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

4.5K
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...
4.5K
Pulse rhythm01:30

Pulse rhythm

1.1K
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
1.1K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

10.2K
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...
10.2K
Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

76
Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
76

You might also read

Related Articles

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

Sort by
Same author

Correction: Error mitigation in LPWAN systems: A study on the efficacy of Hamming-coded RPW.

PloS one·2025
Same author

Increasing the Uptake of Breast and Cervical Cancer Screening Via the MAwar Application: Stakeholder-Driven Web Application Development Study.

JMIR formative research·2025
Same author

3.3-4.3 GHz efficient continuous class-F gallium nitride power amplifier based on simplified real frequency technique and harmonic tuning.

PloS one·2024
Same author

Error mitigation in LPWAN systems: A study on the efficacy of Hamming-coded RPW.

PloS one·2024
Same author

The expectations and acceptability of a smart nursing home model among Chinese older adults: a mixed methods study.

BMC nursing·2024
Same author

An Innovative Concept of a 3D-Coded Aperture Imaging System Proposed for Early Breast Cancer Detection.

Diagnostics (Basel, Switzerland)·2022

Related Experiment Video

Updated: Nov 10, 2025

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

24.5K

An Automated High-Accuracy Detection Scheme for Myocardial Ischemia Based on Multi-Lead Long-Interval ECG and

Ahmed Faeq Hussein1, Shaiful Jahari Hashim2, Fakhrul Zaman Rokhani2

  • 1Biomedical Engineering Department, Faculty of Engineering, Al-Nahrain University, Baghdad 10072, Iraq.

Sensors (Basel, Switzerland)
|April 3, 2021
PubMed
Summary

A new method using multi-lead electrocardiograms (ECG) accurately detects myocardial ischemia. This advanced ECG analysis offers high accuracy for identifying heart conditions, aiding cardiologists and enabling home screening.

Keywords:
CVDChoi-Williams distributionECGautomated heart disease detectionmedical screeningmulti-class SVMmyocardial infarction (MI) detection

More Related Videos

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
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

4.1K

Related Experiment Videos

Last Updated: Nov 10, 2025

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

24.5K
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
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

4.1K

Area of Science:

  • Cardiology and Biomedical Signal Processing

Background:

  • Cardiovascular Disease (CVD) is a leading cause of mortality, with myocardial ischemia requiring timely detection to prevent myocardial infarction.
  • Electrocardiogram (ECG) interpretation for conditions like ischemia often necessitates expert cardiologist analysis.
  • Existing algorithms for ECG analysis face challenges in accuracy and reliability for ischemia detection.

Purpose of the Study:

  • To propose a novel scheme for enhanced myocardial ischemia detection using multi-lead, long-interval ECG.
  • To improve the accuracy and reliability of identifying ischemic events through advanced signal processing and classification.

Main Methods:

  • Utilized multi-lead long-interval ECG data, focusing on ST and PR segments.
  • Employed Choi-Williams time-frequency distribution for extracting ischemic-related ECG features.
  • Implemented a multi-class Support Vector Machine (SVM) classifier trained on data from 92 normal and 266 patient records across four databases.

Main Results:

  • Achieved an overall accuracy of 99.09% in detecting myocardial ischemia.
  • Demonstrated high sensitivity (99.49%) and specificity (98.44%) in classification.
  • Validated the scheme's flexibility, validity, and reliability across diverse and unknown datasets.

Conclusions:

  • The proposed multi-lead ECG analysis scheme provides a robust and precise method for myocardial ischemia detection.
  • This approach can significantly assist cardiologists in diagnosing cardiac abnormalities.
  • The scheme holds potential for integration into home screening systems for rapid emergency evaluations.