Zobrazeno 1 - 7
of 7
pro vyhledávání: '"K. S. Ushenin"'
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
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.
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
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
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
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
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