In recent times, Mind-Body awareness training (MBAT) through yoga and meditation has harvested interest because of raise in the attentiveness of the potential health benefits and enhancement in concentration level this training can offer to practitioners [1]. In our work using Brain to Computer Interface(BCI), cognitive analysis of yoga with meditation on health of individual being based on Electro Encephalo Graphy (EEG) is achieved by using Enobio-8 by acquiring EEG data at four defined stages. In the first stage, subjects were informed to relax and then data is recorded for 3-minute duration called as “Before Meditation”. In the second stage, subjects were intimated to perform meditation for 10-minutes and later data is recorded for 3-minute duration called as “After Meditation”. In the third stage, subject’s EEG data is recorded before pranayama for 3-minute duration called as “Before Pranayama and meditation”. In the fourth stage, subjects perform prescribed Pranayama and meditation for 10-minute, later EEG data is recorded called as “After Pranayama and meditation”. Acquired EEG data is preprocessed and features are extracted using MATLAB for comparative analysis. In time domain, mean, standard deviation, variance, minimum, maximum, skewness and median is calculated for all the four stages. Similarly, in frequency domain power, energy and entropy is calculated for delta, theta, alpha, beta, gamma bands.