Cognitive Analytics for Rapid Stress Relief in Humans Using EEG Based Analysis of Tratak Sadhana (Meditation): A Bigdata Approach

Swati Kamthekar, Prachi Deshpande and Brijesh Iyer
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Swati Kamthekar: Dr. B.A.T.U. Lonere- Maharashtra, India
Prachi Deshpande: Dr. B.A.T.U. Lonere- Maharashtra, India
Brijesh Iyer: Dr. B.A.T.U. Lonere- Maharashtra, India

International Journal of Information Retrieval Research (IJIRR), 2020, vol. 10, issue 4, 1-20

Abstract: The article reports the effect of Tratak Sadhana (meditation) on humans using electroencephalograph (EEG) signals. EEG represents the brain activities in the form of electrical signals. Due to non-stationary nature of the EEG signals, nonlinear parameters like approximate entropy, wavelet entropy and Higuchi' fractal dimensions are used to assess the variations in EEG rest as well as during Tratak Sadhana, i.e. at a rest state with eyes closed and during Tratak meditation. EEG signals are captured using EPOC Emotive EEG sensor. The sensor has 14 electrodes covering human scalp. Results shows that new practitioners can also achieve a rapid meditative state as compared to other meditation techniques. Further, the Big Data perspective of the present study is discussed. The present study shows that Tratak Sadhana meditation is an effective tool for rapid stress relief in humans.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jirr00:v:10:y:2020:i:4:p:1-20

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