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Title: Chaotic correlations among cycles in human electrocardiogram
Authors: Zhang, J
Luo, X
Small, M
Issue Date: 2006
Source: Proceedings of The 2006 International Symposium on Nonlinear Theory and Its Applications (NOLTA'2006), Bologna, Italy, 11-14 September 2006, p. 367-370 How to cite?
Abstract: By using a recently developed method that is specifically designed to seek temporal correlation among cycles in pseudoperiodic time series, we are able to identify chaos in the human electrocardiogram (ECG) from both healthy and pathological groups. This method uses correlation coefficient as a measure of distance between cycles and further constructs a hierarchy of pseudo cycle series that in turn preserve less determinism than the original one. Appropriate statistics are then devised to reveal the temporal and spatial correlation encoded in this hierarchy of pseudo cycle series, which allows for reliable detection of chaos in the original time series. The method is free from phase space reconstruction and also proved to be robust to different noise and nonstationarity. We provide evidence that the human cardiac system is chaotic by using this method.
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