Zobrazeno 1 - 10
of 17
pro vyhledávání: '"A. V. Ageykin"'
Autor:
A. V. Ageykin, V. L. Melnikov, T. A. Karavaeva, A. V. Vasilieva, E. V. Kolesova, A. Yu. Tychkov, T. N. Dmitrieva, V. N. Gorbunov, E. A. Merkulova
Publikováno v:
Обозрение психиатрии и медицинской психологии имени В.М. Бехтерева, Vol 0, Iss 4-2, Pp 52-59 (2020)
The article is devoted to the development and testing of methods for screening and diagnosis of risk factors for the development of neurotic disorders and their initial clinical manifestations. Modern approaches to medicine are aimed at the preventio
Externí odkaz:
https://doaj.org/article/dcfb42d196fd41989369bd103836ee73
Autor:
Pyotr P. Churakov, I. A. Chernov, Arkadiy P. Kuleshov, Alan K. Alimuradov, A. Yu. Tychkov, Alexey V. Ageykin
Publikováno v:
Proceedings of Moscow Institute of Physics and Technology. 13:4-22
Autor:
Alexey V. Ageykin, Andrey Kuzmin, Alan K. Alimuradov, Pyotr P. Churakov, Alexander Yu. Tychkov, Galina V. Vishnevskaya
Publikováno v:
International Journal of Embedded and Real-Time Communication Systems. 10:22-47
An automated algorithm for pitch frequency measurement for diagnostic systems of borderline mental disorders is developed. It is based on decomposition of a speech signal into frequency components using an adaptive method for analyzing of non-station
Autor:
Aleksey V. Ageykin, Viktor L. Melnikov
Publikováno v:
Medicine and Physical Education: Science and Practice. :22-25
Hyperlipidemia is a frequent companion to kidney disease, in some cases even reflecting the degree of activity of the renal process. Unfortunately, almost always the presence of lipid metabolism disorders of the renal patient impairs the prognosis bo
Autor:
Aleksey V. Ageykin, Galina V. Vishnevskaya, Alexander Yu. Tychkov, Alan K. Alimuradov, Anna N. Tychkova, Petr P. Churakov
Publikováno v:
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR).
The article provides an integrated analysis of practical application of virtual reality (VR) in healthcare. Modern VR products have been created for the diagnosis and treatment of post-traumatic syndrome, Alzheimer’s disease, alcohol dependence, ph
Autor:
Valery N. Gorbunov, Ekaterina K. Reva, Alan K. Alimuradov, Alexey V. Ageykin, Ekaterina A. Fokina, Alexander Yu. Tychkov, Viktoriya A. Mezhina, Angelina E. Zhurina
Publikováno v:
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR).
A comparative analysis of 18 popular speech databases used in the field of affective computing was carried out. A database containing unique audio recordings of Russian speech (words, phrases, and sentences), registered in natural experience of emoti
Publikováno v:
AIP Conference Proceedings.
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783030392246
An algorithm for adaptive segmentation to determine temporal patterns of speech signals reflecting human psycho-emotional states has been developed. The nature of the algorithm is the segmentation of speech into informative areas using adaptive decom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36877a8f38d5ad577041d78b1185ead7
https://doi.org/10.1007/978-3-030-39225-3_95
https://doi.org/10.1007/978-3-030-39225-3_95
Autor:
Vladimir Kalistratov, Alexey V. Ageykin, Alan K. Alimuradov, Svetlana Mitroshina, Alexander Yu. Tychkov, Andrey Kuzmin
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 426, Iss 22, Pp 257-262 (2018)
FRUCT
FRUCT
This paper describes a solution for borderline mental disorders detection. This approach is based on the ECG processing by Hilbert-Huang Transformation. The described approach allows to develop an additional module for mental disorders diagnostic sys
Autor:
Alexey V. Ageykin, Alan K. Alimuradov, Galina V. Vishnevskaya, Pyotr P. Churakov, Alexander Yu. Tychkov, Andrey Kuzmin
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 562, Iss 21, Pp 26-33 (2017)
FRUCT
FRUCT
An algorithm for pitch frequency measurement for pattern detecting systems of borderline mental disorders is developed. The essence of the algorithm is decomposition of a speech signal into frequency components using an adaptive method for analyzing