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

Peak-detection algorithm for EEG analysis.

R E Barr, J J Ackmann, J Sonnenfeld

    International Journal of Bio-Medical Computing
    |November 1, 1978
    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

    Quantitative analysis of the electroencephalogram during cranial electrotherapy stimulation.

    Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2001
    Same author

    Laser sulcular debridement: the newest weapon in fighting periodontitis.

    Dentistry today·2001
    Same author

    An alpha modulation index for electroencephalographic studies using complex demodulation.

    Medical & biological engineering & computing·2000
    Same author

    Muscle activity in rapid multi-degree-of-freedom elbow movements: solutions from a musculoskeletal model.

    Biological cybernetics·1999
    Same author

    Effects of physical parameters on the cylindrical model for volume measurement by conductance.

    Annals of biomedical engineering·1997
    Same author

    In vitro and finite-element model investigation of the conductance technique for measurement of aortic segmental volume.

    Annals of biomedical engineering·1996

    A novel peak-detection method for electroencephalogram (EEG) analysis offers a standardized approach. This computer-based technique accurately measures EEG waves, improving clinical data interpretation.

    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Signal Processing

    Background:

    • Computer analysis of electroencephalogram (EEG) signals is crucial for understanding brain activity.
    • Existing methods for EEG analysis lack standardization, hindering inter-clinic comparisons.
    • Low-voltage activity can obscure important features in EEG recordings.

    Purpose of the Study:

    • To introduce a standardized peak-detection algorithm for computer-based EEG analysis.
    • To develop a method for accurately measuring amplitude and time intervals of EEG waves.
    • To enable the formulation of useful intra-band and inter-band EEG statistics for on-line applications.

    Main Methods:

    • The described technique measures amplitude and time intervals between successive signal peaks and troughs.

    Related Experiment Videos

  • An amplitude threshold criterion is incorporated to filter out low-voltage EEG activity.
  • The algorithm facilitates the calculation of various EEG signal statistics.

    • Main Results:

    • The peak-detection algorithm successfully processed both normal and clinical EEG recordings.
    • The method demonstrated its capability to accurately identify and quantify EEG wave characteristics.
    • The inclusion of an amplitude threshold effectively removed noise and low-amplitude artifacts.

    Conclusions:

    • The developed peak-detection algorithm provides a standardized and reliable method for EEG analysis.
    • This approach can be applied to on-line computer applications for real-time EEG data processing.
    • The standardized nature of the algorithm facilitates consistent EEG analysis across different clinical settings.