Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Electrocardiogram

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...

Electrocardiogram Fundamentals

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...

Instrumentation Amplifier

Instrumentation Amplifier

An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...

Correlation between ECG and Cardiac Cycle

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...

You might also read

Related Articles

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

Sort by

Same author

The impact of education level on all-cause mortality in patients with atrial fibrillation.

Scientific reports·2024

Same author

Inhibition of the K<sub>Ca</sub>2 potassium channel in atrial fibrillation: a randomized phase 2 trial.

Nature medicine·2023

Same author

A phase 1 trial of AP30663, a K<sub>Ca</sub>2 channel inhibitor in development for conversion of atrial fibrillation.

British journal of clinical pharmacology·2023

Same author

All-cause mortality trends in patients hospitalized for atrial fibrillation in Sweden: Role of age, stroke risk, and education.

International journal of cardiology. Heart & vasculature·2022

Same author

The contribution of intermittent handheld electrocardiogram and continuous electrocardiogram monitoring with an implantable loop recorder to detect incident and recurrent atrial fibrillation during 1 year after coronary artery bypass graft surgery: A prospective cohort study.

Heart rhythm O2·2021

Same author

First Clinical Study with AP30663 - a K<sub>Ca</sub> 2 Channel Inhibitor in Development for Conversion of Atrial Fibrillation.

Clinical and translational science·2020

Search research articles

Related Experiment Video

Updated: Jun 26, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

PC-Based ECG waveform recognition-validation of novel software against a reference ECG database.

Corina-Dana Dota¹, Nils Edvardsson, Bo Skallefell

¹AstraZeneca R&D Mölndal, Mölndal, Sweden. Corina.Dota@astrazeneca.com

Annals of Noninvasive Electrocardiology : the Official Journal of the International Society for Holter and Noninvasive Electrocardiology, Inc

|January 16, 2009

Summary

EClysis software accurately measures PQRST points in electrocardiograms (ECGs), showing high agreement with established reference values. This PC-based ECG analysis tool demonstrates reliability for both normal and pathological heart rhythms.

Related Experiment Videos

Last Updated: Jun 26, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

Area of Science:

Cardiology
Medical Software
Electrocardiography

Background:

PC-based electrocardiogram (ECG) measurements require reliable handling of both normal and pathological ECGs.
EClysis software was evaluated against the Common Standards for Quantitative Electrocardiography (CSE) database for ECG measurement accuracy.

Purpose of the Study:

To assess the accuracy and reliability of PC-based ECG measurements using EClysis software.
To compare EClysis software's performance against established reference values from the CSE database.

Main Methods:

Utilized digital ECGs (12 leads, 500 Hz) from the CSE project, including 125 normal and pathological cases.
Compared EClysis's automated PQRST point measurements against median values from 11 computer programs and 5 cardiologists.
EClysis processed all ECGs automatically without user intervention.

Main Results:

PQRST points were accurately detected in most ECGs, with minor issues in specific cases of AV block.
EClysis is not designed for atrial activity detection in atrial fibrillation or flutter, which occasionally impacted QRS/T offset measurements.
High regression coefficients (above 0.95) and 95% confidence intervals indicated strong agreement between EClysis and CSE reference values.

Conclusions:

PC-based detection and analysis of PQRST points using EClysis demonstrate a high level of agreement with CSE database reference values.
EClysis software provides a reliable tool for quantitative electrocardiography measurements.