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Related Concept Videos

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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Electrocardiogram01:29

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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.
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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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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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Bode Plots Construction01:24

Bode Plots Construction

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The Bode plot is an essential tool in control system analysis, mapping the frequency response of a system through a magnitude plot and a phase plot, both against a logarithmic frequency axis. To construct a Bode plot, consider the transfer function H(ω):
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Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
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A Deviation Analysis Framework for ECG Signals Using Controlled Spatial Transformation.

Jiaming Chen1, Ali Valehi1, Fatemeh Afghah1

  • 1School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ.

... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics
|October 16, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new ECG analysis algorithm for early heart disorder prediction. The novel method achieves 96% accuracy, enabling timely patient warnings for potential cardiac abnormalities.

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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Machine Learning

Background:

  • Existing automated heart monitoring relies on supervised learning for ECG signal analysis.
  • Early detection of cardiac disorders is crucial for timely intervention and improved patient outcomes.

Purpose of the Study:

  • To develop a novel ECG processing algorithm for early prediction of heart disorders.
  • To introduce a patient-specific baseline deviation analysis for abnormality characterization.

Main Methods:

  • Developed a new ECG processing algorithm utilizing deviation analysis.
  • Created a patient-specific ECG baseline.
  • Employed a controlled non-linear transformation for feature space symmetry.

Main Results:

  • Achieved a classification accuracy of 96% on the MIT-BIH database.
  • The algorithm can trigger 'yellow alarms' indicating a 5-10% increased risk of abnormalities.
  • Demonstrated potential for early warning systems in health monitoring devices.

Conclusions:

  • The proposed ECG deviation analysis algorithm enables accurate early prediction of heart disorders.
  • This technology can enhance patient safety by facilitating preventive actions.
  • The method offers a significant advancement over current supervised learning approaches.