Focused Attention Analysis of Meditating and Non-meditating Brains in Time and Frequency Domains Using EEG Data

Abstract

The activity and the ability of brain to maintain the state of calmness in individuals practicing meditation has been a subject of research from long time. The aim of the study here is to prove that the meditation aids in retaining the state of calmness of brain. A MATLAB based multifaceted framework is developed for analyzing the dataset of brain EEG of people practicing meditation. The proposed method performs the processing of 32 electrode EEG data and denoises the signal in time series. The plotting of data followed by PSD analysis and FFT transform of the signal to analyze the data in frequency domain for examining each frequency band. The comparison is done using the L2 norm. The ICWT is later found to analyze the data and calculate for Modulus and angle of the EEG signal. The statistical analysis in time and frequency domain is use to study the effect of meditation on focused attention and retaining of same in meditating and non-meditating brains.

Group Complexity for Semigroup of Electroencephalography Signals during Epileptic Seizure

“…There are several techniques recommended in order to specify the EEG information. One of these, the Fast Fourier Transforms (FFT) occurred as a very powerful tool capable of symbolizing the frequency components of EEG signals, even reaching diagnostic importance (Abarbanel et al, 1985;Selvaraj and Sivaprakasam, 2014). However, FFT has some disadvantages that limit its applicability and therefore, other techniques for extracting hidden data from the EEG signals are necessary.…”