Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Andrey Samorodov"'
Autor:
Anastasia Moshkova, Andrey Samorodov, Ekaterina Ivanova, Ekaterina Fedotova, Natalia Voinova, Alexander Volkov
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 301-308 (2021)
Main objective of this research is studying facial activity of PD patients using an automated method for assessing facial movements based on calculating the movement signal kinematic characteristics. 16 PD patients and 16 participants in the control
Externí odkaz:
https://doaj.org/article/646594e58c6f4d20ab586f4cc04a8d95
Autor:
Anastasia Moshkova, Andrey Samorodov, Natalia Voinova, Alexander Volkov, Ekaterina Ivanova, Ekaterina Fedotova
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 27, Iss 1, Pp 172-178 (2020)
This work is devoted to the study of expression and interpretation of six basic emotions: anger, disgust, fear, happiness, sadness, surprise in patients with Parkinson's disease in comparison with the healthy control group of patients. The study invo
Externí odkaz:
https://doaj.org/article/37969c0a4d1f465694f760c6747e0151
Autor:
Anastasia Moshkova, Andrey Samorodov, Natalia Voinova, Alexander Volkov, Ekaterina Ivanova, Ekaterina Fedotova
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 321-327 (2020)
This work is devoted to the detection of Parkinson's disease (PD) by the kinematic parameters of hand movements using machine learning methods. Hand movements of PD patients (N16) and control group (N16) were recorded using a Leap Motion sensor. Thre
Externí odkaz:
https://doaj.org/article/8cc94a022588414ca70d495c102241cf
Autor:
Vyacheslav Kumov, Andrey Samorodov
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 240-246 (2020)
Screening patients with genetic diseases using automated facial image analysis is an urgent task. A method for recognizing genetic syndromes from a frontal image of a face has been developed and studied. The classification was made to 8 syndromes (An
Externí odkaz:
https://doaj.org/article/83736d88a75d4dbc9137988a9e6bce34
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 270-277 (2020)
according to American Cancer Society breast cancer is the most common cancer type in women. For most effective treatment choice and patients state of health prediction it is necessary to make a differential diagnosis to determine breast cancer subtyp
Externí odkaz:
https://doaj.org/article/48ae6c39f6f341f4b6ca84be12b17c1d
Autor:
George Kolokolnikov, Andrey Samorodov
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 622, Iss 25, Pp 168-175 (2019)
The paper is devoted to the study of strategies that can be applied to unbalanced data in solving the task of classifying white blood cells. The main goal of the proposed paper is to determine the best approach to combat data imbalance when working w
Externí odkaz:
https://doaj.org/article/353edcbef34d430f955c1e528f6ae4f2
Autor:
Valentyn Shapovalov, Andrey Samorodov
Publikováno v:
SSP Modern Law and Practice. 3:1-20
This article is devoted to the analysis of illegal drug circulation during the COVID-19 pandemic. The authors discuss the relationship between forensic pharmacy, pharmaceutical business management, and criminal law as a foundation for the interdiscip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb1ddc6666c4ebc8bd468c87547082c8
https://doi.org/10.53933/sspmlp.v3i1.80
https://doi.org/10.53933/sspmlp.v3i1.80
Autor:
Alexander Volkov, Ekaterina Ivanova, Andrey Samorodov, Natalia Voinova, Anastasia Moshkova, Ekaterina Yu. Fedotova
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 301-308 (2021)
FRUCT
FRUCT
Main objective of this research is studying facial activity of PD patients using an automated method for assessing facial movements based on calculating the movement signal kinematic characteristics. 16 PD patients and 16 participants in the control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7539f40e1030cabbe3ee7ab84afd800e
https://www.fruct.org/publications/fruct28/files/Mos.pdf
https://www.fruct.org/publications/fruct28/files/Mos.pdf
Autor:
Anastasia Moshkova, Andrey Samorodov, Ekaterina Ivanova, Margarita Ershova, Ekaterina Fedotova
Publikováno v:
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8368d4814795f854c541163205200c0
https://doi.org/10.5220/0010971200003123
https://doi.org/10.5220/0010971200003123
Autor:
G. N. Zmievskoy, N. P. Muravskaya, M. A. Murashko, Andrey Samorodov, I. P. Semchuk, Alexander Volkov
Publikováno v:
Biomedical Engineering. 53:1-5
The article presents the results of an experimental comparison of the accuracy characteristics of contactless photoplethysmographic systems. The hardware of the experimental setup, the principle of the software operation, the measurement technique, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1f63a85a02fd00f5f201c5ad8d545d0
https://doi.org/10.1007/s10527-019-09865-5
https://doi.org/10.1007/s10527-019-09865-5