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Related Concept Videos

Ischemic Heart Disease: Overview01:17

Ischemic Heart Disease: Overview

2.0K
Ischemic heart disease occurs when the heart's blood supply dwindles, causing an ominous lack of oxygen and nutrients. This deficiency, stemming from reduced or obstructed blood flow, spells danger, leading to heart muscle damage and dysfunction.
Atherosclerosis, the primary malefactor, orchestrates this dangerous condition. It manifests as the accumulation of fatty deposits, akin to insidious plaques, within arterial walls. As time elapses, these plaques metamorphose, hardening and...
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Coronary Artery Disease I: Introduction01:30

Coronary Artery Disease I: Introduction

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Coronary Artery Disease (CAD): An Overview with Scientific InsightsCoronary Artery Disease (CAD), often referred to as C-A-D, is a prevalent blood vessel disorder classified under the broader category of atherosclerosis. Atherosclerosis is a pathological process characterized by the hardening and narrowing of arteries due to the accumulation of atherosclerotic plaques. These plaques are composed of cholesterol, fatty substances, inflammatory cells, calcium, and fibrin, reducing blood flow to...
475
Coronary Artery Disease II: Pathophysiology01:26

Coronary Artery Disease II: Pathophysiology

78
Coronary Artery Disease (CAD) originates from a series of events that impair the function of coronary arteries, the blood vessels responsible for delivering oxygen-rich blood to the heart muscle. The pathophysiology of CAD is closely linked to atherosclerosis, a chronic inflammatory and lipid-driven condition affecting the vascular endothelium.1. Endothelial DamageThe process begins with damage to the vascular endothelium, which serves as a protective barrier between the blood and the vessel...
78
Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

73
Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
73
Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

513
Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion,...
513
Cardiomyopathy I: Introduction and Classification01:25

Cardiomyopathy I: Introduction and Classification

119
Cardiomyopathy, or CMP, is a group of diseases affecting the myocardial structure, impairing its ability to pump blood effectively. This condition can lead to arrhythmias, heart failure, or sudden cardiac death.Cardiomyopathies are classified into primary and secondary categories:Primary Cardiomyopathy refers to conditions involving only the heart muscle that are often idiopathic (of unknown cause) or genetic. They primarily affect the myocardium without the involvement of other systemic...
119

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Related Experiment Video

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In Silico Clinical Trials for Cardiovascular Disease
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Machine Learning for Ischemic Heart Disease Diagnosis Aided by Evolutionary Computing.

Mohammad Alsaffar1, Abdullah Alshammari1, Gharbi Alshammari1

  • 1University of Ha'il, College of Computer Science and Engineering, Department of Computer Science and Information, Saudi Arabia.

Applied Bionics and Biomechanics
|November 29, 2021
PubMed
Summary
This summary is machine-generated.

A new hybrid diagnostic tool uses computational intelligence to accurately detect ischemic heart disease from clinical data and electrocardiogram images, improving diagnosis in resource-limited areas.

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Area of Science:

  • Cardiology
  • Artificial Intelligence
  • Medical Diagnostics

Background:

  • Heart disease is a leading cause of mortality globally, particularly in developing nations.
  • Accurate and timely diagnosis is often hindered by limited resources and healthcare professionals.
  • Technological advancements are crucial for improving diagnostic accuracy in patient care.

Purpose of the Study:

  • To develop a hybrid diagnostic tool for detecting ischemic heart disease.
  • To leverage computational intelligence techniques for analyzing patient data and electrocardiogram (ECG) signals.
  • To enhance diagnostic capabilities in areas with limited medical resources.

Main Methods:

  • Developed a hybrid diagnostic system integrating multiple machine learning techniques.
  • Utilized a database of clinical histories from approximately 1020 patients.
  • Analyzed 92 electrocardiogram (ECG) signal images using an Artificial Neural Network.

Main Results:

  • The hybrid tool achieved up to 97.01% accuracy in diagnosing ischemic heart disease.
  • The system effectively analyzed both clinical data and ECG images.
  • The tool demonstrated high diagnostic performance in preliminary testing.

Conclusions:

  • The developed hybrid tool shows significant potential for accurate ischemic heart disease diagnosis.
  • This technology can aid medical professionals, especially in resource-limited settings.
  • Positive feedback from medical experts validates the tool's effectiveness and clinical utility.