximate entropy analysis of short-term HFECG based on wave mode. Physica A 346 (2005) 475–483). In this paper, original signals of SHFECG are decomposed into detail signals with multi-resolution wavelet analysis, and then their ApEn is calculated. A conclusion can be drawn that stable and credible values of ApEn can be counted from high-frequency detail signals (HFDS). Furthermore, different frequency details of SHFECG have different distributions of ApEn between heart diseases and healthy subjects with a variety of ages. Therefore, it is of great significance for diagnosing heart diseases in time.
Keywords: Multi-resolution wavelet analysis; Approximate entropy; High-frequency electrocardiogram (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:376:y:2007:i:c:p:401-408
DOI: 10.1016/j.physa.2006.10.055
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