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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

3.2K
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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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.
Parts of an ECG
An ECG utilizes electrodes on the skin...
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Pericarditis II: Clinical Features and Diagnostic Tests01:19

Pericarditis II: Clinical Features and Diagnostic Tests

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Pericarditis is distinguished by inflammation of the pericardium, the fibrous sac that encases the heart. It can be acute, lasting less than six weeks, or chronic, persisting for over three months. Understanding its clinical manifestations and diagnostic findings is crucial for timely and effective management.Clinical ManifestationsWhile pericarditis can be asymptomatic, it usually presents with characteristic symptoms such as:Chest Pain: The most characteristic symptom of pericarditis is chest...
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Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies01:22

Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies

49
The key clinical manifestations of Rheumatic heart disease (RHD) include several distinct cardiac symptoms.Carditis, a hallmark of acute rheumatic fever, involves inflammation of the heart's endocardium, myocardium, and pericardium. Chronic RHD often results from recurrent episodes of carditis. Its symptoms include the following:Murmurs are caused by valvular damage, especially to the mitral and aortic valves. Mitral stenosis or regurgitation is common, with characteristic heart murmurs...
49
Pulse rhythm01:30

Pulse rhythm

914
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

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Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
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Related Experiment Video

Updated: Sep 3, 2025

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
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A Deep Learning Algorithm for Detecting Acute Pericarditis by Electrocardiogram.

Yu-Lan Liu1, Chin-Sheng Lin1, Cheng-Chung Cheng1

  • 1Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan.

Journal of Personalized Medicine
|July 27, 2022
PubMed
Summary
This summary is machine-generated.

A new deep learning model (DLM) accurately detects acute pericarditis using electrocardiograms (ECGs), aiding emergency department diagnosis. An integrated AI strategy also helps differentiate pericarditis from ST-segment elevation myocardial infarction (STEMI).

Keywords:
ST-segment elevation myocardial infarctionacute pericarditisartificial intelligencedeep learning modelelectrocardiogram

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Area of Science:

  • Cardiology
  • Artificial Intelligence
  • Medical Diagnostics

Background:

  • Acute pericarditis and ST-segment elevation myocardial infarction (STEMI) share similar symptoms in emergency departments, complicating diagnosis.
  • Existing deep learning models (DLMs) show promise in identifying STEMI from 12-lead electrocardiograms (ECGs).

Purpose of the Study:

  • To develop a DLM for detecting acute pericarditis using ECGs.
  • To evaluate the DLM's performance in differentiating acute pericarditis from STEMI.

Main Methods:

  • Trained a DLM on 128 acute pericarditis ECGs and 66,633 general ED ECGs.
  • Compared DLM performance against human experts and traditional algorithms.
  • Developed an integrated DLM strategy combining pericarditis and STEMI detection models.

Main Results:

  • The pericarditis DLM achieved an AUC of 0.954, with 78.9% sensitivity and 97.7% specificity.
  • The integrated AI strategy demonstrated 73.7% sensitivity and 99.4% specificity for acute pericarditis detection.
  • False positives in the integrated strategy were linked to increased hospitalization risk for cardiac disorders.

Conclusions:

  • AI-powered algorithms can significantly assist clinicians in the early detection of acute pericarditis.
  • The developed DLM and integrated strategy show potential for differentiating acute pericarditis from STEMI using 12-lead ECGs.