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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

7.1K
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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Instrumentation Amplifier01:25

Instrumentation Amplifier

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An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
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Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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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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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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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Research and improvement of ECG compression algorithm based on EZW.

Ziran Peng1, Guojun Wang2, Huabin Jiang3

  • 1School of Information Science and Engineering, Central South University, Changsha, 410083, China; Hunan Vocational College of Commerce, Changsha 410025, China.

Computer Methods and Programs in Biomedicine
|May 30, 2017
PubMed
Summary

This study optimizes the Embedded Zerotree Wavelet (EZW) algorithm for electrocardiograph (ECG) signal compression. By integrating lifting wavelet transformation and weighted coefficients, improved compression efficiency is achieved.

Keywords:
CompressionECG signalEZWWavelet transform

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Data Compression

Background:

  • Embedded Zerotree Wavelet (EZW) is an efficient coding method.
  • EZW's multilayer structure information coding can reduce signal compression ratio.
  • Optimizing EZW is crucial for enhancing compression efficiency in signal processing.

Purpose of the Study:

  • To optimize the Embedded Zerotree Wavelet (EZW) compression algorithm for electrocardiograph (ECG) signals.
  • To improve the compression ratio and efficiency of ECG signal compression.
  • To enhance the performance of wavelet-based compression techniques.

Main Methods:

  • Utilized lifting wavelet transformation for ECG signal processing.
  • Applied EZW compression coding algorithm with ECG information decomposition.
  • Determined feature detection values and weighted wavelet coefficients based on feature information.

Main Results:

  • The study successfully optimized the EZW algorithm for ECG signals.
  • Weighted wavelet coefficients based on feature information led to improved compression benefits.
  • The proposed method enhances the efficiency of ECG signal compression.

Conclusions:

  • The integration of lifting wavelet transformation and weighted coefficients improves EZW compression for ECG signals.
  • This optimized approach offers a more efficient method for ECG data compression.
  • Further research can explore advanced weighting strategies for enhanced compression performance.