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...

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...

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...

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...

Bode Plots Construction

Bode Plots Construction

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):

Cardiac Action Potential

Cardiac Action Potential

Cardiac action potentials are essential for proper heart function, enabling the rhythmic contractions needed for adequate blood circulation. Nodal cells and Purkinje fibers, specialized for electrical conduction, generate these action potentials.
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials

You might also read

Related Articles

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

Sort by

Same author

Trends in characteristics and outcomes following primary percutaneous coronary intervention: insights from a nationwide analysis.

BMC cardiovascular disorders·2026

Same author

RoadSens-4M: A Multimodal Smartphone & Camera Dataset for Holistic Road-way Analysis.

Scientific data·2026

Same author

Anomaly detection in smart power grids with graph-regularized MS-SVDD: a multimodal subspace learning approach.

Scientific reports·2026

Same author

Perception-Inspired Network for Stereo Image Quality Assessment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same author

A multimodal drowsiness dataset using video, biometric, and behavioral data.

Scientific data·2026

Same author

Correction: Senceroglu et al. Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media. <i>Pharmaceuticals</i> 2022, <i>15</i>, 1405.

Pharmaceuticals (Basel, Switzerland)·2026

Search research articles

Related Experiment Video

Updated: Sep 24, 2025

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

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

Published on: April 11, 2025

Blind ECG Restoration by Operational Cycle-GANs.

Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince

IEEE Transactions on Bio-Medical Engineering

|May 3, 2022

Summary

This study introduces a novel Cycle-GAN approach for blind electrocardiogram (ECG) restoration, improving signal quality to a clinical level. This method enhances ECG diagnosis accuracy, overcoming limitations of traditional denoising techniques.

More Related Videos

Optocardiography and Electrophysiology Studies of Ex Vivo Langendorff-perfused Hearts

Optocardiography and Electrophysiology Studies of Ex Vivo Langendorff-perfused Hearts

Published on: November 7, 2019

Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts

Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts

Published on: July 18, 2025

Related Experiment Videos

Last Updated: Sep 24, 2025

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

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

Published on: April 11, 2025

Optocardiography and Electrophysiology Studies of Ex Vivo Langendorff-perfused Hearts

Optocardiography and Electrophysiology Studies of Ex Vivo Langendorff-perfused Hearts

Published on: November 7, 2019

Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts

Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts

Published on: July 18, 2025

Area of Science:

Biomedical Engineering
Artificial Intelligence in Medicine
Signal Processing

Background:

Electrocardiogram (ECG) recordings are frequently corrupted by artifacts, hindering accurate diagnosis.
Existing ECG denoising methods often fail to restore signals due to simplistic noise models.

Purpose of the Study:

To develop a novel blind ECG restoration method using Cycle-GANs.
To improve the quality of artifact-corrupted ECG signals to a clinical level.

Main Methods:

Utilized cycle-consistent generative adversarial networks (Cycle-GANs) for blind ECG restoration.
Employed 1D operational Cycle-GANs with a generative neuron model for enhanced performance.

Main Results:

Restored corrupted ECG signals to clinical-grade quality across various artifact types and severities.
Demonstrated significant improvements in quantitative, qualitative, and medical evaluations on the CPSC-2020 dataset.
Cardiologists validated the usability of restored ECGs for accurate arrhythmia diagnosis.

Conclusions:

The proposed Cycle-GAN approach represents a pioneering method for blind ECG restoration.
This technique significantly enhances ECG diagnosis accuracy and overall performance.