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Conference Paper: Determination of Corneal Nonlinear Viscoelastic Biomechanical Properties using Corvis ST

TitleDetermination of Corneal Nonlinear Viscoelastic Biomechanical Properties using Corvis ST
Authors
Keywordsbiomechanics
deformation
diseases
eye
optimisation
Issue Date2019
PublisherIEEE, Computer Society. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1000075/all-proceedings
Citation
2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), Athens, Greece, 28-30 October 2019, p. 634-637 How to Cite?
AbstractGlaucoma is one of the most common eye disease in which the optic nerve gradually dies. The aim of the study is to determine the corneal biomechanical properties by modelling the corneal dynamic deformation under an air puff excitation. The corneal dynamic deformation response was modeled by using nonlinear viscoelastic model, and then benchmarked with the clinical corneal dynamic deformation profile extracted from Corneal Visualization Scheimpflug Tonometer (Corvis ST) to determine the corresponding corneal biomechanical parameters. A total of 20 normal subjects were included in this study. An optimization process was developed to determine the better combination of corneal biomechanical parameters for the normal subjects. The results showed that the model can be used to determine the corneal biomechanical properties with the corneal dynamic deformation video extracted from the Corvis ST.
Persistent Identifierhttp://hdl.handle.net/10722/285358
ISSN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhalgas, A-
dc.contributor.authorKo, WLM-
dc.contributor.authorKim, JR-
dc.date.accessioned2020-08-18T03:52:44Z-
dc.date.available2020-08-18T03:52:44Z-
dc.date.issued2019-
dc.identifier.citation2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), Athens, Greece, 28-30 October 2019, p. 634-637-
dc.identifier.issn2159-5410-
dc.identifier.urihttp://hdl.handle.net/10722/285358-
dc.description.abstractGlaucoma is one of the most common eye disease in which the optic nerve gradually dies. The aim of the study is to determine the corneal biomechanical properties by modelling the corneal dynamic deformation under an air puff excitation. The corneal dynamic deformation response was modeled by using nonlinear viscoelastic model, and then benchmarked with the clinical corneal dynamic deformation profile extracted from Corneal Visualization Scheimpflug Tonometer (Corvis ST) to determine the corresponding corneal biomechanical parameters. A total of 20 normal subjects were included in this study. An optimization process was developed to determine the better combination of corneal biomechanical parameters for the normal subjects. The results showed that the model can be used to determine the corneal biomechanical properties with the corneal dynamic deformation video extracted from the Corvis ST.-
dc.languageeng-
dc.publisherIEEE, Computer Society. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1000075/all-proceedings-
dc.relation.ispartofIEEE Conference on Bioinformatics and Bioengineering Proceedings-
dc.rightsIEEE Conference on Bioinformatics and Bioengineering Proceedings. Copyright © IEEE, Computer Society.-
dc.rights©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectbiomechanics-
dc.subjectdeformation-
dc.subjectdiseases-
dc.subjecteye-
dc.subjectoptimisation-
dc.titleDetermination of Corneal Nonlinear Viscoelastic Biomechanical Properties using Corvis ST-
dc.typeConference_Paper-
dc.identifier.emailKo, WLM: matchko@hku.hk-
dc.identifier.doi10.1109/BIBE.2019.00119-
dc.identifier.scopuseid_2-s2.0-85078004590-
dc.identifier.hkuros312860-
dc.identifier.spage634-
dc.identifier.epage637-
dc.identifier.isiWOS:000524679600110-
dc.publisher.placeUnited States-
dc.identifier.issnl2159-5410-

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