Effect of Maha Mrityunjaya HYMN Recitation on Human Brain for the Analysis of Single EEG Channel C4-A1 Using Machine Learning Classifiers on Yoga Practitioner

Rishi Pal,Belal Bin Heyat,Zili You, Balaram Pardhan,Faijan Akhtar, Syed Jafar Abbas,Bishal Guragai, Kadambini Acharya

2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)(2020)

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摘要
Maha Mrityunjaya HYMN is Hindu religious belief to control the mind to dedicate Lord Shiva. Many seers have been practicing it since ancient time. The main aim of this paper is to find the changes in brain signal using C4-A1 channel of the Electroencephalogram (EEG) signal during recitation of this hymn. This study was completed in some steps such as real time EEG recording, extraction of the C4-A1 channel, preprocessing, calculation of the power spectral density, and classification using Decision Tree (DT) and K-Nearest Neighbor (KNN) on five yoga practitioners. The KNN classifier having 5-fold cross validation model achieved the highest recall (97.4%) and accuracy (97.4%) of the system. We obtained that the average frequency of the EEG wave increased prominently. This study will be helpful for the people to understand in the scientific way for the recitation of the religious hymn.
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关键词
Brain,Maha mrityunjaya hymn,Hinduism,Decision tree,KNN,EEG,Yoga
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