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

4.9K
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...
4.9K

You might also read

Related Articles

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

Sort by
Same author

Reframing neuroergonomics in an evolutionary and active inference context.

Frontiers in neuroergonomics·2026
Same author

Fearful faces in peripheral vision: The vestigial auriculomotor system as an indicator of affective processing.

Brain research bulletin·2026
Same author

Toward Neuroergonomic Attention Assistance: Neural Signatures of Haptic-Driven Modulations in Multimodal Cueing.

IEEE transactions on haptics·2026
Same author

An evolutionary history of human listening: Mismatches between auditory priors and contemporary acoustic environments.

JASA express letters·2026
Same author

MCPmed: a call for Model Context Protocol-enabled bioinformatics web services for LLM-driven discovery.

Briefings in bioinformatics·2026
Same author

Poorer subjective hearing is associated with less frequent and more negative social interactions in older adults.

The journals of gerontology. Series B, Psychological sciences and social sciences·2025

Related Experiment Video

Updated: Dec 6, 2025

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

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

4.8K

Towards Contactless Estimation of Electrodermal Activity Correlates.

Mayur J Bhamborae, Philipp Flotho, Adrian Mai

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 6, 2020
    PubMed
    Summary

    This study demonstrates contactless estimation of electrodermal activity (EDA) using camera video. This nonintrusive method accurately measures EDA correlates, offering a new tool for physiological research.

    More Related Videos

    Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements
    06:39

    Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements

    Published on: August 28, 2017

    14.7K
    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
    08:33

    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

    Published on: September 4, 2019

    7.3K

    Related Experiment Videos

    Last Updated: Dec 6, 2025

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

    Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

    Published on: July 22, 2022

    4.8K
    Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements
    06:39

    Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements

    Published on: August 28, 2017

    14.7K
    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
    08:33

    A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

    Published on: September 4, 2019

    7.3K

    Area of Science:

    • Physiological measurement
    • Computer vision
    • Affective computing

    Background:

    • Electrodermal activity (EDA) is a key indicator of physiological arousal.
    • Current EDA measurement methods often require intrusive, contact-based sensors.
    • Advances in computer vision offer potential for novel, noncontact physiological monitoring.

    Purpose of the Study:

    • To present a proof-of-concept for contactless and nonintrusive estimation of electrodermal activity (EDA) correlates using a standard camera.
    • To investigate the feasibility of using RGB video data for EDA correlate estimation.
    • To explore the potential applications in affective computing and psychophysiology.

    Main Methods:

    • Acquisition of RGB video data from the palm under controlled lighting conditions.
    • Development of an illumination strategy to enhance sweat gland activity visibility.
    • Quantification of EDA correlates using simple pixel statistics from video data.

    Main Results:

    • Camera-based estimation of EDA correlates showed agreement with laboratory-grade physiological sensors.
    • Visible physiological effects correlated with EDA were detectable in video data.
    • Pixel statistics effectively quantified these sweat gland activity-related effects.

    Conclusions:

    • Contactless EDA correlate estimation via camera is feasible.
    • This nonintrusive method shows promise for affective computing and psychophysiology.
    • The technique leverages computer vision advancements for accessible physiological monitoring.