Botha, NKok, SInglis, HM2012-10-222012-10-222012-07Botha, N, Kok, S and Inglis, HM. Intraocular pressure estimation using proper orthogonal decomposition. 10th World Congress on Computational Mechanics (WCCM 2012), Sao Paulo, Brazil, 8-13 July 20129788586686702http://hdl.handle.net/10204/620510th World Congress on Computational Mechanics (WCCM 2012), Sao Paulo, Brazil, 8-13 July 2012Glaucoma is the second leading cause of irreversible blindness. The primary indicator for glaucoma is an elevated intraocular pressure, which is estimated by means of contact or non-contact tonometry. However, these techniques do not accurately account for the cornea properties that deviate from the norm, thus leading to the inaccurate estimation of the intraocular pressure. This work builds on a previous study, in which a combination of an artificial neural network and a genetic algorithm was used to estimate the intraocular pressure and cornea properties. This paper proposes to use proper orthogonal decomposition to accurately estimate the intraocular pressure independent of the cornea properties. The results indicate that proper orthogonal decomposition is able to estimate the intraocular pressure, and that the cornea properties have a slight influence on the estimation. For thicker corneas, however, the intraocular pressure prediction is influenced. This study concluded that this deterministic technique avoids the ambiguity that could result from a method relying on a stochastic optimization routine.enIntraocular pressureGlaucomaCorneaProper orthogonal decompositionAnisotropic materialConference PresentationBotha, N., Kok, S., & Inglis, H. (2012). Intraocular pressure estimation using proper orthogonal decomposition. http://hdl.handle.net/10204/6205Botha, N, S Kok, and HM Inglis. "Intraocular pressure estimation using proper orthogonal decomposition." (2012): http://hdl.handle.net/10204/6205Botha N, Kok S, Inglis H, Intraocular pressure estimation using proper orthogonal decomposition; 2012. http://hdl.handle.net/10204/6205 .TY - Conference Presentation AU - Botha, N AU - Kok, S AU - Inglis, HM AB - Glaucoma is the second leading cause of irreversible blindness. The primary indicator for glaucoma is an elevated intraocular pressure, which is estimated by means of contact or non-contact tonometry. However, these techniques do not accurately account for the cornea properties that deviate from the norm, thus leading to the inaccurate estimation of the intraocular pressure. This work builds on a previous study, in which a combination of an artificial neural network and a genetic algorithm was used to estimate the intraocular pressure and cornea properties. This paper proposes to use proper orthogonal decomposition to accurately estimate the intraocular pressure independent of the cornea properties. The results indicate that proper orthogonal decomposition is able to estimate the intraocular pressure, and that the cornea properties have a slight influence on the estimation. For thicker corneas, however, the intraocular pressure prediction is influenced. This study concluded that this deterministic technique avoids the ambiguity that could result from a method relying on a stochastic optimization routine. DA - 2012-07 DB - ResearchSpace DP - CSIR KW - Intraocular pressure KW - Glaucoma KW - Cornea KW - Proper orthogonal decomposition KW - Anisotropic material LK - https://researchspace.csir.co.za PY - 2012 SM - 9788586686702 T1 - Intraocular pressure estimation using proper orthogonal decomposition TI - Intraocular pressure estimation using proper orthogonal decomposition UR - http://hdl.handle.net/10204/6205 ER -