S.Yu. Tverskaya1, A.N. Tychkova2, Z.M. Yuldashev3, O.S. Simakova4, Y.R. Lukanina5
1,2,4,5 Penza State University (Penza, Russia)
3 Saint Petersburg State Electrotechnical University (Saint Petersburg, Russia)
1 tverskaya_sofya@mail.ru, 2 tychkovа-annf@mail.ru, 3 yuld@mail.ru, 4 zcsio@mail.ru, 5 kaneeva58@yandex.ru
Currently, there is a major problem of diagnostics and rehabilitation of mental disorders and behavioral disorders in humans. Diagnostics is carried out using clinical and instrumental research methods, among which the most common and effective is electroencephalography (EEG). Various methods are used to rehabilitate mental and behavioral disorders in humans, with music therapy proving to be the most versatile tool aimed at improving the quality of life of patients. However, despite existing methods, it is impossible to assess the exact condition of patients and the qualitative impact of rehabilitation on them due to the complex structure of EEG signals and the individual behavioral characteristics of the patients themselves.
The aim of the work – improving the process of complex processing of EEG signals by detecting and systematizing the importance of informative parameters.
An algorithm for complex processing of EEG signals during exposure of patients to instrumental and digital music has been developed, characterized by the presence of stages of comparative analysis of EEG signals before and during exposure to digital and instrumental music, as well as during the performance of exercises on cognitive abilities.
An algorithm for complex processing and analysis of EEG signal parameters recorded during the period of therapeutic musical influence for the study of patients' mental functions has been developed.
Tverskaya S.Yu., Tychkova A.N., Yuldashev Z.M., Simakova O.S., Lukanina Y.R. Methodology of complex EEG processing during therapeutic music treatment for rehabilitation of patients with mental and behavioral disorders. Biomedicine Radioengineering. 2026.
V. 29. № 1. P. 40–44. DOI: https:// doi.org/10.18127/ j15604136-202601-08 (In Russian)
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