Classification of Meditation EEG Signals Using Empirical Wavelet Transform and Atom Search Optimization-Based Feature Selection
OICC Press Journals December 8, 2025 Elham Simakani, Iman Ahanian, Mahdi Eslami et al.
Analysis of the electroencephalogram (EEG) is a significant technique for deciphering brain activity during meditation; nonetheless, the proper classification of EEG signals is challenging due to the existence of noise, high dimensionality, and overlapping components. In order to alleviate the above pitfalls, the current work presents a novel framework consisting of Empirical Wavelet Transform...