Abstract
This work reports on the study of the effects of meditation as stimulus on six subjects. Their ECG signals are acquired before and while on meditation. The ECG time series are analysed in the light of fractal based nonlinear technique. For this purpose Hurst's Rescaled range analysis method has been utilized. The results are interesting and may be useful in the development of meditation therapy.
Highlights
Meditation techniques are coming up as a psychological intervention to deal with several conditions including stress, chronic pain and anxiety [1, 2]
Research activities are in the area to find the functional links between meditation and the activity of the autonomic nervous system (ANS) via fMRI monitoring [4], heart rate variability studies [6], sleep studies [7], endocrine system response [8] etc
Hurst’s Rescaled Range Analysis method [16-17] has been utilized which focuses on finding the Fractal Dimension of the time varying ECG signal
Summary
Meditation techniques are coming up as a psychological intervention to deal with several conditions including stress, chronic pain and anxiety [1, 2]. Mindfulness meditation modulates the stage of thoughts Neuro-imaging techniques are very efficient methods for monitoring the dynamics of meditation. They are expensive and such methods are disturbing during the session of meditation. ECG signal has self-similarity or Fractal nature. Effect of meditation on ANS has been studied For this purpose, ECG signals are acquired from six subjects. Methods based on DSP techniques are sometimes unable to decode the complexity of non-linear signal modified by the input of emotion elicited stimuli. Hurst’s Rescaled Range Analysis method [16-17] has been utilized which focuses on finding the Fractal Dimension of the time varying ECG signal
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