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Measuring EEG signals as a diagnostic tool for Epileptic patient is a well traveled way. Different non-linear statistical approaches have been applied over the past years on this signal to reveal the nature of connection between epilepsy and EEG. In this work we study the post-ictal ECG signals of epileptic patient collected from MIT-BIH database using mono-fractal methods as well as multifractal...
Intrapartum fetal surveillance aims at preventing neonatal morbidity and mortality due to asphyxia. Continuous fetal heart rate monitoring helps in reducing asphyxia yet generates many unnecessary c-sections. In fetal heart rate time series analysis, variability is a key parameter as its decrease is used to identify asphyxia. Multifractal analysis can be envisaged as a new statistical tool enabling...
We analyze the local regularity of RR traces from ECG through the computation of the so-called Holder exponents. These exponents are at the basis of multifractal analysis, which has been shown to be relevant in the study of RR data. While multifractal analysis yields a global picture of the (statistical) distribution of regularity, we focus here on its time evolution. We show that this evolution is...
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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