Maculopathy eyesight evaluation method

Abstract

The invention provides a maculopathy eyesight evaluation method, which comprises a maculopathy visual chart device with action instruction control, and the maculopathy visual chart device comprises aneyesight screen, a control unit, a keyboard, an action sensor and a network module. The keyboard is used for inputting key signals. The network module is used for connecting a computer and a network.The action sensor is used for sensing and outputting an action instruction signal of a user. The eyesight screen is used for displaying test characters with different gray levels, different sizes anddifferent contrast ratios. The eyesight screen does not need backlight and does not emit light by itself, and displayed content is visible through reflected light. The device obtains the vision evaluation SF through the calculation of a test distance S, a screen size P, an area number M, a flexible value L, a size level D*1, a background gray level Hd1, a character gray level Db1 and a inverse color coefficient F. The invention provides a comprehensive evaluation method aiming at the visual sensitivity characteristic of a maculopathy patient, and aims to evaluate the vision level of the maculopathy patient more reasonably.

Description

technical field

[0001] The invention belongs to the technical field of visual acuity test and evaluation, in particular to a visual evaluation method for macular degeneration.

[0002] Background of the invention

[0003] Macular degeneration is a common medical disease. The macular area is an important area of ​​the retina, located at the posterior pole of the eye, and is mainly related to visual functions such as fine vision and color vision. Once lesions appear in the macular area, vision loss, black shadows in front of the eyes or visual distortion often occur.

[0004] According to the description of patients with macular degeneration, ordinary paper vision charts and vision charts with backlight light boxes cannot meet the needs of patients and cannot reflect the quality of vision of patients. Patients are more sensitive to differences in grayscale and contrast. For example, for a picture of a character, if the patient's vision is better, the background gray value of ...

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