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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

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 the T...
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

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. When...
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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 to...
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

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...
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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...
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

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

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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Related Experiment Video

Updated: May 19, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

QRS detection based ECG quality assessment.

Dieter Hayn1, Bernhard Jammerbund, Günter Schreier

  • 1Department of Safety and Security, AIT Austrian Institute of Technology GmbH, eHealth, Reininghausstraße 13, A-8020 Graz, Austria.

Physiological Measurement
|August 21, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces four electrocardiogram (ECG) signal quality measures and algorithms for real-time feedback. A simplified algorithm shows promise for mobile ECG self-recordings, balancing accuracy and speed.

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiology

Background:

  • Immediate feedback on electrocardiogram (ECG) signal quality is valuable but lacks extensive literature on quality measures.
  • Existing methods for assessing ECG quality during recording are limited.

Purpose of the Study:

  • To implement and evaluate four novel ECG signal quality measures.
  • To develop and assess algorithms for real-time ECG quality feedback, suitable for both advanced and mobile platforms.

Main Methods:

  • Four ECG quality measures were developed: empty lead criterion (A), spike detection (B), lead crossing point (C), and QRS detection robustness (D).
  • An advanced algorithm integrated all four measures; a simplified Android-compatible algorithm excluded measure D.
  • Both algorithms were validated using the Computing in Cardiology Challenge 2011 dataset.

Main Results:

  • The advanced algorithm achieved 93.3% accuracy on the training set and 91.6% on the test set.
  • The simplified algorithm scored 0.834 (event 2) and 0.873 (event 3).
  • Measure D significantly increased computing time (nearly 5x) compared to others.

Conclusions:

  • ECG quality assessment algorithms can provide valuable real-time feedback.
  • The simplified algorithm is suitable for real-time ECG self-recording feedback, while QRS-based measures enhance performance with adequate computing power.