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Vikram M. Gadre

2 papers in the library · publishing 2025

Papers

Neurological Responses to Meditation with EEG Analysis Using Novel Empirical Fourier-Bessel Decomposition Approach

International Computer Science Conference February 20, 2025 Ashok Mahato, S. Bhalerao, R. B. Pachori et al.

A new method called empirical Fourier-Bessel decomposition (EFBD) was used to analyze brain wave patterns from 23 participants listening to the Rudram mantra. After listening, energy in delta, theta, and alpha brain rhythms increased significantly, indicating enhanced relaxation, improved concentration, and reduced anxiety. Brain region-specific analysis showed increased activity in the frontal and temporal regions. The method may help analyze meditation's impact on mental health.

Automated Classification of Listening Phases During Mantra Meditation from EEG using empirical Fourier-Bessel Decomposition

Ashok Mahato, Ram Bilas Pachori, Vikram M. Gadre et al.

A framework using empirical Fourier–Bessel decomposition and time–frequency representation of EEG signals can classify brain states during Rudram Mantra listening with 77.5% accuracy. The method identifies distinct neural patterns in frontal and temporal brain regions, suggesting that automated monitoring of meditative states is feasible.