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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kurita, Y. Iida, Y. Kaneko, M. Mishima, H.K. Katakura, S. Kiuchi, Y. |
| Copyright Year | 2007 |
| Description | Author affiliation: Hiroshima Gen. Hosp. of West Japan Railway Co., Hiroshima (Mishima, H.K.) || Osaka Univ., Suita (Kaneko, M.) || Nara Inst. of Sci. & Technol., Nara (Kurita, Y.) || Hiroshima Univ., Hiroshima (Iida, Y.; Katakura, S.; Kiuchi, Y.) |
| Abstract | Goldmann applanation tonometry is commonly used for measuring IOP (intraocular pressure) to diagnose glaucoma. However, the measured IOP by the applanation tonometry is valid only under the assumption that all the subjects have the same structural eye stiffness. Abnormal eye stiffness makes abnormal corneal deformation and thus the current applanation tonometer misestimates the IOP. This study challenges to measure the eye stiffness in vivo with a noninvasive approach for detecting the abnormal deformation. The deformation of the cornea and the contact area between the probe and the cornea are simultaneously captured by cameras during the experiment. Experimental results show that some subjects have different relationship among the force, the displacement and the contact area even with same IOP. The proposed eye stiffness measurement can help detecting the abnormal deformation and the eyes with misestimated IOP. |
| Starting Page | 2779 |
| Ending Page | 2782 |
| File Size | 1730941 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424407873 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2007.4352905 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-22 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Area measurement Humans Eyes Biomedical measurements Force measurement Cornea Pressure measurement Cameras Probes Needles |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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