ReviewJournal of healthcare engineering2018
Corneal Vibrations during Intraocular Pressure Measurement with an Air-Puff Method.
Review in Journal of healthcare engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- A Method for Visualizing Corneal Dynamics Through Pixel Intensity Tracking.Translational vision science & technology · 2025Article
- Remote and low-cost intraocular pressure monitoring by deep learning of speckle patterns.Journal of biomedical optics · 2024Article
- Development and validation of an intuitive biomechanics-based method for intraocular pressure measurement: a modal analysis approach.BMC ophthalmology · 2023Article
- High-Frequency Ultrasound Elastography to Assess the Nonlinear Elastic Properties of the Cornea and Ciliary Body.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022Article
- A pilot study for intraocular pressure measurements based on vibroacoustic parameters.Scientific reports · 2021Article
- Analysis of Corneal Distortion after Myopic PRK.Journal of clinical medicine · 2020Article
- Keratoconus Detection-based on Dynamic Corneal Deformation Videos Using Deep Learning.Ophthalmology scienceArticle
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The paper presents a commentary on the method of analysis of corneal vibrations occurring during eye pressure measurements with air-puff tonometers, for example, Corvis. The presented definition and measurement method allow for the analysis of image sequences of eye responses-cornea deformation. In particular, the outer corneal contour and sclera fragments are analysed, and 3D reconstruction is performed. Methods: On this basis, well-known parameters such as eyeball reaction or corneal response are determined. The next steps of analysis allow for automatic and reproducible separation of four different corneal vibrations. These vibrations are associated with (1) the location of the maximum of cornea deformation; (2) the cutoff area measured in relation to the cornea in a steady state; (3) the maximum of peaks occurring between applanations; and (4) the other characteristic points of the corneal contour. Results: The results obtained enable (1) automatic determination of the amplitude of vibrations; (2) determination of the frequency of vibrations; and (3) determination of the correlation between the selected types of vibrations. Conclusions: These are diagnostic features that can be directly applied clinically for new and archived data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.