Finite Element based Intra Ocular pressure (IOP) Detection during Tonometry Process

R. Bharathi, G. K. Prabhu, S. Ramesh, Meenakshi S. Sundaram

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

Abstract

A 3D model of human eye is developed by using Finite Element based software to determine the influence of variation in Intra Ocular Pressure (IOP) of eye on the magnitude of applanation force applied during tonometry test procedure. The standard tonometer experiences deformation from 0.5mm to 3mm of the cornea is adopted during the simulation work. The study about the applanation force during tonometry plays a major role while designing new prototype of tonometer. The results demonstrate that higher IOP of eye will tend to reduce the magnitude of force of applanation required during tonometry test and vice versa. To provide maximum of up-to 3mm displacement of cornea along the direction of cornea towards retina, the amount of applanation force provided through tonometer is 2.8N and to provide 0.5mm displacement of cornea along the direction towards the retina, the amount of applanation force is 0.5N.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Inventive Computation Technologies, ICICT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages545-549
Number of pages5
ISBN (Electronic)9781728146850
DOIs
Publication statusPublished - 02-2020
Event5th International Conference on Inventive Computation Technologies, ICICT 2020 - Coimbatore, India
Duration: 26-02-202028-02-2020

Publication series

NameProceedings of the 5th International Conference on Inventive Computation Technologies, ICICT 2020

Conference

Conference5th International Conference on Inventive Computation Technologies, ICICT 2020
CountryIndia
CityCoimbatore
Period26-02-2028-02-20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Health Informatics

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