Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/10608
Title: Assessment of Chanting Effects Using EEG Signals
Authors: Das, Kritiprasanna
Verma, Pankaj
Pachori, Ram Bilas
Keywords: Brain;Expansion;Fourier series;Signal processing;'hare krishna mantrum';Electrical activities;Electroencephalogram signals;Fourier-Bessel series expansion;Meditation;Mental health;Neural-processing;Non-invasive way;Physical health;Power;Electroencephalography
Issue Date: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Das, K., Verma, P., & Pachori, R. B. (2022). Assessment of Chanting Effects Using EEG Signals. 2022 24th International Conference on Digital Signal Processing and Its Applications (DSPA), 1–5. https://doi.org/10.1109/DSPA53304.2022.9790754
Abstract: Meditation is practiced since the old days and its popularity is growing in recent years to get better mental as well as physical health in a natural way. A rapidly increasing number of studies are involved in finding the biological mech-anism underlying the beneficial impacts of meditation. Surface electroencephalogram (EEG) is a non-invasive way to record the electrical activity of the brain which carries important signature about the different neural processing, going on inside the brain. EEG signals show oscillations at different frequency bands known as EEG rhythms which are associated with divergent neurophysiological states. In this paper, we have analyzed the effect of chanting 'Hare Krishna Mantra' (HKM) on EEG rhythms. Relative band power of different rhythms, after and before one round (108 times) chanting HKM, are compared. A non-stationary signal decomposition tool, Fourier-Bessel series expansion is used to calculate the band power. After mediation, alpha band power has increased significantly which implies the relaxed and peaceful state of mind. This study on HKM chanting effects on EEG rhythms may show a simple but effective path to control stress, depression, tension, etc. © 2022 IEEE.
URI: https://doi.org/10.1109/DSPA53304.2022.9790754
https://dspace.iiti.ac.in/handle/123456789/10608
ISBN: 978-1665494434
Type of Material: Conference Paper
Appears in Collections:Department of Electrical Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: