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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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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.
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An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
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The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
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Related Experiment Video

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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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A ventricular activity cancellation algorithm based on event synchronous adaptive filter for single-lead

Jeon Lee1, Jung-hun Lee, Jong-wook Park

  • 1Daegu Haany University, Daegu, Republic of Korea. leejeon@yonsei.ac.kr

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel event-synchronous adaptive filter (ESAF) for precise atrial activity (AA) estimation by canceling ventricular activity (VA) in single-lead ECG. The ESAF algorithm offers improved performance and real-time implementation capabilities.

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06:57

Ablation of Ischemic Ventricular Tachycardia Using a Multipolar Catheter and 3-dimensional Mapping System for High-density Electro-anatomical Reconstruction

Published on: January 31, 2019

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Physiology
  • Signal Processing

Background:

  • Accurate atrial activity (AA) analysis is crucial for diagnosing arrhythmias.
  • Existing ventricular activity (VA) cancellation algorithms are limited for single-lead ECG.
  • Effective VA cancellation is a prerequisite for reliable AA detection.

Purpose of the Study:

  • To propose a novel VA cancellation algorithm for single-lead ECG.
  • To enhance the accuracy of atrial activity estimation, particularly in atrial fibrillation (AF).
  • To develop a computationally efficient and real-time implementable algorithm.

Main Methods:

  • Modeled thoracic ECG to develop a novel algorithm.
  • Utilized an event-synchronous adaptive filter (ESAF) with ECG as primary input and event-synchronous impulse train (ESIT) as reference.
  • Generated ESIT synchronized with VA by QRS complex detection.
  • Applied the algorithm to AA estimation in AF electrocardiograms.

Main Results:

  • The ESAF-based algorithm demonstrated superior performance compared to the averaged beat subtraction (ABS) method.
  • Achieved performance comparable to principal component analysis (PCA) and singular value decomposition (SVD) algorithms.
  • An expanded ESAF version showed reasonable performance for AF ECGs with bimorphic VAs.
  • The algorithm precisely estimates AA with low computational cost, suitable for real-time implementation.

Conclusions:

  • The proposed ESAF algorithm effectively cancels VA in single-lead ECG.
  • It enables precise AA estimation, outperforming existing methods like ABS.
  • The algorithm's real-time capability and efficiency suggest its potential to replace current standards.