Výsledky vyhledávání - "D M, Lazurenko"

The Synthesis of an Adaptive Filter for Automatic Detection and Time Localization of Premotor EEG Patterns of the Human Brain

Autor: D. M. Lazurenko, I. V. Shcherban, N. E. Kirilenko, O. G. Shcherban

Publikováno v: INFORMACIONNYE TEHNOLOGII. 27:484-493

An adaptive low-pass filter has been synthesized for automatic patterns detection of arbitrary mental movements in records of multidimensional electroencephalograms (EEG). The filter is based on the multivariate singular spectrum analysis. The effect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d261450867c17903964b1693b7e55737
https://doi.org/10.17587/it.27.484-493

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A Novel Neural Network-Based Approach to Classification of Implicit Emotional Components in Ordinary Speech

Autor: V. N. Kiroy, D. G. Shaposhnikov, O. M. Bakhtin, Anton Igorevich Saevskiy, I. E. Shepelev, D. M. Lazurenko

Publikováno v: Optical Memory and Neural Networks. 30:26-36

The neural network-based approach to the classification of implicit emotional components in ordinary speech is considered. Mel-frequency cepstral coefficients were used as feature vectors, and the multilayer perceptron with one hidden layer was used

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::db729163cbd6e230b174d39d91e6e260
https://doi.org/10.3103/s1060992x21010057

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Search for Informative Frequency Range and EEG Time Boundaries for Solving the Problem of Motor Imagery Patterns Classification

Autor: I. E. Shepelev, Anton Igorevich Saevskiy, D. M. Lazurenko, D. G. Shaposhnikov

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6479e49fc43aadb1d72b89fa33881f4d
https://doi.org/10.1007/978-3-030-91581-0_8

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Motor Imagery-Related Quasi-Stationary EEG Patterns for Neural Interfaces

Autor: I. E. Shepelev, Pavel Dmitrievich Shaposhnikov, V. N. Kiroy, D. M. Lazurenko, D. G. Shaposhnikov

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b5354b7b45e74bf078e4778f55b5062e
https://doi.org/10.1007/978-3-030-91581-0_9

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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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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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Electrographic Properties of Movement-Related Potentials

Autor: V. N. Kiroy, E. V. Aslanyan, O. M. Bakhtin, N. R. Minyaeva, I. E. Shepelev, D. M. Lazurenko

Publikováno v: Neuroscience and Behavioral Physiology. 48:1078-1087

The amplitude and spectral characteristics of the EEG recorded in 24 essentially healthy subjects during real and mental performance of hand, leg, and tongue movements were studied. Execution of movements was found to be accompanied by increases in t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8839f5e6e5c900b57f46d44c9c007e86
https://doi.org/10.1007/s11055-018-0670-9

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A Novel Neural Network Approach to Creating a Brain–Computer Interface Based on the EEG Patterns of Voluntary Muscle Movements

Autor: N. R. Minyaeva, I. E. Shepelev, O. M. Bakhtin, D. M. Lazurenko, V. N. Kiroy, E. V. Aslanyan

Publikováno v: Neuroscience and Behavioral Physiology. 48:1145-1157

A novel neural network approach to the real-time detection and classification of temporospatial EEG patterns accompanying performance of motor imagery (imaginary movements) based on a local approximation method using radial basis functions and an ori

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bbf858b0fd4c27e571b82778c3253ce0
https://doi.org/10.1007/s11055-018-0679-0

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