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Related Concept Videos

ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

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. When...
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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 to...
Electrocardiogram01:29

Electrocardiogram

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 the T...
Rectangular and Triangular Pulse Function01:19

Rectangular and Triangular Pulse Function

The unit rectangular pulse function is mathematically represented by a rectangular function centered at the origin with a height of one unit. This function is defined by two parameters: T, which specifies the center location of the pulse along the time axis, and τ, which determines the pulse duration.
For example, consider a rectangular pulse with a 5V amplitude, a 3-second duration, and centered at t=2 seconds. This pulse can be expressed using the rectangular function, written as,
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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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Related Experiment Video

Updated: Jun 20, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

Fractional wavelet for R-Wave detection in ECG signal.

A Charef1, F Abdelliche

  • 1Département d'Electronique, Université Mentouri, Route Ain El Bey, Constantine, Algeria. abdelliche_faycal@yahoo.fr

Critical Reviews in Biomedical Engineering
|September 11, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel fractional wavelet for R-wave detection in electrocardiogram (ECG) signals, achieving over 99% accuracy. The method enhances noise reduction for reliable cardiac rhythm analysis.

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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

Related Experiment Videos

Last Updated: Jun 20, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Medical Informatics

Background:

  • Accurate R-wave detection is crucial for analyzing electrocardiogram (ECG) signals and diagnosing cardiac arrhythmias.
  • Existing methods face challenges with noise reduction and precise detection in complex ECG data.

Purpose of the Study:

  • To propose a novel R-wave detection method for ECG signals using a fractional wavelet.
  • To enhance signal-to-noise ratio (SNR) and improve detection accuracy in noisy ECG data.

Main Methods:

  • A fractional wavelet, defined as the second derivative of the Cole-Cole distribution function, was developed.
  • Algorithm parameters were optimized by maximizing the SNR of the ECG signal.
  • Wavelet scales were selected based on ECG spectral characteristics.
  • Performance was validated using the MIT-BIH arrhythmia database.

Main Results:

  • The proposed fractional wavelet method achieved a high R-wave detection rate of approximately 99.56%.
  • The algorithm demonstrated effective noise reduction capabilities for ECG signals.
  • Optimized parameters and spectral-based scale selection contributed to high accuracy.

Conclusions:

  • The proposed fractional wavelet-based method offers a robust and accurate approach for R-wave detection in ECG signals.
  • This technique shows significant potential for improving automated cardiac arrhythmia analysis and diagnosis.