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

Automatic recognition of interictal spikes.

J Gotman

    Electroencephalography and Clinical Neurophysiology. Supplement
    |January 1, 1985
    PubMed
    Summary
    This summary is machine-generated.

    This review covers automatic methods for detecting epileptic spikes in electroencephalograms (EEGs). It discusses challenges like artifacts and validation, and explores research using quantitative spike analysis.

    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

    Targeted density electrode placement achieves high concordance with traditional high-density EEG for electrical source imaging in epilepsy.

    Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2023
    Same author

    Has recording of seizures become obsolete?

    Revue neurologique·2023
    Same author

    Value of ictal and interictal epileptiform discharges and high frequency oscillations for delineating the epileptogenic zone in patients with focal cortical dysplasia.

    Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2018
    Same author

    Abstracts of Presentations at the International Conference on Basic and Clinical Multimodal Imaging (BaCI), a Joint Conference of the International Society for Neuroimaging in Psychiatry (ISNIP), the International Society for Functional Source Imaging (ISFSI), the International Society for Bioelectromagnetism (ISBEM), the International Society for Brain Electromagnetic Topography (ISBET), and the EEG and Clinical Neuroscience Society (ECNS), in Geneva, Switzerland, September 5-8, 2013.

    Clinical EEG and neuroscience·2013
    Same author

    Scalp EEG is not a blur: it can see high frequency oscillations although their generators are small.

    Brain topography·2013
    Same author

    Time-related changes in neural systems underlying attention and arousal during the performance of an auditory vigilance task.

    Journal of cognitive neuroscience·2013
    Same journal

    Neural bases of time estimation: a PET and ERP study.

    Electroencephalography and clinical neurophysiology. Supplement·2000
    Same journal

    Monitoring temporal aspects of cortical information processing.

    Electroencephalography and clinical neurophysiology. Supplement·2000
    Same journal

    Neurophysiological markers of relapse, remission and long-term recovery processes in MS.

    Electroencephalography and clinical neurophysiology. Supplement·2000
    Same journal

    Immunological surrogate markers of disease activity in multiple sclerosis.

    Electroencephalography and clinical neurophysiology. Supplement·2000
    Same journal

    Non-conventional MR techniques in monitoring MS activity and evolution.

    Electroencephalography and clinical neurophysiology. Supplement·2000
    Same journal

    Clinical measures of disease activity in multiple sclerosis.

    Electroencephalography and clinical neurophysiology. Supplement·2000
    See all related articles

    Area of Science:

    • Neurology
    • Biomedical Engineering
    • Signal Processing

    Background:

    • Epileptic spikes in EEG are crucial diagnostic markers.
    • Accurate detection of these spikes is challenging due to artifacts and non-epileptiform transients.
    • Automated methods offer potential for improved efficiency and accuracy.

    Purpose of the Study:

    • To review existing methods for automatic recognition of isolated epileptic spikes in EEG.
    • To discuss challenges in implementing and validating these automated methods.
    • To explore research applications of quantitative spike analysis in epilepsy.

    Main Methods:

    • Review of numerous automatic recognition methods for epileptic spikes.
    • Discussion of computer-aided display of results.

    Related Experiment Videos

  • Examination of validation complexities and clinical implementation barriers.
  • Analysis of research projects utilizing quantitative spike analysis.

    • Main Results:

    • Numerous methods for automatic epileptic spike recognition exist.
    • Artifacts and non-epileptiform transients pose significant challenges.
    • Validation of automated methods is complex.
    • Clinical implementation of automated EEG analysis is limited.
    • Quantitative analysis aids in understanding spike morphology and distribution.

    Conclusions:

    • Automated detection of epileptic spikes in EEG is an active research area with significant challenges.
    • Further research is needed to improve method validation and clinical integration.
    • Quantitative analysis of spike activity provides valuable insights into epilepsy.