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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

3.9K
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...
3.9K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

977
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...
977
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

9.5K
The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
9.5K
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

151
Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
151
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

6.0K
An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
6.0K
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias

203
Arrhythmia is a condition characterized by an irregular heart rhythm, with ECG changes that differ based on its origin and nature. The types of arrhythmias discussed below include atrial, junctional, and ventricular arrhythmias.Atrial ArrhythmiasPremature Atrial Complexes (PACs): PACs are early atrial beats caused by stress, caffeine, alcohol, electrolyte imbalances, hypoxia, hyperthyroidism, or certain medications (e.g., bronchodilators and decongestants). The ECG shows early P waves with an...
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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

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ECG reading differences demonstrated on two databases.

Richard E Gregg1, Ting Yang1, Stephen W Smith2

  • 1Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA.

Journal of Electrocardiology
|September 21, 2021
PubMed
Summary
This summary is machine-generated.

Manual electrocardiogram (ECG) interpretation styles significantly impact automated ECG algorithm training. Consistent interpretation of bundle branch blocks (BBB) was observed, unlike other abnormalities like old anterior myocardial infarction (MI).

Keywords:
12‑lead ECGECGG interpretation

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Area of Science:

  • Cardiology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Manual electrocardiogram (ECG) interpretation is a gold standard but suffers from inter-observer variability.
  • Automated ECG interpretation algorithms require consistent reference data for effective training.

Purpose of the Study:

  • To investigate the impact of varying manual ECG interpretation styles on the training of automated ECG interpretation algorithms.
  • To quantify how differences in human interpretation criteria affect algorithm performance.

Main Methods:

  • Developed two ECG databases with reference interpretations for eleven abnormalities.
  • Trained and tested an F1 algorithm across these databases, comparing within-database and cross-database performance.
  • Analyzed F1 scores for specific abnormalities like left bundle branch block (LBBB) and old anterior myocardial infarction (MI).

Main Results:

  • Algorithm performance (F1 scores) was generally higher when trained and tested on the same database.
  • Bundle branch blocks (BBB) showed consistent high F1 scores across all training and testing combinations.
  • Old anterior myocardial infarction (MI) exhibited variable F1 scores in cross-database comparisons, indicating interpretation discrepancies.

Conclusions:

  • Manual ECG interpretation criteria differ among experts for certain abnormalities, affecting automated algorithm training.
  • Bundle branch blocks (BBB) are interpreted more consistently by human experts compared to other ECG findings.