Abstract—The human heart is a nonlinear system because the heart rhythm is modulated by the Autonomic nervous system (ANS).The modulation of the heart rate about its mean value is called Heart rate variability (HRV). Nonlinear analysis of HRV is helpful to assess the cardiac health noninvasivly. The analysis of HRV data of different sets of subjects is done using ApEn. The autonomic dysfunction also causes cardiac malfunction. The Subjects involved in meditation is taken as one set. The other set is depressed subjects. The third set is congestive heart failur (CHF) subjects. The fourth set is healthy subjects. Also The effect of ANS on cardiac functioning is investigated, before and after the meditation for the set of meditation subject and also for the set of depressed subjects. The cardiac health status is also investigated for the set of Congestive heart failure (CHF) subjects and and healthy subjects. It has been found that the ApEn values indicated improved cardiac health after meditation. The ApEn values of depressed subjects is lower than that of healthy subjects. The high values of ApEn for healthy subjects suggest that the functioning of heart is dynamic. The lower ApEn values of the depressed subjects observed indicate the presence of the Autonomic dysfunction, which in turn effected cardiac function indirectly causing heart to exhibit less dynamism.. The CHF data showed the Apen values lower than healthy subjects indicating cardiac ill health.
Index Terms—Heart rate variability, Nonlinear, Approximate entropy, meditation, depressed
CH. Renu Madhavi is with the Dept, of Instrumentation, R. V. College of Engineering, Bangalore, India (renumadhavi@yahoo.com).
A. G. Ananth is with the Dept of Telecommunication, R. V. College of Engineering, Bangalore, India (antisro@yahoo.com).
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Cite: CH. Renu Madhavi and A. G. Ananth, "Analysis and Characterisation of Heart Rate Variability (HRV) Data of Different Sets of Subjects Using Nonlinear Measure (Approximate Entropy),"
International Journal of Computer Theory and Engineering vol. 2, no. 4, pp. 619-623, 2010.
