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Related Concept Videos

Cardiomyopathy III: Hypertrophic Cardiomyopathy01:29

Cardiomyopathy III: Hypertrophic Cardiomyopathy

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Hypertrophic cardiomyopathy, or HCM, is an autosomal dominant genetic disorder characterized by asymmetric left ventricular hypertrophy without ventricular dilation. It is more common in men and is typically diagnosed in young, athletic adults.EtiologyHCM is primarily genetic and is caused by mutations in genes encoding sarcomeric proteins. Researchers have identified over 1400 mutations across at least 11 different genes. Among these, the most frequently occurring mutations are found in the...
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Electrocardiogram01:29

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An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
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Correlation between ECG and Cardiac Cycle01:25

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The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
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Cardiomyopathy I: Introduction and Classification01:25

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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...
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Cardiomyopathy II: Dilated Cardiomyopathy01:30

Cardiomyopathy II: Dilated Cardiomyopathy

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Dilated cardiomyopathy, or DCM, is a progressive myocardial disorder characterized by ventricular chamber dilation and contractile dysfunction.EtiologyVarious factors can cause DCM, including hypertension and heavy alcohol intake, which contribute to the weakening and enlargement of the heart muscle. Viral infections, such as Coxsackievirus B, adenoviruses, and influenza, can lead to DCM by causing inflammation and damage to heart tissue. Certain chemotherapeutic agents, including daunorubicin,...
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Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram.

Wei-Yin Ko1, Konstantinos C Siontis1, Zachi I Attia1

  • 1Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.

Journal of the American College of Cardiology
|February 22, 2020
PubMed
Summary

Artificial intelligence can detect hypertrophic cardiomyopathy (HCM) using electrocardiography (ECG) with high accuracy, especially in younger individuals. This AI model shows promise for future HCM screening applications.

Keywords:
artificial intelligencediagnostic performanceelectrocardiogramhypertrophic cardiomyopathy

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Area of Science:

  • Cardiology
  • Artificial Intelligence
  • Medical Diagnostics

Background:

  • Hypertrophic cardiomyopathy (HCM) is a significant, though uncommon, cause of sudden cardiac death.
  • Early and accurate detection of HCM is crucial for patient management and risk stratification.

Purpose of the Study:

  • To develop and validate an artificial intelligence (AI) approach for detecting hypertrophic cardiomyopathy (HCM) using 12-lead electrocardiography (ECG).

Main Methods:

  • A convolutional neural network (CNN) was trained on ECG data from 2,448 HCM patients and 51,153 controls.
  • The CNN model was validated and tested on separate datasets, evaluating its diagnostic performance using area under the curve (AUC), sensitivity, and specificity.

Main Results:

  • The AI model achieved a high AUC of 0.96 in the testing dataset, with 87% sensitivity and 90% specificity.
  • The model demonstrated strong performance across various subgroups, including patients with ECG-defined left ventricular hypertrophy and normal ECGs.
  • Performance was particularly notable in younger patients (95% sensitivity, 92% specificity).

Conclusions:

  • AI-driven ECG analysis can effectively detect HCM with high diagnostic performance.
  • The developed AI model shows potential for HCM screening, particularly in younger populations, but requires further validation.