or
Subjective VA (decimal): |
Modified Ricker model Lock scale |
$$a(sf) = (a_{max} - a_{noise}) {sf} / {{sf}_{max}} {e^({{-{sf}/{{sf}_{max}} + 1}}) + a_{noise}$$
predicted VA (decimal)
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2nd-order polynomial model Lock scale |
$$a(sf) = p_1 + p_2{log_{10}(sf)} + p_3{log_{10}(sf)}^2$$
predicted VA (decimal)
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This project uses the following open source libraries:
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Disclaimer
This is a Free and Open Source Software (FOSS) licensed under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This software is not certified as a medical device (CE-1 or FDA) for primary diagnosis or clinical practice. This software can only be used as a reviewing or scientific software and cannot be used as a medical device for primary diagnostic or any other clinical practice. This is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details (cf. GNU General Public License version 3). |
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Copyright © 2018 Torsten Straßer, Institute for Ophthalmic Research, Tuebingen, Germany |