Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ivan A. Kershner"'
Autor:
Olga S. Sushkova, Alexei A. Morozov, Ivan A. Kershner, Margarita N. Khokhlova, Alexandra V. Gabova, Alexei V. Karabanov, Larisa A. Chigaleichick, Sergei N. Illarioshkin
Publikováno v:
Sensors, Vol 23, Iss 3, p 1531 (2023)
This study was motivated by the well-known problem of the differential diagnosis of Parkinson’s disease and essential tremor using the phase shift between the tremor signals in the antagonist muscles of patients. Different phase shifts are typical
Externí odkaz:
https://doaj.org/article/6c09ec5756af4dd586f9effcb13e4b7d
Autor:
Yury Vladimirovich Obukhov, Ivan Andreevich Kershner, Renata Alekseevna Tolmacheva, Mikhail Vladimirovich Sinkin, Ludmila Alekseevna Zhavoronkova
Publikováno v:
Sensors, Vol 21, Iss 18, p 5989 (2021)
Interchannel EEG synchronization, as well as its violation, is an important diagnostic sign of a number of diseases. In particular, during an epileptic seizure, such synchronization occurs starting from some pairs of channels up to many pairs in a ge
Externí odkaz:
https://doaj.org/article/75acc31f4a2f47f88605dfc80a1691b4
Publikováno v:
2021 International Conference on Information Technology and Nanotechnology (ITNT).
Autor:
Olga S. Sushkova, Alexei A. Morozov, Alexandra V. Gabova, Ivan A. Kershner, Larisa A. Chigaleychik, Alexei V. Karabanov
Publikováno v:
2021 International Conference on Information Technology and Nanotechnology (ITNT).
Publikováno v:
Sensors, Vol 21, Iss 5989, p 5989 (2021)
Sensors
Volume 21
Issue 18
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 18
Sensors (Basel, Switzerland)
Interchannel EEG synchronization, as well as its violation, is an important diagnostic sign of a number of diseases. In particular, during an epileptic seizure, such synchronization occurs starting from some pairs of channels up to many pairs in a ge
Autor:
Yu. V. Obukhov, I. Komoltsev, N. V. Gulyaeva, Ivan A. Kershner, I. Maluta, K. Obukhov, A. Manolova
Publikováno v:
Pattern Recognition and Image Analysis. 27:114-121
The electroencephalographic (EEG) features of post traumatic epilepsy (PTE) are analyzed in the paper. The proposed method allows detection and classification of sleep spindles and epilepsy seizures. The experiments were conducted on a laboratory rat
Publikováno v:
Research in Computing Science. 121:37-42
Processing of a big experimental data is a problem in neurophysiologic researches. Epileptiform discharges (ED) detection in long EEG-records requires an algorithm for recognition of ED and sleep spindles (SS). Electroencephalogram recordings were pe
Publikováno v:
Proceedings of the V International conference Information Technology and Nanotechnology 2019.
In this paper, a technique for automated detecting diagnostic events in the video channel of video and electroencephalographic monitoring data is presented. The technique is based on the analysis of the quantitative features of facial expressions in
Publikováno v:
SITIS
This paper considers the problem of epileptiform activity recognition in EEG of rats before and after Traumatic Brain Injury (TBI). Recognition and classification was based on expert markup of EEG signals with epileptiform activity - Epileptiform Dis
Autor:
A. V. Karabanov, Yu. V. Obukhov, A. V. Gabova, Olga S. Sushkova, Ivan A. Kershner, K. Yu. Obukhov
Publikováno v:
Journal of Communications Technology and Electronics. 60:1109-1116
A method for the analysis of the time–frequency dynamics of the background brain activity is proposed and used to reveal three main features of the early-stage Parkinson disease (PD): hemispheric asymmetry of the time–frequency characteristics of