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

Computer-assisted analysis of the electro-oculogram.

A D Gosbell1, W R Barry, I Favilla

  • 1Department of Ophthalmology, Monash Medical Centre, Melbourne, Australia.

Australian and New Zealand Journal of Ophthalmology
|November 1, 1991
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

Clinical presentation, risk factors and treatment outcomes of first allograft rejection after penetrating keratoplasty in early and late postoperative period.

Eye (London, England)·2012
Same author

Insulin receptor and insulin receptor substrate-I in rat retinae.

Clinical & experimental ophthalmology·2000
Same author

Strategies for dealing with men in general practice.

Australian family physician·1999
Same author

The effects of insulin on the electroretinogram of bovine retina in vitro.

Current eye research·1996
Same author

Long chain polyunsaturated fatty acids and visual function in preterm infants.

Early human development·1996
Same author

Photodynamic therapy: a 5-year study of its effectiveness in the treatment of posterior uveal melanoma, and evaluation of haematoporphyrin uptake and photocytotoxicity of melanoma cells in tissue culture.

Melanoma research·1995
Same journal

Thomas a'Beckett Travers, 1902-1999.

Australian and New Zealand journal of ophthalmology·2000
Same journal

Bowen's disease of the eyelid in a renal transplant recipient on immunosuppressants.

Australian and New Zealand journal of ophthalmology·2000
Same journal

Linear IgA disease.

Australian and New Zealand journal of ophthalmology·2000
Same journal

Ring keratitis from topical anaesthetic misuse.

Australian and New Zealand journal of ophthalmology·2000
Same journal

Lamellar corneal autograft for corneal perforation.

Australian and New Zealand journal of ophthalmology·2000
Same journal

Preretinal haemorrhages: an unusual manifestation of intravitreal amikacin toxicity.

Australian and New Zealand journal of ophthalmology·2000
See all related articles

A new computer-aided method accurately analyzes electro-oculogram (EOG) signals for investigating retinal resting potential. This automated technique is efficient, reliable, and improves diagnostic accuracy for clinical research.

Area of Science:

  • Ophthalmology
  • Biomedical Engineering
  • Signal Processing

Background:

  • The electro-oculogram (EOG) is a valuable diagnostic tool in ophthalmology.
  • Manual analysis of EOG signals can be time-consuming and prone to variability.
  • Investigating the retinal resting potential requires precise EOG signal analysis.

Purpose of the Study:

  • To develop and validate a computer-aided method for acquiring and analyzing electro-oculogram signals.
  • To assess the efficiency, reliability, and accuracy of automated EOG analysis.
  • To improve the diagnostic classification of abnormal EOG results.

Main Methods:

  • Development of a computer-aided system for EOG signal acquisition and analysis.
  • Utilizing the repetitive nature, characteristic shape, and spectral properties of EOG signals for automated analysis.

Related Experiment Videos

  • Comparison of automated analysis results with manual strip chart recordings.

    • Main Results:

    • The automated EOG analysis system demonstrated high efficiency, reliability, and accuracy.
    • Automated results showed a highly significant correlation (P < 0.001) with manual analysis.
    • The system significantly reduced the false positive rate in classifying abnormal results based on the Arden ratio.

    Conclusions:

    • Computer-aided analysis of electro-oculogram signals is an efficient, reliable, and accurate method.
    • The developed system offers a clinically useful tool for EOG measurement in diagnostics and research.
    • Automated analysis enhances diagnostic accuracy by reducing false positives in EOG interpretation.