Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Elena N Pitsik"'
Autor:
Nikita S Frolov, Elena N Pitsik, Vladimir A Maksimenko, Vadim V Grubov, Anton R Kiselev, Zhen Wang, Alexander E Hramov
Publikováno v:
PLoS ONE, Vol 15, Iss 9, p e0233942 (2020)
Age-related changes in the human brain functioning crucially affect the motor system, causing increased reaction time, low ability to control and execute movements, difficulties in learning new motor skills. The lifestyle and lowered daily activity o
Externí odkaz:
https://doaj.org/article/036b0786ef5a4fb0ad5d42ba6b2765f5
Publikováno v:
Sensors, Vol 22, Iss 7, p 2537 (2022)
Large-scale functional connectivity is an important indicator of the brain’s normal functioning. The abnormalities in the connectivity pattern can be used as a diagnostic tool to detect various neurological disorders. The present paper describes th
Externí odkaz:
https://doaj.org/article/44d79d216cc24fc9a5a5a580dcf19512
Autor:
Oleg E. Karpov, Elena N. Pitsik, Semen A. Kurkin, Vladimir A. Maksimenko, Alexander V. Gusev, Natali N. Shusharina, Alexander E. Hramov
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 20; Issue 7; Pages: 5335
Artificial intelligence (AI) has revolutionized numerous industries, including medicine. In recent years, the integration of AI into medical practices has shown great promise in enhancing the accuracy and efficiency of diagnosing diseases, predicting
Autor:
Alexey N. Pavlov, Elena N. Pitsik, Nikita S. Frolov, Artem Badarin, Olga N. Pavlova, Alexander E. Hramov
Publikováno v:
Sensors, Vol 20, Iss 20, p 5843 (2020)
The problem of revealing age-related distinctions in multichannel electroencephalograms (EEGs) during the execution of motor tasks in young and elderly adults is addressed herein. Based on the detrended fluctuation analysis (DFA), differences in long
Externí odkaz:
https://doaj.org/article/81aebd8c4bd94753b68e7706c53510ca
Autor:
Vladimir A. Maksimenko, Semen A. Kurkin, Elena N. Pitsik, Vyacheslav Yu. Musatov, Anastasia E. Runnova, Tatyana Yu. Efremova, Alexander E. Hramov, Alexander N. Pisarchik
Publikováno v:
Complexity, Vol 2018 (2018)
We apply artificial neural network (ANN) for recognition and classification of electroencephalographic (EEG) patterns associated with motor imagery in untrained subjects. Classification accuracy is optimized by reducing complexity of input experiment
Externí odkaz:
https://doaj.org/article/37a406c8763d415ba6407aadb84c2ffc
Autor:
Elena N. Pitsik
Publikováno v:
Computational Biophysics and Nanobiophotonics.
Autor:
Elena N. Pitsik, Vladimir A. Maximenko, Semen A. Kurkin, Alexander P. Sergeev, Drozdstoy Stoyanov, Rositsa Paunova, Sevdalina Kandilarova, Denitsa Simeonova, Alexander E. Hramov
Publikováno v:
Chaos, Solitons & Fractals. 167:113041
Autor:
Parth Chholak, Guiomar Niso, Vladimir A. Maksimenko, Semen A. Kurkin, Nikita S. Frolov, Elena N. Pitsik, Alexander E. Hramov, Alexander N. Pisarchik
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-12 (2019)
Abstract The understanding of neurophysiological mechanisms responsible for motor imagery (MI) is essential for the development of brain-computer interfaces (BCI) and bioprosthetics. Our magnetoencephalographic (MEG) experiments with voluntary partic
Externí odkaz:
https://doaj.org/article/ec334cb18911454fbdc38031555b56f3