Optimized Meditative EEG Channel Estimation for Efficient Impact Study of Mindfulness for Sustainable Health

Meditation is a disciplined mindfulness practice in which the practitioners direct their attention towards a specific object, action, or thought. To comprehensively investigate the impact of meditation on electroencephalography (EEG) signals, it is crucial to develop a technique that illustrates the interactions among various EEG channels during diverse cognitive activities. In this work, factor analysis (FA) is utilized to examine the connections and fluctuations between EEG channels during different meditational tasks. By employing FA, we can effectively reduce the extensive dimensionality of the EEG channel. Significantly, the application of FA revealed three distinct factors that collectively accounted for an impressive 92.9% of the total variance in the EEG channels. This dimensionality reduction enables a focused exploration of the fundamental aspects of brain activity associated with meditation. Additionally, by organizing electrodes based on their maximum absolute loading values, the study uncovered intricate patterns of interaction among different brain channels.