Contact lens fitting and changes in the tear film dynamics: mathematical and computational models review
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2024
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Springer
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Ramasubramanian D, Hernández-Verdejo JL, López-Alonso JM. Contact lens fitting and changes in the tear film dynamics: mathematical and computational models review. Graefes Arch Clin Exp Ophthalmol. 2024 Mar 2. doi: 10.1007/s00417-024-06400-5. Epub ahead of print. PMID: 38430228.
Abstract
Purpose: This review explores mathematical models, blinking characterization, and non-invasive techniques to enhance understanding and refine clinical interventions for ocular conditions, particularly for contact lens wear.
Methods: The review evaluates mathematical models in tear film dynamics and their limitations, discusses contact lens wear models, and highlights computational mechanical models. It also explores computational techniques, customization of models based on individual blinking dynamics, and non-invasive diagnostic tools like high-speed cameras and advanced imaging technologies.
Results: Mathematical models provide insights into tear film dynamics but face challenges due to simplifications. Contact lens wear models reveal complex ocular physiology and design aspects, aiding in lens development. Computational mechanical models explore eye biomechanics, often integrating tear film dynamics into a Multiphysics framework. While different computational techniques have their advantages and disadvantages, non-invasive tools like OCT and thermal imaging play a crucial role in customizing these Multiphysics models, particularly for contact lens wearers.
Conclusion: Recent advancements in mathematical modeling and non-invasive tools have revolutionized ocular health research, enabling personalized approaches. The review underscores the importance of interdisciplinary exploration in the Multiphysics approach involving tear film dynamics and biomechanics for contact lens wearers, promoting advancements in eye care and broader ocular health research.
Description
Received: 08 June 2023; Revised: 25 January 2024; Accepted: 06 February 2024; Published: 02 March 2024
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