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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

5.0K
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...
5.0K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

1.2K
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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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):
1.0K
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

1.4K
Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
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Related Experiment Video

Updated: Dec 19, 2025

High-Throughput Analysis of Optical Mapping Data Using ElectroMap
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High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

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Heat map visualization for electrocardiogram data analysis.

Haisen Guo1, Weidai Zhang1, Chumin Ni1

  • 1Department of Cardiology, Shantou Central Hospital, Shantou, 515000, Guangdong, China.

BMC Cardiovascular Disorders
|June 10, 2020
PubMed
Summary

This study demonstrates that heat maps effectively visualize electrocardiogram (ECG) data for left ventricular hypertrophy (LVH) with ST-segment elevation (STE). Heat mapping offers a comprehensive and feasible approach for analyzing ECG patterns.

Keywords:
Data analysisElectrocardiogramHeat mapVisualization

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Data Visualization

Background:

  • Traditional electrocardiogram (ECG) analysis relies on statistical functions and tabular/graphical data presentation.
  • Visual data representation of ECG findings is underutilized in current research.
  • Left ventricular hypertrophy (LVH) with ST-segment elevation (STE) requires effective visualization methods.

Purpose of the Study:

  • To explore the feasibility and clinical value of using heat maps for visualizing ECG data.
  • To analyze and display electrocardiographic left ventricular hypertrophy (LVH) with ST-segment elevation (STE) using heat maps.
  • To investigate novel methods for ECG data visualization.

Main Methods:

  • Collected electrocardiograms from 60 inpatients diagnosed with LVH and STE.
  • Utilized HemI 1.0 software to generate heat maps for visualizing STE in each ECG lead.
  • Performed cluster analysis on heat map data, visualized with tree maps.

Main Results:

  • Heat maps successfully visualized ST-segment shifts across all ECG leads for each patient.
  • Cluster analysis identified distinct groupings of STE leads, primarily right precordial leads (V1-V3).
  • 40% of cases met STEMI guideline thresholds for STE amplitude, clearly displayed via heat maps.

Conclusions:

  • Heat maps provide a comprehensive visualization of ECG data, displaying information from every lead.
  • Cluster analysis on heat maps offers valuable insights into ECG patterns and lead relationships.
  • Heat mapping presents a feasible and clinically valuable tool for ECG data visualization and analysis.