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

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...
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...
Electrogravimetric Analysis: Overview01:30

Electrogravimetric Analysis: Overview

Electrogravimetric analysis measures the weight of an analyte deposited electrolytically onto a suitable working electrode. This method involves applying a potential to a pre-weighed electrode submerged in a solution, which results in the desired substance being deposited through reduction at the cathode or oxidation at the anode. The electrode's weight is recorded after deposition, and the difference in weight gives the analyte's weight in the solution.
To test the completeness of the...

You might also read

Related Articles

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

Sort by
Same author

Trigonometric gradient microstructures in additively manufactured single crystals enable strength-ductility synergy and programmable performance.

Nature communications·2025
Same author

Estimating direction of arrival in reverberant environments for wake-word detection using a single structural vibration sensora).

The Journal of the Acoustical Society of America·2024
Same author

Design rules for scalability in spin-orbit electronics.

Scientific reports·2019
Same author

Evaluating the Validity of an Automated Device for Asthma Monitoring for Adolescents: Correlational Design.

Journal of medical Internet research·2015
Same author

Preamplifiers for non-contact capacitive biopotential measurements.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2013
Same author

A low noise, non-contact capacitive cardiac sensor.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2013

Related Experiment Video

Updated: May 18, 2026

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
10:03

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

Non-contact ECG sensing employing gradiometer electrodes.

GuoChen Peng1, Mark F Bocko

  • 1Electrical and Computer Engineering Department, University of Rochester, Rochester, NY 14627-0231, USA. gupeng@ece.rochester.edu

IEEE Transactions on Bio-Medical Engineering
|September 26, 2012
PubMed
Summary

Motion artifacts in noncontact capacitive electrocardiogram (ECG) measurements are reduced using novel gradiometer electrode designs. Second-order gradiometers offer superior performance, minimizing beat detection errors compared to standard methods.

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

Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

Related Experiment Videos

Last Updated: May 18, 2026

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
10:03

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

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

Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Wearable Health Technology

Background:

  • Noncontact capacitive electrocardiogram (ECG) measurements are susceptible to motion artifacts due to electrode-subject movement.
  • These artifacts significantly complicate accurate ECG signal acquisition and analysis.

Purpose of the Study:

  • To develop and evaluate novel gradiometer electrode designs for motion artifact compensation in capacitive ECG.
  • To compare the performance of first and second-order gradiometer designs against standard ECG methods.

Main Methods:

  • Developed a MATLAB-based simulation tool for assessing electrode configurations.
  • Experimental validation using human subjects to measure sensitivity, motion artifact cancellation, and common mode rejection.
  • Compared gradiometer designs with standard ECG recording using an open-source beat detection algorithm.

Main Results:

  • Second-order gradiometer electrode designs demonstrated superior performance, indicated by a higher signal-to-noise-plus-distortion ratio.
  • Both gradiometer designs exhibited less than 1% beat detection mismatch compared to standard ECG methods.

Conclusions:

  • First and second-order gradiometer electrode designs effectively compensate for motion artifacts in capacitive ECG.
  • Second-order gradiometers provide the best performance for robust, noncontact ECG monitoring.