Assessment of the Risk of Sudden Cardiac Death Using Machine Learning Methods

NI Yusupova, MR Bogdanov - Pattern Recognition and Image Analysis, 2023 - Springer
The work is devoted to the detection of the predictor of sudden cardiac death—atrial
fibrillation. Public databases of digitized electrocardiograms were used. Two approaches …

Discriminant analysis of variational pulsometry parameters

UI Silkina, VA Balandin - Russian Technological Journal, 2020 - rtj-mirea.ru
The article is devoted to an important applied problem-the exploration of heart rate variability
using linear discriminant analysis. Statistical methods are often used in modern medicine …

Automatic analysis of cardiological signals for diagnosis of ischemic heart disease

IN Bluzhas, AI Bastis, LI Gargasas… - …, 2004 - europepmc.org
A new noninvasive method for early detection of ischemic heart disease based on singular
value decomposition is introduced. The method automatically explores waveforms of an …

[PDF][PDF] Analysis of human eye movements during the plot inspection as a tool of assessment of local informative value of the 12-lead ECG

R Tadeusiewicz, P Augustyniak - Biocybernetics and Biomedical …, 2007 - Citeseer
The main goal of every method of automatic analysis, recognition and also understanding of
any medical signal is to follow the physician's method of observation and thinking …

Canonical mathematical model and information technology for cardio-vascular diseases diagnostics

V Shebanin, I Atamanyuk… - … The Experience of …, 2017 - ieeexplore.ieee.org
This paper is devoted to the development of mathematical model and information
technology for computer analysis of medical diseases based on investigations of …

Intelligent recognition of electrocardiograms using selective neuron networks and deep learning

M Mazurov - Advances in Artificial Systems for Medicine and …, 2018 - Springer
Proposed basic elements of neuron networks–selective neurons and selective perceptron.
Shown the efficiency of the use of these elements of neuron networks for many known …

Algorithm for the selection of informative symptoms in the classification of medical data

AK Nishanov, OB Ruzibaev, JC Chedjou… - … in Computation and …, 2020 - World Scientific
In this paper the issues like preprocessing of medical data, reclassification of the training
sets and determining the importance of classes, formation of reference tables, selection of …

[PDF][PDF] Анализ на данни от диагностични тестове

В Семерджиева, Б Георгиев… - Научни трудове на …, 2013 - researchgate.net
The paper presents some basic rules for evaluating the performance of pattern recognition
systems, as well as some recommendations on how to interpret and analyze the results of …

[PDF][PDF] Analysis of the agreement of CAVASCREEN system diagnostic suggestions with the real clinic state of a patient

A Sobotnicki, P Gibinski, S Hein, A Gacek… - Proceedings of the XI …, 2006 - itib.polsl.pl
The CAVASCREEN System is intended for mass screening of the cardiovascular system by
physicians as general practitioners or family doctors. This system supports the decision on …

Analysis of the Biological Signal for Automated Diagnostics

A Kot, A Nawrocka - 2020 21th International Carpathian Control …, 2020 - ieeexplore.ieee.org
Thanks to the rapid development of solutions in the field of medical technologies,
electrophysiological measurements have become a popular and reliable diagnostic method …