Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

1.0K
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...
1.0K
Electrocardiogram01:29

Electrocardiogram

4.4K
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...
4.4K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

7.5K
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....
7.5K
Bode Plots Construction01:24

Bode Plots Construction

879
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):
879
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

10.0K
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...
10.0K
Phasor Relationships for Circuit Elements01:16

Phasor Relationships for Circuit Elements

762
Phasor representation is a powerful tool used to transform the voltage-current relationship for resistors, inductors, and capacitors from the time domain to the frequency domain. This transformation simplifies the analysis of alternating current (AC) circuits.
In the time domain, Ohm's law provides a fundamental relation between the current flowing through a resistor and the voltage across it:
762

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Detection of cognitive load using EEG signal and lifting wavelet transform with specific lead selection.

Biomedical physics & engineering express·2025
Same author

Artificial intelligence based approach for categorization of COVID-19 ECG images in presence of other cardiovascular disorders.

Biomedical physics & engineering express·2023
Same author

Circulant Singular Spectrum Analysis and Discrete Wavelet Transform for Automated Removal of EOG Artifacts from EEG Signals.

Sensors (Basel, Switzerland)·2023
Same author

QRS complex detection using stationary wavelet transform and adaptive thresholding.

Biomedical physics & engineering express·2022
Same author

Effect of Recasting on Physical Properties of Base Metal Alloys: An <i>In Vitro</i> Study.

Journal of International Society of Preventive & Community Dentistry·2018
Same author

Incidence of Endodontic Flare-ups and Its Related Factors: A Retrospective Study.

Journal of International Society of Preventive & Community Dentistry·2017
Same journal

Electrical impedance spectroscopy of young and old mouse multiple tissues.

Biomedical physics & engineering express·2026
Same journal

MELF: A multi-view ensemble learning framework for normative resting state EEG signal quality assessment.

Biomedical physics & engineering express·2026
Same journal

Rhythm-adaptive signal processing for effective ECG and PPG-based authentication under dynamic physiological conditions.

Biomedical physics & engineering express·2026
Same journal

Influence of storage temperature and humidity on entrance window deformations of phantoms for a horizontal beam geometry.

Biomedical physics & engineering express·2026
Same journal

Metamaterial-loaded waveguide antenna with integrated gradient-index cooling lens for abdominal subcutaneous adipose ablation.

Biomedical physics & engineering express·2026
Same journal

Adaptive deformation decomposition network for unsupervised medical image registration.

Biomedical physics & engineering express·2026
See all related articles

Related Experiment Video

Updated: Nov 4, 2025

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

1.2K

An enhanced T-wave delineation method using phasor transform in the electrocardiogram.

J Rahul1, L D Sharma2

  • 1Department of Electronics & Communication Engineering, Rajiv Gandhi University, India.

Biomedical Physics & Engineering Express
|May 25, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an enhanced T-wave delineation method using phasor transform for accurate electrocardiogram (ECG) analysis. The method precisely detects key ECG components, aiding in cardiovascular disease diagnosis and cardiac arrhythmia detection.

Keywords:
ECGQRS complexT-wavephasor transform

More Related Videos

Ablation of Ischemic Ventricular Tachycardia Using a Multipolar Catheter and 3-dimensional Mapping System for High-density Electro-anatomical Reconstruction
06:57

Ablation of Ischemic Ventricular Tachycardia Using a Multipolar Catheter and 3-dimensional Mapping System for High-density Electro-anatomical Reconstruction

Published on: January 31, 2019

15.0K
Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes hPSC-CMs Using Multi-electrode Arrays MEAs
11:13

Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes hPSC-CMs Using Multi-electrode Arrays MEAs

Published on: May 12, 2017

20.4K

Related Experiment Videos

Last Updated: Nov 4, 2025

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

1.2K
Ablation of Ischemic Ventricular Tachycardia Using a Multipolar Catheter and 3-dimensional Mapping System for High-density Electro-anatomical Reconstruction
06:57

Ablation of Ischemic Ventricular Tachycardia Using a Multipolar Catheter and 3-dimensional Mapping System for High-density Electro-anatomical Reconstruction

Published on: January 31, 2019

15.0K
Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes hPSC-CMs Using Multi-electrode Arrays MEAs
11:13

Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes hPSC-CMs Using Multi-electrode Arrays MEAs

Published on: May 12, 2017

20.4K

Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Signal Processing

Background:

  • Accurate detection of electrocardiogram (ECG) components is crucial for diagnosing cardiovascular diseases.
  • T-wave morphology changes are indicative of various cardiac arrhythmias.
  • Existing T-wave delineation methods may face challenges with noise and baseline drift.

Purpose of the Study:

  • To propose an enhanced T-wave delineation method for improved ECG analysis.
  • To accurately detect and locate delineation points before and after the T-wave.
  • To assess the method's efficacy in detecting cardiac arrhythmias related to T-wave morphology.

Main Methods:

  • Pre-processing using Discrete Wavelet Transform (DWT) and median filters to reduce noise and baseline drift.
  • Application of phasor transform for precise detection and localization of T-wave delineation points.
  • Validation on the QT Database (QTDB) for R-peak, T-peak, and Toff detection.

Main Results:

  • Achieved 100% sensitivity (Se%) and positive predictivity (+P%) for R-peak detection.
  • Demonstrated high performance in T-peak detection with Se% = 99.46 and +P% = 99.54.
  • Reported excellent results for Toff detection with Se% = 99.34 and +P% = 99.48.

Conclusions:

  • The proposed phasor transform-based T-wave delineation method offers high accuracy for key ECG component detection.
  • The method shows significant potential for reliable cardiac arrhythmia detection based on T-wave morphology.
  • This technique provides a robust tool for cardiovascular disease assessment using ECG signals.