METHOD FOR CLASSIFYING HUMAN PSYCHO-EMOTIONAL STATES BASED ON INTEGRAL ELECTROENCEPHALOGRAM METRICS

Vladyslav Holoborodko; Volodymyr Lyfar

doi:10.30890/2567-5273.2025-42-02-073

METHOD FOR CLASSIFYING HUMAN PSYCHO-EMOTIONAL STATES BASED ON INTEGRAL ELECTROENCEPHALOGRAM METRICS

Authors

Vladyslav Holoborodko Volodymyr Dahl East Ukrainian National University https://orcid.org0009-0007-2385-9730
Volodymyr Lyfar Volodymyr Dahl East Ukrainian National University https://orcid.org0000-0002-7860-9663

DOI:

https://doi.org/10.30890/2567-5273.2025-42-02-073

Keywords:

psycho-emotional states, cluster analysis, integral indicators, pattern recognition, encephalogram

Abstract

The paper addresses the problem of classifying human psycho-emotional states (positive and negative) based on the intelligent analysis of electroencephalogram (EEG) data. Given that emotional states are characterized by non-stationarity and properties of

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Published

2025-12-30

How to Cite

Голобородько, В., & Лифарь, В. (2025). METHOD FOR CLASSIFYING HUMAN PSYCHO-EMOTIONAL STATES BASED ON INTEGRAL ELECTROENCEPHALOGRAM METRICS. Modern Engineering and Innovative Technologies, 2(42-02), 3–14. https://doi.org/10.30890/2567-5273.2025-42-02-073