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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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Instrumentation Amplifier01:25

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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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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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Imaging Studies for Cardiovascular System I:Echocardiography01:17

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Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion,...
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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
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Quality Aware Compression of Electrocardiogram Using Principal Component Analysis.

Rajarshi Gupta1

  • 1Instrumentation Engineering Section, Department of Applied Physics, University of Calcutta, 92 APC Road, Kolkata, India, 700009. rgaphy@caluniv.ac.in.

Journal of Medical Systems
|March 11, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a quality-aware electrocardiogram (ECG) compression method using principal component analysis (PCA). The technique effectively balances compression ratio and signal fidelity for patient monitoring and diagnostic applications.

Keywords:
Bit rate controlElectrocardiogram compressionError controlPrincipal component analysisQuality awareness

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Medical Informatics

Background:

  • Electrocardiogram (ECG) compression is vital for efficient patient monitoring and data management.
  • Ensuring reconstruction quality is crucial for the clinical acceptance of compressed ECG data in diagnostic decision-making.

Purpose of the Study:

  • To develop and validate a quality-aware compression method for single-lead ECG signals.
  • To optimize ECG compression by balancing bit rate control (BRC) and error control (EC) using principal component analysis (PCA).

Main Methods:

  • Pre-processing of ECG signals, followed by beat extraction and PCA decomposition.
  • Application of independent BRC or EC criteria to select optimal principal components, eigenvectors, and quantization levels.
  • Compression of selected components using a modified delta and Huffman encoder.

Main Results:

  • For BRC (CR threshold of 40), achieved average Compression Ratio (CR) of 50.74, PRDN of 16.22%, and MAE of 0.243 mV.
  • For EC (5% PRDN, 0.1 mV MAE), achieved average CR of 9.48, PRDN of 4.13%, and MAE of 0.049 mV.
  • Preserved reconstruction quality up to CR of 68.96 on specific datasets by extending BRC thresholds.

Conclusions:

  • The proposed quality-aware ECG compression method, utilizing PCA, demonstrates superior performance compared to recent works.
  • The method effectively achieves desired compression ratios or error margins, ensuring diagnostic utility.
  • This approach enhances the clinical applicability of ECG compression in patient monitoring systems.