Výsledky vyhledávání - "K. S. Ushenin"

Akademický článek

Does it make sense to study heart rate variability in episodes of paroxysmal atrial fibrillation during the 24-hour electrocardiographic monitoring?

Autor: M. V. Arkhipov, N. S. Markov, Ya. G. Bozhko, K. S. Ushenin, O. E. Solovieva

Publikováno v: Российский кардиологический журнал, Vol 27, Iss 7 (2022)

Aim. To study the characteristics of heart rate variability (HRV) in episodes of paro xysmal atrial fibrillation (AF) and sinus rhythm (SR) during the 24-hour Holter electro cardiographic (ECG) monitoring and to assess the presence and nature of thei

Externí odkaz: https://doaj.org/article/c47c3cf37ca848db86e103681e3f343f

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Deriving electrophysiological phenotypes of paroxysmal atrial fibrillation based on the characteristics of heart rate variability

Autor: N S Markov, M V Arkhipov, O E Solovyova, K S Ushenin, Y G Bozhko

Publikováno v: Kazan medical journal. 102:778-787

Aim. To analyze heart rate variability of patients with paroxysmal atrial fibrillation and identify electrophysiological phenotypes of the disease by using methods of exploratory analysis of twenty-four-hour electrocardiographic (Holter) recordings.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ca616f36d34d11c71a7d5d732f81b609
https://doi.org/10.17816/kmj2021-778

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Cardiac segmentation on magnetic resonance imaging data with deep learning methods

Autor: A. A. Razumov, K. S. Ushenin, Y. N. Tya-Shen-Tin

Publikováno v: PHYSICS, TECHNOLOGIES AND INNOVATION (PTI-2019): Proceedings of the VI International Young Researchers’ Conference.

The study compared UNet, ENet, and BoxENet convolutional neural network architectures that provide the various approach of increasing of the receptive field. The analysis employed an Automated Cardiac Diagnosis challenge dataset containing the magnet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cf1e4b5c2e5f11a61da2ab4af260c3b0
https://doi.org/10.1063/1.5134397

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Segmentation and classification of mast cells in histological images with deep learning

Autor: Ruslana Manbatchurina, Ksenia Simonova, Alexander Karimov, K. S. Ushenin, Y. S. Khramtsova, Irina Donets, A. R. Mishin, A. A. Vlasova

Publikováno v: PHYSICS, TECHNOLOGIES AND INNOVATION (PTI-2019): Proceedings of the VI International Young Researchers’ Conference.

Mast cells are an important part of the human immune system. They are also found in pathological pathways of various diseases. Their activity in tissues may be analyzed with a histopathological examination. In this preliminary study, we apply a deep

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::00285fb2af6ba1f240a00b5595a34d3d
https://doi.org/10.1063/1.5134371

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Hyperparameter optimization for autoencoders that perform content-based image retrieval

Autor: Y. N. Tya-Shen-Tin, A. A. Razumov, K. S. Ushenin

Publikováno v: PHYSICS, TECHNOLOGIES AND INNOVATION (PTI-2019): Proceedings of the VI International Young Researchers’ Conference.

Content-based image retrieval problem is important in a wide range of computer science-based applications. One of the best solutions for this problem is the application of deep autoencoders. The accuracy of a neural network may be significantly depen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c55d5e6b1a3afcae4276bc18a8a1c4e
https://doi.org/10.1063/1.5134411

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In silico study of the aging of cardiomyocytes in human and canine atriums

Autor: D. V. Shmarko, Tatyana Nesterova, K. S. Ushenin

Publikováno v: PHYSICS, TECHNOLOGIES AND INNOVATION (PTI-2019): Proceedings of the VI International Young Researchers’ Conference.

The electrophysiological properties of cardiomyocytes change with age, affecting their arrhythmogenic activity and sensitivity to drugs. The literature on canine atriums has described changes in transmembrane currents and action potential that occur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7977e78e5b591714edb3970983b8a482
https://doi.org/10.1063/1.5134382

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A modified mathematical model of the anatomy of the cardiac left ventricle

Autor: Leonid B. Katsnelson, Anastasia Bazhutina, A. A. Koshelev, K. S. Ushenin, S. F. Pravdin, Olga Solovyova

Publikováno v: Biophysics. 61:785-792

A modification of the mathematical model of the shape and fiber direction field of the left cardiac ventricle is presented. The model was developed based on the idea of nested spiral surfaces. The ventricle is composed of surfaces that model myocardi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d5a21d0b4ea9549312bc5f04c20034d9
https://doi.org/10.1134/s0006350916050134

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