%0 Book Section %1 statphys23_0179 %A Sarkar, A. %A Barat, P. %B Abstract Book of the XXIII IUPAP International Conference on Statistical Physics %C Genova, Italy %D 2007 %E Pietronero, Luciano %E Loreto, Vittorio %E Zapperi, Stefano %K analysis beat complexity heart meditation rate scaling statphys23 topic-11 %T Effect of meditation on human heartbeat rate %U http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=179 %X Physiological signals are endpoint manifestations of cellular events that depict how physiological systems vary over time. Extraordinary complexity of the physiological signals and the recognition that physiologic time series contain hidden information has stimulated growing interest in applying concepts and techniques of statistical and nonlinear physics to a wide range of biomedical problems. The human heartbeat is one important example of complex physiologic fluctuations which is considered as a suitable marker for estimation of autonomic nervous system. Recent studies reveal that under normal conditions, heartbeat rate fluctuations may display extended correlations of the type typically exhibited by dynamical systems far from equilibrium. In this paper, we study the effect of a particular form of mediation (Chinese Chi) on the heartbeat rate. We have applied two well known methods of scaling analysis (1) Detrended Fluctuation Analysis (DFA) and (2) Diffusion Entropy Analysis (DEA) on the 8 different heartbeat rate data sets (pre meditation and during meditation). The analyses revealed that the mediation affects the long range correlation exhibited by a normal heart. Moreover, DEA showed an appearance of periodicity in the heartbeat rate during meditation. We have also quantified the complexity of the heart rate variability using the multiscale entropy analysis and recurrence analysis. The heart beat during meditation is found to be more.

@incollection{statphys23_0179, abstract = {Physiological signals are endpoint manifestations of cellular events that depict how physiological systems vary over time. Extraordinary complexity of the physiological signals and the recognition that physiologic time series contain hidden information has stimulated growing interest in applying concepts and techniques of statistical and nonlinear physics to a wide range of biomedical problems. The human heartbeat is one important example of complex physiologic fluctuations which is considered as a suitable marker for estimation of autonomic nervous system. Recent studies reveal that under normal conditions, heartbeat rate fluctuations may display extended correlations of the type typically exhibited by dynamical systems far from equilibrium. In this paper, we study the effect of a particular form of mediation (Chinese Chi) on the heartbeat rate. We have applied two well known methods of scaling analysis (1) Detrended Fluctuation Analysis (DFA) and (2) Diffusion Entropy Analysis (DEA) on the 8 different heartbeat rate data sets (pre meditation and during meditation). The analyses revealed that the mediation affects the long range correlation exhibited by a normal heart. Moreover, DEA showed an appearance of periodicity in the heartbeat rate during meditation. We have also quantified the complexity of the heart rate variability using the multiscale entropy analysis and recurrence analysis. The heart beat during meditation is found to be more.}, added-at = {2007-06-20T10:16:09.000+0200}, address = {Genova, Italy}, author = {Sarkar, A. and Barat, P.}, biburl = {https://www.bibsonomy.org/bibtex/257a369a3ff7324fab4fa2a76acde873e/statphys23}, booktitle = {Abstract Book of the XXIII IUPAP International Conference on Statistical Physics}, editor = {Pietronero, Luciano and Loreto, Vittorio and Zapperi, Stefano}, interhash = {f1ce5973abac3332ca8c23f8d6fe5c58}, intrahash = {57a369a3ff7324fab4fa2a76acde873e}, keywords = {analysis beat complexity heart meditation rate scaling statphys23 topic-11}, month = {9-13 July}, timestamp = {2007-06-20T10:16:13.000+0200}, title = {Effect of meditation on human heartbeat rate}, url = {http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=179}, year = 2007 }