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Official website of Kotelnikov IRE RAS
Official website of Development of the multi-agent logic programming approach to
human behaviour analysis in a multi-channel video surveillance project
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The main tasks of the laboratory of Biomedical Informatics (Lab. 144):
Development of automated diagnostic methods for brain diseases, including:
- studies of the time-frequency characteristics of electroencephalograms (EEG), electromyograms (EMG), and accelerometer signals in patients with neurodegenerative diseases;
- studies of methods for quantitative assessment of interchannel phase synchronization of multichannel EEG signals in patients with traumatic brain injury of moderate severity and the dynamics of patient rehabilitation;
- studies of methods for automated detection of diagnostic indicators of multi-day multi-channel video-EEG monitoring of patients with epilepsy and delayed cerebral ischemia;
The team of the laboratory:
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Head of the laboratory: Yury Vladimirovich Obukhov
Yury Vladimirovich Obukhov graduated from the Moscow Institute of Physics and Technology in 1974. He received Ph. D. degree in 1982 and he received Dr. Sci. degree of physical and mathematical sciences in 1992. Currently holds the position of the chief researcher and head of the laboratory of Biomedical Informatics of the Kotelnikov Institute of Radio Engineering and Electronics of the Russian Academy of Sciences. Scientific interests: signal and image processing and analysis, biomedical informatics and information systems. Author of more than 200 papers. Member of the editorial board of the journal Pattern Recognition and Image Analysis (Pleiades Publishing).
Yury Obukhov on Publons
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Renata Alekseevna Tolmacheva
Tolmacheva Renata Alekseevna works at the Kotelnikov Institute of Radio Engineering and Electronics of RAS since 2017, currently Renata Alekseevna holds the position of a junior research associate. She had been a Ph.D student of the Kotelnikov Institute of Radio Engineering and Electronics of RAS from 2016 to 2020.
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Konstantin Yurievich Obukhov
Obukhov Konstantin Yurievich is a graduate of the Moscow Institute of Physics and Technology (State University). Konstantin Yurievich has experience in the creation of recognition models in biomedicine based on machine learning algorithms. The main directions of scientific work are the classification of early parkinsonism and the recognition of epileptiform activity based on the data of measurements of electroencephalograms (EEG). Obukhov K.Yu. investigates the significance of time-frequency EEG features and their influence on the classification of various nervous diseases.
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Inna Alexandrovna Obukhova
Obukhova Inna Alexandrovna is a graduate of the Moscow Institute of Physics and Technology (State University). Inna Alexandrovna has experience in the creation of recognition models in biomedicine based on machine learning algorithms. The main directions of scientific work are the classification of early parkinsonism and the recognition of epileptiform activity based on the data of measurements of electroencephalograms (EEG). She investigates the significance of time-frequency EEG features and their influence on the classification of various nervous diseases.
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Sergei Yurievich Kust
Kust Sergei Yurievich graduated from the Bauman Moscow State Technical University in 2021; he studied at the Department of Medical and Technical Information Technologies. Since 2021, Kust S.Y. is a postgraduate student of the 1st year at the Kotelnikov Institute of Radio Engineering and Electronics of RAS. During his studies at the Bauman Moscow State Technical University, he prepared 2 papers, presented by him personally at international conferences.
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