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While biosignal analysis has been a mainstay in many medical applications for a number of decades, notably in cardiology, problems remain in the analysis of high volume data and in comparison among time series. Effective comparisons can determine if the state of a particular patient has changed significantly. These comparisons are useful in both long-term and short-term monitoring. Methods will vary...
On the body surface the electric field generated by the cardiac muscles consists of electric potential maxima and minima that increase and decrease during each cardiac cycle. The recording of these electric potentials as a function of time is called electrocardiography, and the resulting signal is called the electrocardiogram (ECG). The ECG signal is used extensively as a low cost diagnostic tool...
Taking cats as experiment animal model, the chaotic characteristics of postganglionic inferior cardiac sympathetic nerve activity (PICSNA) is analyzed with Cao method, correlation dimension analysis and largest Lyapunov exponent analysis. The analysis results show that the deterministic chaos lies in the peak-peak interval time series of PICSNA. Our work maybe can help explain why HRV is chaotic
We present a multifractal analysis of diurnal heart interbeat time series from healthy young subjects, healthy elderly subjects and patients with congestive heart failure (CHF). Aging and CHF causes loss of multifractality. We analyze the multifractal spectrum asymmetry. We show that the joint analysis of the degree of multifractality and the asymmetry parameter can differentiate between the cardiac...
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