Data analysis of the ocular response analyzer for improved distinction and detection of glaucoma

Asejczyk-Widlicka, Magdalena and Jóźwik, Agnieszka and Kasprzak, Henryk and Sobczak, Marcelina and Pierscionek, Barbara K. (2019) Data analysis of the ocular response analyzer for improved distinction and detection of glaucoma. Journal of the Optical Society of America A, 36 (4). B71-B76. ISSN 1520-8532

Full text not available from this repository.
Official URL: https://doi.org/10.1364/JOSAA.36.000B71

Abstract

The purpose of this study was to evaluate the clinical utility of the output parameters of the ocular response analyzer (ORA) and those calculated from the raw ORA in subjects with healthy eyes and those with suspected glaucoma, and in patients with two types of glaucoma. The raw ORA data were analyzed using a custom software that included the Gaussian filtering of applanation curves for three different window sizes. To the best of our knowledge, these findings present a novel means of optimizing the use of measurements from the ORA, which can refine the characteristics of corneal biomechanics, enabling a distinction between the types of glaucoma and leading to an improvement in diagnosing and early detection.

Item Type: Journal Article
Faculty: Faculty of Health, Education, Medicine & Social Care
Depositing User: Lisa Blanshard
Date Deposited: 12 Feb 2021 12:10
Last Modified: 22 Apr 2021 15:47
URI: https://arro.anglia.ac.uk/id/eprint/706266

Actions (login required)

Edit Item Edit Item