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Related Concept Videos

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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ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

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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....
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Electrocardiogram01:29

Electrocardiogram

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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...
7.1K
Dysrhythmias III: Characteristics of Dysrhythmias01:29

Dysrhythmias III: Characteristics of Dysrhythmias

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Dysrhythmias, also known as arrhythmias, are irregular heart rhythms that result from abnormal electrical activity in the heart, affecting its ability to circulate blood efficiently. Tachyarrhythmias, a subset of dysrhythmias, are characterized by abnormally fast heart rates exceeding 100 beats per minute. Here are some types of tachyarrhythmias with their distinct ECG features:Sinus Tachycardia:Sinus tachycardia presents a regular heart rhythm with an increased rate of 101-180 beats per...
578
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

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

709
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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ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

939
Arrhythmias are disturbances in the heart's rhythm that lead to abnormal heartbeats. These irregularities can originate from different parts of the heart and are classified based on their origin and nature.
Types of Arrhythmias
Sinus Node Arrhythmias
Sinus Bradycardia: Originating from the sinoatrial (SA) node, sinus bradycardia involves slower impulses, resulting in a heart rate of less than 60 beats per minute (bpm). Causes include sleep, vagal stimulation, beta-blockers, hypothyroidism,...
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Related Experiment Video

Updated: Mar 1, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Classification of normal and arrhythmic ECG using wavelet transform based template-matching technique.

Wajahat Hassan1, Saqib Saleem2, Aamir Habib1

  • 1Department of Electrical Engineering, Institute of Space Technology, Islamabad, Pakistan.

JPMA. the Journal of the Pakistan Medical Association
|June 7, 2017
PubMed
Summary
This summary is machine-generated.

A new wavelet-based method effectively distinguishes normal heart rhythms from arrhythmias using electrocardiogram (ECG) data. This technique provides a clear delineation, aiding in automatic classification of cardiac conditions.

Keywords:
Arrhythmia, Electrocardiogram, Ventricular fibrillation.

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiology

Background:

  • Electrocardiogram (ECG) analysis is crucial for diagnosing heart conditions.
  • Distinguishing between normal and arrhythmic ECG signals presents a significant challenge.
  • Automated classification methods are needed for efficient and accurate diagnosis.

Purpose of the Study:

  • To introduce a novel wavelet-based template matching technique.
  • To extract distinguishing features from ECG signals for classification.
  • To enable automatic differentiation between normal and arrhythmic individuals.

Main Methods:

  • Utilized ECG data from the PhysioNet database, including normal sinus rhythm and arrhythmia databases.
  • Applied a wavelet decomposition-based template matching technique.
  • Analyzed phase difference indices and wavelet cross-spectrum magnitude within the 0.9-1.1 Hz frequency range.

Main Results:

  • Identified significantly larger group-averaged phase difference indices in arrhythmic subjects compared to normal individuals (p<0.05) within the 0.9-1.1 Hz range.
  • Demonstrated satisfactory delineation between normal and arrhythmic individuals using a scatter plot of phase difference index and wavelet cross-spectrum magnitude.
  • The study included 30 subjects: 15 normal and 15 with arrhythmias.

Conclusions:

  • The proposed wavelet decomposition-based template matching technique successfully delineates normal and arrhythmic ECG dynamics.
  • This method offers a promising approach for the automatic classification of cardiac arrhythmias.
  • The findings support the utility of wavelet analysis in understanding complex ECG signal variations.