Sanjay Kumar Palit

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Approximation of a continuous dynamics by discrete dynamics in the form of Poincare map is one of the fascinating mathematical tool which can describe the approximate behaviour of the dynamics of the dynamical system in lesser dimension than the embedding diemnsion. The present article considers a very rare biomedical signal like Electromyography (EMG)(More)
Reconstruction of phase space is an effective method to quantify the dynamics of a signal or a time series. Various phase space reconstruction techniques have been investigated. However, there are some issues on the optimal reconstructions and the best possible choice of the reconstruction parameters. This research introduces the idea of gradient cross(More)
The complexity of a signal can be measured by the Recurrence period density entropy (RPDE) from the reconstructed phase space. We have chosen a window based RPDE method for the classification of signals, as RPDE is an average entropic measure of the whole phase space. We have observed the changes in the complexity in cardiac signals of normal healthy person(More)
Poincaré map (PM) is one of the felicitous discrete approximation of the continuous dynamics. To compute PM, the discrete relation(s) between the successive point of interactions of the trajectories on the suitable Poincaré section (PS) are found out. These discrete relations act as an amanuensis of the nature of the continuous dynamics. In this article, we(More)
The present article establishes the significant difference between normal and on-music HRV data by applying the notion of Two Factor ANOVA. First of all, an attempt has been made to ascertain which of the seven available standard time domain measures of HRV data are significantly different and which are not so by the statistical test single factor ANOVA or(More)
Study of the effect of music on autonomic nervous system of human being through the analysis of Heart rate variability (HRV) signals is a very recent area of research. The present paper considers the effect of seven different types of music stimuli on a single subject. The data of the HRV signals are subjected to a recently developed technique known as(More)
The 2D Poincare' plot of HRV signal reflects the effect of different external stimuli on ANS. The classification is generally done by fitting an `ellipse' on the dense region of the constructed Poincare' plot of HRV signal. However 2D Poincare' plot sometimes fails to describe the proper behavior of the system. One such example is 2D Poincare' plot of HRV(More)
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