Výsledky vyhledávání - "Igor V. Shcherban"

Method of automatic search for odor-induced patterns in bioelectric activity of a rat olfactory bulb

Autor: Peter Olegovich Kosenko, Igor V. Shcherban, Paul Vladimirovich Lobzenko, Oxana Georgievna Shcherban

Publikováno v: Information and Control Systems. :62-69

Introduction: The olfactory system in chronic animal experiments is studied according to the records of bioelectric activity recorded with microelectrode arrays located on the dorsal surface of the olfactory bulb. It is believed that the response of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0a2ef90bde12b3ac5cbda73261373d05
https://doi.org/10.31799/1684-8853-2020-5-62-69

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Development of Algorithms to Detect EEG Patterns Specific for Arbitrary Motor Activity of a Human in the BCI Applications

Autor: Igor V. Shcherban, D. G. Shaposhnikov, D. M. Lazurenko, Nikolay E. Kirilenko

Publikováno v: Advances in Neural Computation, Machine Learning, and Cognitive Research V ISBN: 9783030915803

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5be0ec06dc5b751f5c169dfce9efe77a
https://doi.org/10.1007/978-3-030-91581-0_10

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A Search Method for Unknown High-Frequency Oscillators in Noisy Signals Based on the Continuous Wavelet Transform

Autor: Nikolay E. Kirilenko, Igor V. Shcherban, S. O. Krasnikov

Publikováno v: Automation and Remote Control. 80:1279-1287

We propose a method for finding a priori undefined structures of unknown temporal fluctuations for frequency oscillators of various intensities as part of the output signals of synchronized dynamical systems. Unlike traditional approaches, the develo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9f0fc9368dde7e215eb209448f6700e1
https://doi.org/10.1134/s0005117919070051

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Adaptive Hausdorff Estimation of Movement-Related Eeg Patterns for Brain-Computer Interfaces

Autor: D. M. Lazurenko, V. N. Kiroy, D. G. Shaposhnikov, Arina V. Shustova, Igor V. Shcherban, Nikolay E. Kirilenko

Publikováno v: SSRN Electronic Journal.

The study was aimed at developing a new automatic search technique for specific invariant patterns associated with the execution of voluntary motor activity (Readiness potentials, RP) reflected in multidimensional electroencephalogram (EEG) signals.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2101816880038b3f609055e4211cb5e2
https://doi.org/10.2139/ssrn.3915013

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Spoken and Inner Speech-related EEG Connectivity in Different Spatial Direction

Autor: O. M. Bakhtin, Elena Krivko, D. M. Lazurenko, E. V. Aslanyan, D. G. Shaposhnikov, Igor V. Shcherban, V. N. Kiroy

Publikováno v: Biomedical Signal Processing and Control. 71:103224

Although a significant number of studies have been devoted to the investigation of the electrographic correlates and neurophysiological mechanisms of spoken and inner (imagined) speech, there is a question on which EEG characteristics reflect its con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::926152c78d487109cf25c76bd264862e
https://doi.org/10.1016/j.bspc.2021.103224

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Feature Extraction of High-Frequency Patterns with the a Priori Unknown Parameters in Noised Electrograms Using Spectral Entropy

Autor: Andrey A. Kostoglotov, Igor V. Shcherban, Nikolay E. Kirilenko

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030018207

Statement of the problem: the article looks into a class of problems which require identification of hidden regularities in adjustment of the bioelectrical activity of living organisms registered against various stimuli, through search and temporal l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::87671592d302aa1e464972a45d3f7a50
https://doi.org/10.1007/978-3-030-01821-4_15

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Tightly coupled algorithm based on nonlinear filtering in the state space with digital map navigation

Autor: O. G. Shcherban, Dmitriy S. Konev, Igor V. Shcherban

Publikováno v: Automatic Control and Computer Sciences. 49:347-353

This paper describes tightly coupled algorithms of measurements by coarse microelectromechanical sensors with data generated by GPS/GLONASS mobile onboard satellite navigation receivers. The synthesized algorithm ensures a highly accurate and high-fr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d01e8a777bb083cf3773efad89596637
https://doi.org/10.3103/s0146411615060097

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Algorithm for integrated inertial-satellite navigation systems

Autor: O. G. Shcherban, Igor V. Shcherban

Publikováno v: Automatic Control and Computer Sciences. 48:368-374

The integration of inertial and satellite navigation systems based on optimal linear stochastic filtration is characterized by considerable computational costs of synthesized algorithms. The proposed algorithm requires minimum computational effort an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec478238cfd886d6fada114fd7e5250c
https://doi.org/10.3103/s014641161406008x

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Universal model of a ground vehicle for realization of integrated inertial-satellite navigation systems

Autor: S. A. Tolmachev, Igor V. Shcherban

Publikováno v: Automatic Control and Computer Sciences. 48:159-166

Tight integration of satellite and strapdown inertial navigation systems is used for automotive vehicles and complicated by the necessity to design adequate models of the object of research. A universal stochastic model adequately reflecting the proc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::60baf4eafd771040156e35163f629c07
https://doi.org/10.3103/s0146411614030079

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