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

Automated electrooculography--a microprocessor application example

S A Jackson

    Journal of Medical Engineering & Technology
    |November 1, 1980
    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

    Flow and outdoor adventure recreation: Using flow measures to re-examine motives for participation.

    Psychology of sport and exercise·2023
    Same author

    Quality of life and functional outcomes following pelvic exenteration and sacrectomy.

    Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland·2019
    Same author

    Validation of a biomarker panel in Barrett's esophagus to predict progression to esophageal adenocarcinoma.

    Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus·2018
    Same author

    Ultrastructure and Transport-Related Enzymes of the Gills and Coxal Gland of the Horseshoe Crab Limulus polyphemus.

    The Biological bulletin·2017
    Same author

    Assessment of the value of MRI scan in addition to CT in the pre-operative staging of colorectal liver metastases.

    Journal of gastrointestinal cancer·2014
    Same author

    The Preoperative Assessment of Hepatic Tumours: Evaluation of UK Regional Multidisciplinary Team Performance.

    HPB surgery : a world journal of hepatic, pancreatic and biliary surgery·2013
    Same journal

    News and Product Update.

    Journal of medical engineering & technology·2026
    Same journal

    PMMA based ultra miniaturized implantable antenna for biotelemetry applications.

    Journal of medical engineering & technology·2026
    Same journal

    Comparative machine learning for accurate EEG-based epileptic seizure state classification using sub-band analysis.

    Journal of medical engineering & technology·2026
    Same journal

    Genetic algorithm-optimized machine learning approaches for EEG-based silent speech decoding.

    Journal of medical engineering & technology·2026
    Same journal

    Power transition signatures of vibroarthrographic spectrograms for diagnosing knee joint pathologies.

    Journal of medical engineering & technology·2026
    Same journal

    News and product update.

    Journal of medical engineering & technology·2026
    See all related articles

    This study details a microprocessor-controlled system for analyzing electrooculogram (EOG) clinical tests. The system uses an Intel 8080 microprocessor to automate EOG analysis, improving efficiency and accuracy.

    Area of Science:

    • Biomedical Engineering
    • Clinical Diagnostics
    • Microprocessor Applications

    Background:

    • The electrooculogram (EOG) is a clinical test used to assess retinal function.
    • Traditional EOG analysis can be labor-intensive and prone to human error.
    • There is a need for automated and precise methods in clinical diagnostic testing.

    Purpose of the Study:

    • To develop and evaluate a microprocessor-controlled system for automated electrooculogram (EOG) analysis.
    • To demonstrate the advantages of using microprocessors in clinical test control and data analysis.
    • To improve the efficiency and accuracy of EOG testing.

    Main Methods:

    • An Intel 8080 microprocessor was employed to control the EOG test procedure.
    • A moving visual stimulus was generated using a strip of 32 light-emitting diodes.

    Related Experiment Videos

  • Sinusoidal signals from eye movements, detected by electrodes, were monitored, digitized, and peak values stored.
  • System faults were detected, and error messages were generated automatically.
  • Results were plotted numerically and graphically, and the test terminated automatically upon data sufficiency.

    • Main Results:

    • The microprocessor system successfully controlled the EOG test, including stimulus presentation and data acquisition.
    • Automated analysis of sinusoidal signals from eye movements was achieved.
    • Real-time numerical and graphical plotting of results was implemented.
    • System fault detection and automatic test termination were functional.

    Conclusions:

    • Microprocessor control offers significant advantages for automating clinical tests like the EOG.
    • The developed system enhances the efficiency, accuracy, and reliability of EOG analysis.
    • This approach demonstrates the potential of microprocessors in modern clinical diagnostic instrumentation.