AIMC Topic: Models, Cardiovascular
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Symbolic features and classification via support vector machine for predicting death in patients with Chagas disease.
Computers in biology and medicine
Jan 22, 2016
This paper introduces a technique for predicting death in patients with Chagas disease using features extracted from symbolic series and time-frequency indices of heart rate variability (HRV). The study included 150 patients: 15 patients who died and...
Bayesian network modeling: A case study of an epidemiologic system analysis of cardiovascular risk.
Computer methods and programs in biomedicine
Dec 30, 2015
An extensive, in-depth study of cardiovascular risk factors (CVRF) seems to be of crucial importance in the research of cardiovascular disease (CVD) in order to prevent (or reduce) the chance of developing or dying from CVD. The main focus of data an...
Immediate hemodynamic changes after revascularization of complete infrarenal aortic occlusion: A classic issue revisited.
Medical hypotheses
Dec 18, 2015
Chronic total occlusion of the infrarenal aorta (CTOA) is a rare disease, characterized by severe impairment of limb perfusion. It is advocated that revascularization may improve survival rates, presumably due to improved cardiovascular performance; ...
Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System.
PloS one
Oct 13, 2015
This study presents a 2-stage heartbeat classifier of supraventricular (SVB) and ventricular (VB) beats. Stage 1 makes computationally-efficient classification of SVB-beats, using simple correlation threshold criterion for finding close match with a ...
Fuzzy Rule-Based Classification System for Assessing Coronary Artery Disease.
Computational and mathematical methods in medicine
Sep 13, 2015
The aim of this study was to determine the accuracy of fuzzy rule-based classification that could noninvasively predict CAD based on myocardial perfusion scan test and clinical-epidemiological variables. This was a cross-sectional study in which the ...
Analysis of short-term heart rate and diastolic period variability using a refined fuzzy entropy method.
Biomedical engineering online
Jul 1, 2015
BACKGROUND: Heart rate variability (HRV) has been widely used in the non-invasive evaluation of cardiovascular function. Recent studies have also attached great importance to the cardiac diastolic period variability (DPV) examination. Short-term vari...
Computer Simulation
Female
Aged
Adult
Humans
Algorithms
Statistics, Nonparametric
Stochastic Processes
Normal Distribution
Entropy
Diastole
Models, Cardiovascular
Coronary Stenosis
Periodicity
Male
Middle Aged
Fuzzy Logic
Photoplethysmography
Heart Rate
Electrocardiography
Nonlinear Dynamics
Signal-To-Noise Ratio
Comparison of model-based and expert-rule based electrocardiographic identification of the culprit artery in patients with acute coronary syndrome.
Journal of electrocardiology
May 8, 2015
BACKGROUND AND PURPOSE: Culprit coronary artery assessment in the triage ECG of patients with suspected acute coronary syndrome (ACS) is relevant a priori knowledge preceding percutaneous coronary intervention (PCI). We compared a model-based automat...
Noninvasive reconstruction of cardiac transmembrane potentials using a kernelized extreme learning method.
Physics in medicine and biology
Mar 27, 2015
Non-invasively reconstructing the cardiac transmembrane potentials (TMPs) from body surface potentials can act as a regression problem. The support vector regression (SVR) method is often used to solve the regression problem, however the computationa...
Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters.
IEEE transactions on bio-medical engineering
Feb 10, 2015
Automatic processing and accurate diagnosis of pathological electrocardiogram (ECG) signals remains a challenge. As long-term ECG recordings continue to increase in prevalence, driven partly by the ease of remote monitoring technology usage, the need...
Stabilization of the human heartbeat using adaptive controller-based optimized deep policy gradient.
Computers in biology and medicine
Aug 1, 2025
Stabilizing the cardiac rhythm is imperative for preserving cardiovascular health and preventing life-threatening arrhythmias. The stabilization of the heartbeat through traditional control methods presents significant challenges due to the intricate...
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