Time-Frequency Analysis of EEGs Recorded during Meditation

Time-frequency analysis is one of the most important and commonly used analytical tools for evaluating physiological signals. In the past, many researchers investigated the effect of meditation on stress relief and disease improvement. In this research, we select 10 normal adults as the subjects, and divided them into two groups: more than 10 years of meditation experience and no experience. The task was mainly designed to trace the varying spectral characteristics of EEG recorded with 19 active electrodes at a sampling frequency of 250Hz during meditation. And then we analyzed the changes of EEGs during meditation quantitatively. To obtain new insights into the nature of the EEG during meditation, we analyzed the recorded signals using Fast-Fourier Transform (FFT). An important problem in EEG signal processing is efficient segmentation. The comparisons between the recording times at different electrodes exhibit behavior that is strongly dependent on time and frequency.