Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Denis A. Andrikov"'
Autor:
Denis A. Andrikov, Sinan V. Kurbanov
Publikováno v:
RUDN Journal of Engineering Research, Vol 25, Iss 2, Pp 111-120 (2024)
The method of recording electrocardiograms as a non-invasive research method is widely used in modern functional diagnostics. Spectral diagnostic methods based on Fourier transform and wavelet transform are being developed. For the purposes of identi
Externí odkaz:
https://doaj.org/article/c96127fc9b554fa2836b249f36bcc0e8
Autor:
Vadim V. Grubov, Sergei I. Nazarikov, Semen A. Kurkin, Nikita P. Utyashev, Denis A. Andrikov, Oleg E. Karpov, Alexander E. Hramov
Publikováno v:
IEEE Access, Vol 12, Pp 122168-122182 (2024)
Many approaches to automated epileptic seizure detection share a common challenge — the trade-off between recall and precision. This study aims to develop a novel approach for reducing false positive predictions in seizure detection tasks applied t
Externí odkaz:
https://doaj.org/article/e3e3b0f4523f46a2977338c7fdcfff30
Autor:
Vadim V. Grubov, Marina V. Khramova, Sergey Goman, Artem A. Badarin, Semen A. Kurkin, Denis A. Andrikov, Elena Pitsik, Vladimir Antipov, Elena Petushok, Nikita Brusinskii, Tatyana Bukina, Alexander A. Fedorov, Alexander E. Hramov
Publikováno v:
IEEE Access, Vol 12, Pp 49034-49049 (2024)
Neuroeducation seeks to implement knowledge about neural mechanisms of learning into educational practice and to understand the impact of learning itself. The crucial tasks in this field are to evaluate and to enhance cognitive abilities, that are us
Externí odkaz:
https://doaj.org/article/da0209b9b46f408f9a1085189e3d3723
Autor:
Oleg E. Karpov, Vadim V. Grubov, Vladimir A. Maksimenko, Semen A. Kurkin, Nikita M. Smirnov, Nikita P. Utyashev, Denis A. Andrikov, Natalia N. Shusharina, Alexander E. Hramov
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Epilepsy is one of the brightest manifestations of extreme behavior in living systems. Extreme epileptic events are seizures, that arise suddenly and unpredictably. Usually, treatment strategies start by analyzing brain activity during the s
Externí odkaz:
https://doaj.org/article/d24f930abce241a790b4dfbc5ba4ab58
Evaluation of Unsupervised Anomaly Detection Techniques in Labelling Epileptic Seizures on Human EEG
Autor:
Oleg E. Karpov, Matvey S. Khoymov, Vladimir A. Maksimenko, Vadim V. Grubov, Nikita Utyashev, Denis A. Andrikov, Semen A. Kurkin, Alexander E. Hramov
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5655 (2023)
Automated labelling of epileptic seizures on electroencephalograms is an essential interdisciplinary task of diagnostics. Traditional machine learning approaches operate in a supervised fashion requiring complex pre-processing procedures that are usu
Externí odkaz:
https://doaj.org/article/596e7f0b6185419c8a757dafed7e53bf
Autor:
Oleg E. Karpov, Denis A. Andrikov, Alexander E. Hramov, Vladimir A. Maksimenko, Vadim V. Grubov, Viachaslav E. Semerikov, Nikita Utaschev
Publikováno v:
Physical review. E. 103(2-1)
Extreme events are rare and sudden abnormal deviations of the system's behavior from a typical state. Statistical analysis reveals that if the time series contains extreme events, its distribution has a heavy tail. In dynamical systems, extreme event