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 Experiment Videos

Visual evoked potential processing under acceleration stress.

G J Maskarinec1, E A Trachtenberg, B Onaral

  • 1Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104.

Annals of Biomedical Engineering
|January 1, 1989
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Genotype List String: a grammar for describing HLA and KIR genotyping results in a text string.

Tissue antigens·2013
Same author

Multi-locus HLA class I and II allele and haplotype associations with follicular lymphoma.

Tissue antigens·2012
Same author

A multi-site study using high-resolution HLA genotyping by next generation sequencing.

Tissue antigens·2011
Same author

Prefrontal hemodynamic changes produced by anodal direct current stimulation.

NeuroImage·2009
Same author

High-resolution, high-throughput HLA genotyping by next-generation sequencing.

Tissue antigens·2009
Same author

Error introduced in the dielectric constant measurement by electrode polarization.

Biophysical journal·2009
Same journal

A Physiologic Left Ventricle Flow Phantom for 4D Flow MRI Applications and CFD Verification.

Annals of biomedical engineering·2026
Same journal

Pulsatile Hemodynamics of Prehypertension and Hypertension: Associations with Pressure and Sex.

Annals of biomedical engineering·2026
Same journal

A Pressure Difference-Based Strategy for Blood Oxygen Control in Membrane Oxygenators: Reduced Modeling, Computational Simulation, and Exploratory In Vivo Evaluation.

Annals of biomedical engineering·2026
Same journal

Multidirectional Optical Bone Densitometry Using a Simulation-Based Machine Learning Model: Experimental Validation with Bone Phantoms.

Annals of biomedical engineering·2026
Same journal

Numerical Study of Human Torso Mechanical Response and Injury Assessment Under Blast Loading with Bulletproof Protection.

Annals of biomedical engineering·2026
Same journal

Immediate and Mid-Long-Term Effects of Foot Orthoses on Gait Biomechanics and Clinical Characteristics in Medial Knee Osteoarthritis: A Systematic Review and Meta-analysis.

Annals of biomedical engineering·2026
See all related articles

This study explores using visual evoked potentials (VEPs) to detect blackout caused by acceleration. Detection and estimation methods were evaluated for accuracy, introducing a new performance index.

Area of Science:

  • Neuroscience
  • Aerospace Medicine
  • Signal Processing

Background:

  • Acceleration-induced blackout poses a risk in aviation and high-G environments.
  • Monitoring physiological responses is crucial for pilot safety.
  • Visual evoked potentials (VEPs) offer a potential non-invasive method for assessing visual system function under stress.

Purpose of the Study:

  • To evaluate the efficacy of VEPs in detecting acceleration-induced blackout.
  • To compare detection and estimation-based approaches for VEP analysis.
  • To introduce and assess a novel performance index (PI) for evaluating detection algorithms.

Main Methods:

  • Utilized electroencephalography (EEG) to measure VEPs during simulated acceleration.
  • Applied both detection and estimation-based algorithms to identify VEPs in EEG data.

Related Experiment Videos

  • Investigated variations including output averaging and decision thresholding.
  • Evaluated algorithm performance using a newly developed Performance Index (PI) and pure detection accuracy.

    • Main Results:

    • Both detection and estimation methods showed capability in identifying VEPs.
    • The performance index (PI) provided a quantitative measure of algorithm effectiveness.
    • Variations in processing techniques influenced detection accuracy.
    • The study demonstrates the feasibility of using VEPs for blackout detection.

    Conclusions:

    • VEPs are a viable tool for detecting acceleration-induced blackout.
    • The developed performance index offers a robust method for evaluating detection algorithms.
    • Further research can refine VEP analysis for operational safety applications.