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Symbolic transfer entropy-based premature signal analysis |
Wang Jun(王俊)† and Yu Zheng-Feng(余正锋) |
Image Processing and Image Communications Key Laboratory, School of Geography and Biological Information, Nanjing University of Posts & Telecommunications, Nanjing 210003, China |
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Abstract In this paper, we use symbolic transfer entropy to study the coupling strength between premature signals. Numerical experiments show that three types of signal couplings are in the same direction. Among them, normal signal coupling is the strongest, followed by that of premature ventricular contractions, and that of atrial premature beats is the weakest. The T test shows that the entropies of the three signals are distinct. Symbolic transfer entropy requires less data, can distinguish the three types of signals and has very good computational efficiency.
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Received: 06 July 2011
Revised: 31 July 2011
Accepted manuscript online:
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PACS:
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87.85.-d
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(Biomedical engineering)
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87.85.Ng
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(Biological signal processing)
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Fund: Project supported by the Jiangsu Province Science Foundation, China (Grant No. BK2011759). |
Cite this article:
Wang Jun(王俊) and Yu Zheng-Feng(余正锋) Symbolic transfer entropy-based premature signal analysis 2012 Chin. Phys. B 21 018702
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