Documenta Ophthalmologica

, Volume 128, Issue 3, pp 169–178 | Cite as

A fast automated method for calculating the EOG Arden ratio

  • Marc G. Sarossy
  • Matthew H. A. Lee
  • Michael Bach
Original Research Article

Abstract

Background

Recording of the dark trough/light peak of the electrooculogram (EOG) remains a useful electrodiagnostic tool. Manual analysis of the recording is tedious and lengthy, and automated analysis needs to deal with artefacts due to suboptimal patient cooperation.

Methods

We present a novel method of automating the processing and analysis of raw EOG data using the open-source statistical software R. Rather than attempting saccade detection, we utilize the fact that basic properties of the response (rough waveform timing) are known and simply fit a square wave to each response run—free parameters are amplitude and phase. To assess this analysis method, responses from 54 eyes of 27 patients with a variety of ophthalmic diagnoses were analysed with manual calculation and with a number of automated methods of fitting the response curve. The Arden ratio was the main outcome measure.

Results

Robust regression of a fundamental with a three-harmonic approximation of a square wave was found to be the best method. Classification accuracy with this method compared with the manual calculations as gold standard; using a lower normal threshold of 200 %, Arden ratio was found to achieve a sensitivity of 96 % and specificity of 81 %. Time taken to process and analyse the data for a subject was reduced from 20 min for the manual method to 2 min for the automated method.

Conclusions

The simple approach yielded a surprisingly effective automatic estimation of the Arden ratio. In one author’s laboratory (MB), this procedure has proved to be useful over 5 years for routine analysis.

Keywords

Electrooculography Statistical models Vitelliform macular dystrophy 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Marc G. Sarossy
    • 1
    • 4
  • Matthew H. A. Lee
    • 2
  • Michael Bach
    • 3
  1. 1.Centre for Eye Research AustraliaMelbourneAustralia
  2. 2.Faculty of Medicine, Nursing and Health SciencesMonash UniversityClaytonAustralia
  3. 3.Eye CenterUniversity of FreiburgFreiburgGermany
  4. 4.RMIT UniversityMelbourneAustralia

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