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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

2.2K
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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Pulse rhythm01:30

Pulse rhythm

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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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Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

549
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...
549
Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

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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,...
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Related Experiment Video

Updated: Jun 14, 2025

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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Screening for RV Dysfunction Using Smartphone ECG Analysis App: Validation Study with Acute Pulmonary Embolism

Yoo Jin Choi1, Min Ji Park1, Youngjin Cho2,3

  • 1Department of Emergency Medicine, Ajou University School of Medicine, 164, World cup-ro, Yeongtong-gu, Suwon-si 16499, Gyeonggi-do, Republic of Korea.

Journal of Clinical Medicine
|August 29, 2024
PubMed
Summary

An AI tool analyzing ECGs shows promise for detecting right ventricular dysfunction in acute pulmonary embolism (PE) patients. This AI biomarker significantly outperformed traditional markers and clinicians, potentially improving emergency care.

Keywords:
ECG analysis applicationRV dysfunctiondigital biomarkersemergency departmentpulmonary embolism

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A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
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Area of Science:

  • Cardiology
  • Artificial Intelligence in Medicine
  • Emergency Medicine

Background:

  • Acute pulmonary embolism (PE) necessitates prompt assessment of right ventricular (RV) dysfunction for effective patient management.
  • Echocardiography, the standard for RV dysfunction assessment, has limited availability in emergency departments (EDs).
  • An artificial intelligence (AI) tool analyzing electrocardiograms (ECGs) could offer a rapid, accessible method for identifying RV dysfunction in acute PE.

Purpose of the Study:

  • To evaluate the performance of a novel AI application (QCG-RVDys) in detecting RV dysfunction from ECGs in adult patients with acute PE.
  • To compare the diagnostic accuracy of the AI-generated biomarker against traditional biomarkers (Troponin I, ProBNP) and expert clinician assessments.

Main Methods:

  • Retrospective analysis of 116 adult acute PE patients treated in an ED between January 2021 and December 2023.
  • Utilized a smartphone application to analyze printed ECGs and generate a digital biomarker (QCG-RVDys) for RV dysfunction.
  • Compared the performance of QCG-RVDys against Troponin I, ProBNP, cardiologists, and emergency physicians using receiver operating characteristic-area under the curve (ROC-AUC).

Main Results:

  • The QCG-RVDys score demonstrated high effectiveness in identifying RV dysfunction, with an AUC of 0.895, significantly outperforming Troponin I (AUC: 0.692) and ProBNP (AUC: 0.655).
  • When binarized, QCG-RVDys achieved an AUC of 0.845, with a sensitivity of 91.2% and a specificity of 77.8%.
  • The AI biomarker significantly outperformed expert clinicians (AUCs 0.628-0.683) and exhibited a high negative predictive value (NPV) of 95.5%.

Conclusions:

  • The AI application shows significant promise for the rapid assessment of RV dysfunction in acute PE patients within the ED setting.
  • The high NPV of the QCG-RVDys biomarker could facilitate streamlined patient management.
  • This AI tool may reduce the need for echocardiography in emergency settings, improving diagnostic efficiency for acute PE.