7 research outputs found
Chinese-chi and Kundalini yoga Meditations Effects on the Autonomic Nervous System: Comparative Study
Cardiac disease is one of the major causes for death
all over the world. Heart rate variability (HRV) is a significant
parameter that used in assessing Autonomous Nervous System
(ANS) activity. Generally, the 2D Poincare′ plot and 3D PoincarĂ©
plot of the HRV signals reflect the effect of different external stimuli
on the ANS. Meditation is one of such external stimulus, which
has different techniques with different types of effects on the ANS.
Chinese Chi-meditation and Kundalini yoga are two different
effective meditation techniques. The current work is interested with
the analysis of the HRV signals under the effect of these two based on
meditation techniques. The 2D and 3D Poincare′ plots are generally
plotted by fitting respectively an ellipse/ellipsoid to the dense region
of the constructed Poincare′ plot of HRV signals. However, the
2D and 3D Poincaré plots sometimes fail to describe the proper
behaviour of the system. Thus in this study, a three-dimensional
frequency-delay plot is proposed to properly distinguish these two
famous meditation techniques by analyzing their effects on ANS.
This proposed 3D frequency-delay plot is applied on HRV signals
of eight persons practicing same Chi-meditation and four other
persons practising same Kundalini yoga. To substantiate the result
for larger sample of data, statistical Student t-test is applied, which
shows a satisfactory result in this context. The experimental results
established that the Chi-meditation has large impact on the HRV
compared to the Kundalini yoga
A Review on the Nonlinear Dynamical System Analysis of Electrocardiogram Signal
Electrocardiogram (ECG) signal analysis has received special attention of the researchers in the recent past because of its ability to divulge crucial information about the electrophysiology of the heart and the autonomic nervous system activity in a noninvasive manner. Analysis of the ECG signals has been explored using both linear and nonlinear methods. However, the nonlinear methods of ECG signal analysis are gaining popularity because of their robustness in feature extraction and classification. The current study presents a review of the nonlinear signal analysis methods, namely, reconstructed phase space analysis, Lyapunov exponents, correlation dimension, detrended fluctuation analysis (DFA), recurrence plot, Poincaré plot, approximate entropy, and sample entropy along with their recent applications in the ECG signal analysis
Chinese-chi and Kundalini yoga Meditations Effects on the Autonomic Nervous System: Comparative Study
Cardiac disease is one of the major causes for death all over the world. Heart rate variability (HRV) is a significant parameter that used in assessing Autonomous Nervous System (ANS) activity. Generally, the 2D Poincare′ plot and 3D PoincarĂ© plot of the HRV signals reflect the effect of different external stimuli on the ANS. Meditation is one of such external stimulus, which has different techniques with different types of effects on the ANS. Chinese Chi-meditation and Kundalini yoga are two different effective meditation techniques. The current work is interested with the analysis of the HRV signals under the effect of these two based on meditation techniques. The 2D and 3D Poincare′ plots are generally plotted by fitting respectively an ellipse/ellipsoid to the dense region of the constructed Poincare′ plot of HRV signals. However, the 2D and 3D PoincarĂ© plots sometimes fail to describe the proper behaviour of the system. Thus in this study, a three-dimensional frequency-delay plot is proposed to properly distinguish these two famous meditation techniques by analyzing their effects on ANS. This proposed 3D frequency-delay plot is applied on HRV signals of eight persons practicing same Chi-meditation and four other persons practising same Kundalini yoga. To substantiate the result for larger sample of data, statistical Student t-test is applied, which shows a satisfactory result in this context. The experimental results established that the Chi-meditation has large impact on the HRVcompared to the Kundalini yoga
STUDY OF THE EFFECT OF MUSIC ON CENTRAL NERVOUS SYSTEM THROUGH LONG TERM ANALYSIS OF EEG SIGNAL IN TIME DOMAIN
The paper studies the effect of music signal on central nervous system (CNS) through EEG signal analysis of normal healthy subjects. The subjects are all engineering students, ages ranging between 20 and30. The data are taken in two stages- one when they listen to a special type of music selected and the other, when they are in normal stage and not listening to any music. The experiments are done on eight leads, frontal leads being five in number and rest three being central. On the collected signals Independent Component Analysis (ICA) is applied to assist the process for isolating noise components and for providing cues to explain the functions of different brain areas from the view point of neurology. The results obtained through ICA were subjected to the study of long-term dynamics giving rise to three dimensional chaotic attractors. Next the chaotic attractors are subjected to the quantification analysis of three dimensional attractor by ‘ellipsoid fit’. It is found that the effect is most prominent in the frontal leads. However, the central leads also show some changes, but not as significant as frontal leads. Thus the present study also compares the results on the effect of music in the two types of leads separately. To validate the result, topographical scalp maps are constructed with the observed data. Interestingly the results of the scalp map support the results of quantification