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A fast automated method for calculating the EOG Arden ratio

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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.

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Authors and Affiliations

  1. Centre for Eye Research Australia, Melbourne, Australia

    Marc G. Sarossy

  2. Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Australia

    Matthew H. A. Lee

  3. Eye Center, University of Freiburg, Freiburg, Germany

    Michael Bach

  4. RMIT University, Melbourne, Australia

    Marc G. Sarossy

Authors
  1. Marc G. Sarossy
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  2. Matthew H. A. Lee
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  3. Michael Bach
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Corresponding author

Correspondence to Marc G. Sarossy.

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Sarossy, M.G., Lee, M.H.A. & Bach, M. A fast automated method for calculating the EOG Arden ratio. Doc Ophthalmol 128, 169–178 (2014). https://doi.org/10.1007/s10633-014-9430-5

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  • DOI: https://doi.org/10.1007/s10633-014-9430-5

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