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Related Concept Videos

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...
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Electrocardiogram Fundamentals01:28

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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

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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.
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A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
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A Wavelet-Based ECG Delineation Method: Adaptation to an Experimental Electrograms with Manifested Global Ischemia.

Jakub Hejč1, Martin Vítek2,3, Marina Ronzhina2,3

  • 1Department of Biomedical Engineering, Brno University of Technology, Technická 12, 616 00, Brno, Czech Republic. xhejcj00@stud.feec.vutbr.cz.

Cardiovascular Engineering and Technology
|November 19, 2015
PubMed
Summary

This study introduces a novel wavelet-based method for electrocardiogram (ECG) delineation, accurately classifying P and T waves. The algorithm demonstrates high performance in both human and rabbit ECG signals, even during global ischemia.

Keywords:
ECG delineationElectrogramIschemiaIsolated rabbit heartWave detectionWavelet transform

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiology

Background:

  • Accurate delineation of electrocardiogram (ECG) components is crucial for diagnosing cardiac conditions.
  • Existing delineation methods may face challenges with experimental electrograms (EGs) and specific physiological states like ischemia.

Purpose of the Study:

  • To develop and adapt a novel wavelet-based ECG delineation algorithm.
  • To evaluate the algorithm's performance on long-term experimental electrograms from isolated rabbit hearts.
  • To assess the impact of global ischemia on delineation accuracy.

Main Methods:

  • A wavelet-based algorithm was developed for robust P and T wave classification.
  • The algorithm was tested on 263 rabbit EGs and human ECG signals from the CSEDB.
  • Performance metrics including sensitivity, positive predictivity, and standard deviation of errors were evaluated.

Main Results:

  • On CSEDB, delineation errors met specified criteria, comparable to published results.
  • In rabbit EGs, QRS detection achieved 99.87% sensitivity and 99.89% positive predictivity.
  • The algorithm effectively suppressed J-point elevation, with low delineation errors for QRS onset (SD=2.8ms) and offset (SD=4.3ms). T wave offset detection had SD=12.9ms and 99% sensitivity.
  • While error variance remained stable during ischemia, T and P wave detection failures increased.

Conclusions:

  • The wavelet-based ECG delineation method shows robust performance on human and rabbit ECG signals.
  • Adaptation to rabbit EGs requires precise parameter tuning due to spectral and timing differences.
  • Global ischemia impacts P and T wave detection, necessitating further refinement for such conditions.