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

机译:使用EEG数据在时域和频域对冥想和非冥想大脑进行集中注意力分析

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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.
机译:长期从事冥想的人的大脑活动和保持镇定状态的能力一直是研究的主题。此处的研究目的是证明冥想有助于保持大脑的平静状态。开发了一个基于MATLAB的多方面框架来分析练习冥想者的脑电图数据集。所提出的方法执行32个电极EEG数据的处理,并按时间序列对信号进行降噪。进行数据绘制,然后进行信号的PSD分析和FFT变换,以分析频域中的数据以检查每个频带。使用L2范数进行比较。后来发现ICWT可以分析数据并计算EEG信号的模量和角度。使用时域和频域的统计分析来研究冥想对冥想和非冥想大脑集中注意力和保持注意力的影响。

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