Meditation is known for its positive impact on well-being. Electroencephalogram (EEG) signals have been studied in the literature to analyze these effects. Due to the non-stationary nature of EEG signals, Fourier transform-based methods are not suitable for extracting brain patterns. Thus, analyzing and detecting changes in brain patterns associated with the progression of meditation effects...
Mantra meditation (MM) is known to influence cognitive and emotional processes, and electroencephalogram (EEG) has been widely used to study meditation-related neural activity. However, automated identification of distinct auditory listening phases during MM remains challenging due to the non-stationary nature of EEG signals. This shows the need for physiologically interpretable analysis of...