ALGORITHMIC EVALUATION OF HUMAN BRAIN RESPONSE TO STIMULATION VIA ALPHA, BETA, GAMMA, AND THETA WAVES

Khomidov Iqboljon Ibrokhimjon ugli, Mirzaeva Manzura Maxmudovna

Authors

Khomidov Iqboljon Ibrokhimjon ugli, Mirzaeva Manzura Maxmudovna Andijan State Technical Institute

Keywords:

EEG signals, alpha wave, beta wave, gamma wave, theta wave, stimulation, algorithmic analysis, brain activity.

Abstract

This article examines the effect of external stimulation (music, noise, and high-pitched sounds) on human brain activity using EEG signals and algorithmic modeling. Changes in alpha, beta, gamma, and theta waves are associated with mental states, attention, and relaxation levels, and algorithmic models serve as a crucial tool for their systematic and quantitative assessment. The relevance of this study lies in the fact that traditional EEG analysis methods cannot sufficiently capture complex stimulation-dependent changes, whereas digital modeling approaches enable real-time evaluation of the brain’s responses.

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