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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

9.1K
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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Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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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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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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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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Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

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Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection.

Bin Liu1, Jikui Liu2, Guoqing Wang3

  • 1Cardiovascular Disease Center, First Hospital of Jilin University, Changchun 130021, Jilin, PR China.

Computers in Biology and Medicine
|September 10, 2014
PubMed
Summary
This summary is machine-generated.

A novel electrocardiogram (ECG) feature, PolyECG-S, uses polynomial fitting for accurate Myocardial Infarction (MI) detection. This method complements existing strategies by not relying on ST wave information, improving cardiac function analysis.

Keywords:
BioinformaticsElectrocardiogramHealth informaticsMyocardial infarctionPolynomial fitting functionPrediction

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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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Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Signal Processing

Background:

  • Electrocardiograms (ECG) are crucial for assessing heart function and diagnosing cardiac diseases.
  • Current automatic ECG analysis relies on geometric or frequency-domain features.
  • Detecting Myocardial Infarction (MI) often depends on ST segment analysis, which can be challenging with weak or undetectable segments.

Purpose of the Study:

  • To introduce a novel ECG feature, PolyECG-S, derived from polynomial fitting.
  • To evaluate the efficacy of PolyECG-S in detecting Myocardial Infarction (MI).
  • To explore PolyECG-S as a complementary tool for MI detection, especially when ST segments are not informative.

Main Methods:

  • Developed a new ECG feature, PolyECG-S, by fitting ECG signals with a 20th order polynomial function.
  • Assessed the fidelity of the PolyECG-S feature to the fitted ECG curve using the Akaike information criterion (AIC).
  • Evaluated the accuracy of PolyECG-S in detecting Myocardial Infarction (MI) on a test dataset.

Main Results:

  • The PolyECG-S feature demonstrated high similarity to the fitted ECG curve, as indicated by the AIC.
  • Achieved a 94.4% accuracy in detecting Myocardial Infarction (MI) on the test dataset.
  • PolyECG-S showed potential as a complementary method to the ST-elevation myocardial infarction (STEMI) strategy.

Conclusions:

  • The PolyECG-S feature effectively reconstructs the fitted ECG curve.
  • PolyECG-S offers a valuable, complementary approach for automatic cardiac disease diagnosis, particularly for MI detection.
  • This novel feature enhances existing ECG analysis methods, especially in cases with non-standard or difficult-to-interpret ST segments.