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29 April 2022 Automatical system for estimation of individual EEG characteristics based on recurrent analysis
Elizaveta P. Emelyanova, Anton O. Selskii, Margarita Popova, Anastasiya E. Runnova
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Proceedings Volume 12192, Optical Technologies for Biology and Medicine; 121920P (2022) https://doi.org/10.1117/12.2626304
Event: XXV Annual Conference Saratov Fall Meeting 2021; and IX Symposium on Optics and Biophotonics, 2021, Saratov, Russian Federation
Abstract
In this report, we proposed a method for identifying individual characteristics in electroencephalography of the brain of people suffering from chronic migraine during cognitive load. The method is based on a recurrence analysis. The analysis was carried out separately for complex and simple stimuli during cognitive test and comparisons were made between them. This approach makes it possible to identify for each subject the connections between records in which the frequency increases at the time of the cognitive test and/or a stable pattern is formed. The proposed method has a large number of applications in medicine and neurophysiology.
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Elizaveta P. Emelyanova, Anton O. Selskii, Margarita Popova, and Anastasiya E. Runnova "Automatical system for estimation of individual EEG characteristics based on recurrent analysis", Proc. SPIE 12192, Optical Technologies for Biology and Medicine, 121920P (29 April 2022); https://doi.org/10.1117/12.2626304
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KEYWORDS
Electroencephalography
Brain
Signal processing
Visualization
Data processing
Head
Neurophysiology
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