Context-based modelling of interferometric signals for the assessment of tear-film surface quality

, , , & (2009) Context-based modelling of interferometric signals for the assessment of tear-film surface quality. In Sanei, S & McWhirter, J (Eds.) Proceedings of the 2009 IEEE/SSP Fifteenth Workshop on Statistical Signal Processing. Institute of Electrical and Electronics Engineers Inc., Online, pp. 553-556.

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Description

Modelling of interferometric signals related to tear film surface quality is considered. In the context of tear film surface quality estimation in normal healthy eyes, two clinical parameters are of interest: the build-up time, and the average interblink surface quality. The former is closely related to the signal derivative while the latter to the signal itself. Polynomial signal models, chosen for a particular set of noisy interferometric measurements, can be optimally selected, in some sense, with a range of information criteria such as AIC, MDL, Cp, and CME. Those criteria, however, do not always guarantee that the true derivative of the signal is accurately represented and they often overestimate it. Here, a practical method for judicious selection of model order in a polynomial fitting to a signal is proposed so that the derivative of the signal is adequately represented. The paper highlights the importance of context-based signal modelling in model order selection.

Impact and interest:

2 citations in Scopus
1 citations in Web of Science®
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ID Code: 31142
Item Type: Chapter in Book, Report or Conference volume (Conference contribution)
ORCID iD:
Alonso-Caneiro, Davidorcid.org/0000-0002-7754-6592
Collins, Michaelorcid.org/0000-0001-5226-5498
Measurements or Duration: 4 pages
Keywords: Informaton Criteria, Model Order Selection, Signal Derivative Estimation
DOI: 10.1109/SSP.2009.5278515
ISBN: 978-1-4244-2710-9
Pure ID: 31894759
Divisions: Past > QUT Faculties & Divisions > Faculty of Health
Past > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Optometry & Vision Science
Copyright Owner: Consult author(s) regarding copyright matters
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Deposited On: 11 Mar 2010 06:01
Last Modified: 03 Mar 2024 09:55