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

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...
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...
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...
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...

You might also read

Related Articles

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

Sort by
Same author

"Dual-Boosting" Strategy to Enhance Radical Generation of Photosensitizer for Mitochondria-Targeted Phototherapy.

Research (Washington, D.C.)ยท2026
Same author

Dynamic Manipulation Skill Learning for Tactile Myoelectric Prosthetic Hands in Tool Handling.

Cyborg and bionic systems (Washington, D.C.)ยท2026
Same author

A Multi-Scenario Coupled Simulation of Diet-Land Systems: Diet-Land Supply-Demand Matching and Responses from the Historical-to-Future.

Foods (Basel, Switzerland)ยท2026
Same author

SPD-DANN: An SPD manifold unsupervised domain adaptation method for cross subject motor imagery EEG decoding.

Neural networks : the official journal of the International Neural Network Societyยท2026
Same author

Updated subnational estimates of Water, Sanitation and Hygiene access in Low- and Middle-Income countries: a spatially referenced hierarchical ordinal multinomial modeling analysis using R template model builder.

Research squareยท2026
Same author

Trends and future of the disease burden of malignant neoplasms of bone and articular cartilage in China from 1990 to 2023: An analysis based on the Global Burden of Disease 2023.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncologyยท2026

Related Experiment Video

Updated: Jun 26, 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

[Prony analysis method about P-peak detection in ECG].

Ran Li1, Bin Fang, Yi Shen

  • 1Beijing University of Technology, Beijing 100022, China. lee8272@hotmail.com

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|January 27, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Electrocardiograph (ECG) auto-analysis method for P-peak detection. The Prony analysis-based algorithm achieves 97.8% reliability in accurately locating P-peaks, improving upon existing R-peak focused techniques.

More Related Videos

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

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals
08:22

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals

Published on: April 26, 2024

Related Experiment Videos

Last Updated: Jun 26, 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

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

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals
08:22

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals

Published on: April 26, 2024

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiology

Context:

  • Electrocardiograph (ECG) auto-analysis technology has advanced significantly.
  • Current research predominantly focuses on R-peak detection, with fewer methods addressing P-peak detection.
  • Accurate P-peak identification is crucial for comprehensive ECG interpretation.

Purpose:

  • To present a novel and reliable method for P-peak detection in ECG signals.
  • To utilize Prony analysis for ECG signal separation and subsequent P-peak detection.
  • To evaluate the performance of the proposed algorithm using established datasets.

Summary:

  • A new algorithm based on Prony analysis is proposed for P-peak detection in ECG signals.
  • The method involves separating the ECG signal first, followed by detection.
  • Experimental validation using the MIT Arrhythmia Database demonstrates high reliability.

Impact:

  • The developed algorithm achieves a 97.8% reliability rate for accurate P-peak localization.
  • This method offers a significant improvement in P-peak detection accuracy compared to existing approaches.
  • Enhances the capabilities of automated ECG analysis tools for clinical applications.