Prediction model of contact forces and IOP during digital palpation of porcine eyes

Prediction model of contact forces and IOP during digital palpation of porcine eyes

Frequent intraocular pressure (IOP) measurements are desirable in the diagnosis and management of glaucoma. Most current tonometers utilize some form of corneal deformation to estimate the IOP, since trans-scleral tonometry suffers from loss of sensitivity. Tran-scleral and trans-palpebral tonometry...

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Bibliographic Details
Published in:Journal of the mechanical behavior of biomedical materials 2023-06, Vol.142, p.105864-105864, Article 105864
Main Authors: Zhang, Qiuchen, Enikov, Eniko T.
Format: Article
Language:eng
Subjects:
Animals
Cornea
Eye palpation
Eye pressure
Eye stiffness
Glaucoma
Intraocular Pressure
Mathematical model
Sclera
Swine
System identification
Tonometry, Ocular - methods
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Summary:Frequent intraocular pressure (IOP) measurements are desirable in the diagnosis and management of glaucoma. Most current tonometers utilize some form of corneal deformation to estimate the IOP, since trans-scleral tonometry suffers from loss of sensitivity. Tran-scleral and trans-palpebral tonometry, however, offer a pathway towards a non-invasive home tonometry. This article presents a mathematical model capturing the relationship between the IOP and the displacements imposed onto the sclera by externally applied forces. Similar to manual digital palpation tonometry, trans-scleral mechanical palpation makes use of two force probes that are advanced in a specific order and distance. Data from the applied forces and displacements, along with concurrent measurements of IOP is used to produce a phenomenological mathematical model. The experiments were carried out on enucleated porcine eyes. Two models are presented. Model 1 predicts IOP vs forces and displacements, while Model 2 predicts the baseline IOP (prior to applying the forces) as a function of the measured forces and displacements. The proposed models result in IOP errors of 1.65 mmHG and 0.82 mmHg, respectively. Model parameters were extracted using least-squares-based system identification methods. The results show that the proposed models can be used to estimate the baseline IOP with accuracy of ±1 mmHg over a pressure range of 10–35 mmHg, solely from measurement of tactile forces and displacements.
ISSN:1751-6161
1878-0180