April 2009
Volume 50, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2009
Fast Transient VEP Parameter Identification Algorithm for Evaluating Glaucoma Eyes
P. H. Derr; C. Tello; C. G. V. De Moraes; J. Patel; T. S. Prata; J. Siegfried; J. M. Liebmann; R. Ritch
Author Affiliations & Notes
  • P. H. Derr
    Diopsys, Pine Brook, New Jersey
  • C. Tello
    Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, New York
  • C. G. V. De Moraes
    Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, New York
  • J. Patel
    Diopsys, Pine Brook, New Jersey
  • T. S. Prata
    Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, New York
  • J. Siegfried
    Pennsylvania College of Optometry at Salus University, Elkins Park, Pennsylvania
  • J. M. Liebmann
    Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, New York
    NYU School of Medicine, New York, New York
  • R. Ritch
    Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, New York
  • Footnotes
    Commercial Relationships  P.H. Derr, Diopsys, Inc., E; C. Tello, Diopsys, Inc., R; C.G.V. De Moraes, None; J. Patel, Diopsys, E; T.S. Prata, None; J. Siegfried, Diopsys, Inc., R; J.M. Liebmann, Diopsys, Inc., R; R. Ritch, Diopsys, Inc., R.
  • Footnotes
    Support  None.
Investigative Ophthalmology & Visual Science April 2009, Vol.50, 5886. doi:
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      P. H. Derr, C. Tello, C. G. V. De Moraes, J. Patel, T. S. Prata, J. Siegfried, J. M. Liebmann, R. Ritch; Fast Transient VEP Parameter Identification Algorithm for Evaluating Glaucoma Eyes. Invest. Ophthalmol. Vis. Sci. 2009;50(13):5886.

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Abstract

Purpose: : To evaluate the applicability of parameter identification algorithm in detecting the N75-P100-N135 complex of a fast transient VEP (ftVEP) in glaucomatous eyes.

Methods: : Ten percent contrast ftVEP of 60 normal eyes and 84 glaucomatous eyes (mean MD = -8.85dB ± 8.15dB) were used to evaluate the technique. The raw ftVEP data were evaluated using the parameter identification algorithm. The basics of the identification technique are previously published (Derr et al, Doc Ophthalmol. 2002, 104:37-55).

Results: : The parameters of the N75-P100-N135 complex of ftVEP were successfully identified. Table 1 compares the modified algorithm, the standard visual inspection means and 95% CI of the six ftVEP parameters.Figure 1 illustrates the parameter identification algorithm in the identification of the N75-P100-N135 parameters of a glaucomatous eye.

Keywords: photoreceptors: visual performance • contrast sensitivity 
© 2009, The Association for Research in Vision and Ophthalmology, Inc., all rights reserved. Permission to republish any abstract or part of an abstract in any form must be obtained in writing from the ARVO Office prior to publication.
Copyright © 2025 Association for Research in Vision and Ophthalmology.
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