Yao Jun-Ping, Tai Zheng, Yin Zheng-Qin
Department of Ophthalmology, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan 430036, Hubei Province, China ; Chongqing Key Lab of Visual Damage and Regeneration & Restoration, Chongqing 400038, China.
Chongqing Broadcasting Group, Chongqing 400039, China ; Chongqing Key Lab of Visual Damage and Regeneration & Restoration, Chongqing 400038, China.
Int J Ophthalmol. 2014 Feb 18;7(1):95-9. doi: 10.3980/j.issn.2222-3959.2014.01.17. eCollection 2014.
To construct a new visual acuity measuring function for congenital nystagmus (CN) patients by studying the relationships between acuity, velocities and positions of the eye.
After assessing the relationship between acuity, movement velocities and positions of the eye separately, a new function, which we call the automated nystagmus acuity function (ANAF), was constructed to measure the visual acuity of CN patients. Using a high-speed digital video system working at 500 frames per second, each eye was calibrated during monocular fixation. Twenty-six recorded nystagmus data were selected randomly. Using nystagmus waveforms, the best vision position (foveation period) and visual acuity were analyzed in three groups of subjects, and then all outputs were compared with the well-known expanded nystagmus acuity function (NAFX) and ANAF. Standard descriptive statistics were used to summarize the outputs of the two programs.
Foveation periods were brief intervals in the CN waveform when the image was on or near the fovea and eye velocity was relatively slow. Results showed good visual acuity happened during the period when velocity was low and the eye position was near the zero position, which fitted the foveation periods. The data analyzed with NAFX and ANAF had a correlation coefficient of 0.934276, with an average error of -0.00973.
The results from ANAF and NAFX analyses showed no significant difference. The NAFX manually identifies foveation eye positions and produces accurate measurements. The ANAF, however, can be calculated simply using the factors eye position and velocity, and it automatically calculates the ANAF without the need to manually identify foveation eye positions.
通过研究视力、眼球速度和位置之间的关系,为先天性眼球震颤(CN)患者构建一种新的视力测量功能。
在分别评估视力、眼球运动速度和位置之间的关系后,构建了一种新的功能,即自动眼球震颤视力功能(ANAF),用于测量CN患者的视力。使用每秒500帧的高速数字视频系统,在单眼注视期间对每只眼睛进行校准。随机选择26条记录的眼球震颤数据。利用眼球震颤波形,对三组受试者的最佳视力位置(注视期)和视力进行分析,然后将所有输出结果与著名的扩展眼球震颤视力功能(NAFX)和ANAF进行比较。使用标准描述性统计来总结两个程序的输出结果。
当图像位于或靠近中央凹且眼球速度相对较慢时,注视期是CN波形中的短暂间隔。结果显示,在速度较低且眼球位置接近零位置的期间发生了良好的视力,这与注视期相符。用NAFX和ANAF分析的数据相关系数为0.934276,平均误差为-0.00973。
ANAF和NAFX分析结果无显著差异。NAFX手动识别注视眼球位置并产生准确测量结果。然而,ANAF可以简单地使用眼球位置和速度因素进行计算,并且它无需手动识别注视眼球位置即可自动计算ANAF。