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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.
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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.
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Electrocardiogram01:29

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

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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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Disturbances in Heart Rhythm01:29

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Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
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Dysrhythmias V: Evaluating Dysrhythmias01:30

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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...
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Related Experiment Video

Updated: Feb 20, 2026

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation
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High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation

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Intracardiac electrogram envelope detection during atrial fibrillation using fast orthogonal search.

J Hashemi, M H Shariat, D Redfearn

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 25, 2017
    PubMed
    Summary

    This study introduces a new orthogonal-based method for precisely identifying the start and end of intracardiac electrogram (IEGM) activations during atrial fibrillation. This approach improves IEGM signal analysis by accurately detecting activation envelopes.

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    Area of Science:

    • Biomedical Engineering
    • Cardiovascular Electrophysiology
    • Signal Processing

    Background:

    • Intracardiac electrogram (IEGM) processing accuracy is vital for cardiac procedure success.
    • Current activation detection methods often overlook activation envelope start/end points, limiting diagnostic information.
    • Activation duration analysis is crucial for understanding complex cardiac phenomena like wave collisions.

    Purpose of the Study:

    • To develop a novel, fast, and accurate method for estimating the start and end of IEGM activations (activation envelope).
    • To improve the analysis of intracardiac recordings during atrial fibrillation by precisely defining activation boundaries.

    Main Methods:

    • Utilized wavelet decomposition to generate basis functions for signal modeling.
    • Developed a novel orthogonal-based approach for activation envelope estimation.
    • Validated the method against expert electrophysiologist annotations on a database of 24 atrial fibrillation IEGM recordings.

    Main Results:

    • The proposed method demonstrated promising performance in accurately estimating the activation envelope.
    • The approach showed excellent robustness to variations in training data.
    • Achieved high accuracy in determining the start and end points of IEGM activations.

    Conclusions:

    • The novel orthogonal-based method offers a significant advancement in IEGM activation detection.
    • Accurate activation envelope estimation can provide valuable insights into cardiac electrophysiology during atrial fibrillation.
    • This technique has the potential to enhance the interpretation of intracardiac signals in clinical settings.