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29 April 2022 Analysis of cognitive evoked potentials to classificate patients with chronic pain
Anton O. Selskii, Maxim O. Zhuravlev, Elizaveta P. Emelyanova, Anastasiya E. Runnova
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Proceedings Volume 12192, Optical Technologies for Biology and Medicine; 121920O (2022) https://doi.org/10.1117/12.2626302
Event: XXV Annual Conference Saratov Fall Meeting 2021; and IX Symposium on Optics and Biophotonics, 2021, Saratov, Russian Federation
Abstract
This article describes the developed method for classifying the type of migraine in patients. For this, we analyzed the individual characteristics of patients with different types of migraine when performing cognitive tests. Evoked potentials were used for the analysis when observing the visual stimulus and solving the cognitive test. The cognitive test had different levels of complexity, which made it possible to consider separately the evoked potentials received in solving cognitive tasks of high complexity and separately with a small complexity of the cognitive task. These cases were compared with the case when the evoked potentials were built for all available cognitive tasks. The analysis of the emerging individual characteristics made it possible to determine the trends in the observed evoked potentials in different types of migraine, which makes it possible to more effectively monitor the condition of patients suffering from migraine during treatment.
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Anton O. Selskii, Maxim O. Zhuravlev, Elizaveta P. Emelyanova, and Anastasiya E. Runnova "Analysis of cognitive evoked potentials to classificate patients with chronic pain", Proc. SPIE 12192, Optical Technologies for Biology and Medicine, 121920O (29 April 2022); https://doi.org/10.1117/12.2626302
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KEYWORDS
Electroencephalography
Visualization
Analytical research
Brain
Visual analytics
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