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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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Correlation between ECG and Cardiac Cycle01:25

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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.
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...
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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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Related Experiment Video

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Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
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CardioSim: a PC-based cardiac signal simulator using segmental modeling of electrocardiogram.

Anumita Mitra1, Palash Kumar Kundu1, Rajarshi Gupta2

  • 1Department of Electrical Engineering, Jadavpur University, Kolkata, India.

Computer Methods in Biomechanics and Biomedical Engineering
|October 20, 2022
PubMed
Summary

CardioSim generates realistic synthetic electrocardiogram (ECG) waveforms in real-time. This advanced ECG modeling tool offers improved performance for signal representation and simulation.

Keywords:
ECG modelingECG simulatorFourier ModelRMSEbeat segmentation

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Area of Science:

  • Biomedical Engineering
  • Medical Signal Processing

Background:

  • Electrocardiogram (ECG) modeling is crucial for signal representation, compression, and synthetic ECG generation.
  • Existing methods require robust tools for accurate waveform simulation.

Purpose of the Study:

  • To introduce CardioSim, a PC-based system for real-time synthetic ECG waveform generation.
  • To evaluate CardioSim's performance in generating diverse and accurate ECG rhythms.

Main Methods:

  • CardioSim utilizes a two-stage process: reference model parameter database development via Fourier model and synthetic ECG generation.
  • It employs normal and abnormal ECG records from PhysioNet's mitdb database.
  • The system offers both interface-based visualization and hardware-based waveform generation.

Main Results:

  • Generates ten distinct ECG waveforms (one healthy, nine diseased rhythms) from a single dynamic model.
  • Achieves high reconstruction performance with mean Signal-to-Noise Ratio (SNR) up to 97.22% (P) and low Mean Squared Error (MSE) as low as 0.25 × 10⁻⁶ (R).
  • Demonstrates superior performance metrics compared to existing ECG modeling research.

Conclusions:

  • CardioSim enhances performance parameters in ECG modeling and simulation.
  • The tool serves as a valuable self-learning resource for medical students.
  • It facilitates flexible user-defined parameter control for synthetic ECG generation.