Information and software electroencephalographic analysis of mental activity of the brain

О.В. Потапова; В.Ю. Потапов; Е.А. Юматов

Information and software electroencephalographic analysis of mental activity of the brain

О.В. Потапова¹, В.Ю. Потапов², Е.А. Юматов³

research article Pages: 45-50

¹ к.б.н. ст. преподаватель, кафедра нормальной физиологии, Первый московский государственный медицинский университет им. И.М. Сеченова
² зам. директора департамента аутсорсинга систем учета и контроля, Ассоциация участников финансового рынка «Некоммерческое партнерство развития финансового рынка РТС» (Москва)
³ д.м.н., академик Международной АН (IAS), профессор, кафедра основ радиотехники, Национальный исследовательский университет «МЭИ» (Москва); гл. специалист, лаборатория системных механизмов эмоционального стресса, Научно-исследовательский институт нормальной физиологии им. П.К. Анохина (Москва)

Keywords: mental activity of the brain consciousness information technology EEG wavelet analysis of the EEG

Abstract

Currently using various electrophysiological, neurochemical, magnetic resonance methods and devices can be registered neurophysiological processes in the brain.

At the same time, all existing techniques in psychophysiology and neurophysiology not allow directly to register and study the patterns of mental activity of the brain: the thoughts, emotions, feelings, mechanisms which are beyond the objective scientific study.

At the present time it was developed advanced mathematical method of wavelet analysis of the electroencephalogram (EEG), which opens up new possibilities for identifying the content of brain processes and, in particular, the mental activity of the brain.In the work of the task is to try to identify the electroencephalogram using the method of wavelet analysis of the EEG manifestations of mental activity of the brain associated with awareness and the subjective perception of the semantic content of the visual image.

For this purpose, software has been developed for testing the temporal visual discriminatory abilities, awareness of the semantic content of the image at least of its display on the monitor screen.

Developed information and software allows you to identify and as compare EEG indicators of two States of brain activity during which there is a subjective semantic perception of the visual image of a man, and when it is absent because of the short duration of presentation of visual images.

How to cite

Потапова О.В., Потапов В.Ю., Юматов Е.А. Информационно-программное обеспечение для электроэнцефалографического анализа психической деятельности мозга // Нейрокомпьютеры: разработка, применение. 2016. № 11. С. 45–50.

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[1] Pavlov I.P. Dvadcatiletnijj opyt obektivnogo izuchenija vysshejj nervnojj dejatelnosti (povedenija) zhivotnykh. Polnoe sobranie sochinenijj. M. - L.: Izd. AN SSSR. 1951.

[2] Anokhin P.K. Psikhicheskaja forma otrazhenija dejjstvitelnosti // V sb. «Leninskaja teorija otrazhenija i sovremennost». Razd. 1. Gl. 3 // Pod red. T. Pavlova. Sofija. 1969. S. 109.

[3] Bekhtereva N.P., Budzen P.V., Gogolicyn JU.L. Mozgovye kody psikhicheskojj dejatelnosti. L.: Nauka. 1977. S. 165.

[4] Ivanickijj A.M. Glavnaja zagadka prirody: kak na osnove processov mozga voznikajut subektivnye perezhivanija // Psikhologicheskijj zhurnal. 1999. T. 20. № 3. S. 93-104.

[5] Nagel T. Myslimost nevozmozhnogo i problema dukha i tela // Voprosy filosofii. 2001. № 8.

[6] Sudakov K.V. Sistemnye mekhanizmy psikhicheskojj dejatelnosti // Nevrologija i psikhiatrija im. S.S. Korsakova. 2010. T. 110. № 2. S. 4-14.

[7] Popper K. Znanie i psikhofizicheskaja problema: V zashhitu vzaimodejjstvija: Per. s angl. I. V. ZHuravleva. M. 2008. 256 c.

[8] Crick F., Koch C. Why neuroscience may be able to explain consiousness // Scientific Amer. 1995, V. 273. P. 66.

[9] Sperry R.W. Neurology and the mind-brain problem // Am. Sci. 1952. V. 40. P. 291-312.

[10] JUmatov E.A. Sistemnaja psikhofiziologija subektivnogo sostojanija cheloveka: Monografija. M.: Sputnik+. 2011. 142 s.

[11] JUmatov E.A. Psikhicheskaja dejatelnost mozga ? «kljuch» k poznaniju // Vestnik Mezhdunarodnojj akademii nauk. Russkaja sekcija. 2013. № 1. C. 35-45.

[12] Yumatov E.A. To knowledge of the origin of the brain mental activity // World Journal of Neuroscience 2014. V. 4. № 2. P. 170-182.

[13] Grubov V.V., Sitnikova E.JU., Koronovskijj A.A., Pavlov A.N., KHramov A.E. Avtomaticheskoe vydelenie i analiz oscilljatornykh patternov na nestacionarnykh signalakh EHEHG s ispolzovaniem vejjvletnogo preobrazovanija i metoda ehmpiricheskikh mod // Izv. RAN. Ser. Fizicheskaja. 2012. T. 76. № 12. S. 1520-1523.

[14] Koronovskijj A.A., Makarov V.A., Pavlov A.N., Sitnikova E.JU., KHramov A.E. Vejjvlety v nejjrodinamike i nejjrofiziologii. M.: Fizmatlit. 2013.

[15] Pavlov A.N., KHramov A.E., Koronovskijj A.A., Sitnikova E.JU., Makarov V.A., Ovchinnikov A.A. Vejjvlet-analiz v nejjrodinamike. UFN. 2012. № 182(9). S. 905-939 (http://ufn.ru/ru/articles/2012/9/a/).

[16] Hramov A.E., Koronovskii A.A., Makarov V.A., Pavlov A.N., Sitnikova E.Yu. Wavelets in Neuroscience. Springer Heidelberg New York Dordrecht London. 2015. 318 p.

[17] MacDonald M. Pro WPF 4.5 in C#: Windows Presentation Foundation in NET 4.5 Apress, 2012. 1095 p. 4th edition.

[18] Stenning J. Direct3D Rendering Cookbook 430 pages Packt Publishing (January 20, 2014).

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