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

Sequential frequency analysis: a method to quantify event related EEG changes.

A Kamp, W Vliegenthart

    Electroencephalography and Clinical Neurophysiology
    |June 1, 1977
    PubMed
    Summary

    This study introduces a hybrid frequency analysis method to examine electroencephalogram (EEG) changes during stimulus-response tasks. The technique effectively analyzes non-stationary EEG properties linked to behavioral events.

    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

    Dynamic assessment of biochar soil carbon climate change impacts.

    The Science of the total environment·2025
    Same author

    Climate footprint assessment of plastic waste pyrolysis and impacts on the Danish waste management system.

    Journal of environmental management·2023
    Same author

    Serum neurofilament light chain, contactin-1 and complement activation in anti-MAG IgM paraprotein-related peripheral neuropathy.

    Journal of neurology·2022
    Same author

    Animal production, animal health and food safety: Gaps and challenges in the chilean industry.

    Food microbiology·2018
    Same author

    Optical design study of an infrared visible viewing system for Wendelstein 7-X divertor observation and control.

    The Review of scientific instruments·2008
    Same author

    Characterization of cysteine-degrading and H2S-releasing enzymes of higher plants - from the field to the test tube and back.

    Plant biology (Stuttgart, Germany)·2007

    Area of Science:

    • Neuroscience
    • Signal Processing

    Background:

    • Electroencephalogram (EEG) analysis is crucial for understanding brain activity.
    • Studying EEG changes during specific tasks requires methods capable of handling time-varying data.

    Purpose of the Study:

    • To present a novel hybrid frequency analysis method for EEG.
    • To investigate EEG alterations associated with stimulus-response tasks.

    Main Methods:

    • Employed a bank of 20 analog filters for quantitative spectral data acquisition over time.
    • Utilized a general-purpose computer (PDP 11-20) for storing, averaging, and statistical analysis of time-varying spectral data.

    Main Results:

    • The hybrid method successfully captured EEG changes related to stimulus-response tasks.

    Related Experiment Videos

  • Demonstrated utility in analyzing non-stationary EEG properties.

    • Conclusions:

    • The developed hybrid frequency analysis is a valuable tool for studying dynamic EEG patterns.
    • This method enhances the analysis of EEG during specific behavioral events.