Development of a non-invasive calibration method for ocular tactile tonometry

Eniko T. Enikov, Péter P. Polyvás

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This article describes a novel method of indirect estimation of intra-ocular pressure using tactile sensors. Two sensor calibration methods have been demonstrated: an artificial neural network (ANN) model and a phenomenological reducedparameter model based on finite element analysis. The ANN method showed superior performance with an accuracy of +/- 0.7 mmHg, while the reduced order method showed an accuracy of +/- 3.11 mmHg. The latter method however allows calibration of the tactile tonometer from a single pressure measurement if the geometry of the probes is known and satisfying certain solvability conditions. The ANN method was demonstrated using experiment data, while the reduced-order model was tested numerically. Due to its indirect and non-invasive nature, the proposed tactile measurement method can be used in the development of a self-administered home tonometer for management of glaucoma, however the presence of an eye lid might require modification of the calibration procedure outlined here.

Original languageEnglish (US)
Title of host publicationBiomedical and Biotechnology Engineering
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Print)9780791856215
DOIs
StatePublished - 2013
EventASME 2013 International Mechanical Engineering Congress and Exposition, IMECE 2013 - San Diego, CA, United States
Duration: Nov 15 2013Nov 21 2013

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume3 A

Other

OtherASME 2013 International Mechanical Engineering Congress and Exposition, IMECE 2013
Country/TerritoryUnited States
CitySan Diego, CA
Period11/15/1311/21/13

ASJC Scopus subject areas

  • Mechanical Engineering

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