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1.
Artículo en Inglés | MEDLINE | ID: mdl-21095797

RESUMEN

Previously, we have reported the presence of oscillations in the graphs we have used to evaluate the Higuchi's fractal dimension in RR intervals time series of congestive heart failure (CHF) patients in the sleep phase but these oscillations hardly appear in all the six hours of the awake phase. In this paper we report the same analysis for heart rate time series for different groups of healthy subjects; we are looking for the presence of this kind of oscillations in other situations. We analyzed all the time series in the Exaggerated Heart Rate Oscillations database of Physionet during two meditation techniques: volunteers with spontaneous breathing, subjects in meditation, volunteers in a metronomic breathing group and elite athletes. We have found oscillations in the graphs of the Higuchi's fractal dimension in the heart rate time series of subjects in meditation and metronomic breathing and this fact coincides with previous reported results.


Asunto(s)
Algoritmos , Relojes Biológicos/fisiología , Fractales , Frecuencia Cardíaca/fisiología , Modelos Cardiovasculares , Adulto , Simulación por Computador , Femenino , Humanos , Masculino , Persona de Mediana Edad , Adulto Joven
2.
Conf Proc IEEE Eng Med Biol Soc ; 2006: 1450-3, 2006.
Artículo en Inglés | MEDLINE | ID: mdl-17946464

RESUMEN

We study the asymmetry of multifractal spectra of diurnal heartbeat time series from healthy young subjects, healthy elderly subjects and patients with congestive heart failure (CHF). Aging and CHF causes loss of multifractality. We report here some ways of analyzing the asymmetry of these spectra and we show how the joint analysis of the degree of multifractality and the parameters that characterizes the asymmetry can differentiate between the cardiac interbeat time series of young and elderly persons and it can also separate healthy subjects and CHF patients.


Asunto(s)
Envejecimiento , Algoritmos , Diagnóstico por Computador/métodos , Electrocardiografía/métodos , Insuficiencia Cardíaca/fisiopatología , Frecuencia Cardíaca , Modelos Cardiovasculares , Adulto , Anciano , Simulación por Computador , Femenino , Fractales , Insuficiencia Cardíaca/diagnóstico , Humanos , Masculino , Persona de Mediana Edad
3.
Conf Proc IEEE Eng Med Biol Soc ; 2005: 6981-4, 2005.
Artículo en Inglés | MEDLINE | ID: mdl-17281881

RESUMEN

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 interbeat time series of young and elderly persons and it can also separate healthy subjects and CHF patients.

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