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Glaucoma testing using non-linear systems identification techniques

机译:使用非线性系统识别技术进行青光眼测试

摘要

A diagnostic test for glaucoma, which can detect the early stages of this disease, uses a pattern electroretinogram of a subject to assess any reduction of the density of M.sub.y ganglion cells in a part of the subject's retina. The visual field of the eye of the subject is divided into a number of zones, and a respective visual stimulus signal is applied to each zone. The visual stimulus signals are generated in accordance with data obtained from determinations of the critical spatial frequency (Nyquist frequency) of persons with normal vision, obtained from observations of the "aliasing" phenomenon. Typical visual stimulus signals are grating patterns, with the contrast of the signal applied to each zone modulated with a different temporal frequency in the range of from 10 Hz to 45 Hz. Any differences between the electroretinogram response component for an individual zone and the expected response component for that zone indicates a change in the M.sub.y ganglion cell function in that zone, attributable to the effect of glaucoma.
机译:青光眼的诊断测试可以检测出该病的早期阶段,它使用受试者的视网膜电图来评估受试者视网膜一部分中神经节神经节细胞密度的任何降低。受试者的眼睛的视野被分成多个区域,并且相应的视觉刺激信号被施加到每个区域。视觉刺激信号是根据从正常视力人员的临界空间频率(奈奎斯特频率)的确定中获得的数据生成的,该正常空间是从“混叠”现象的观察中获得的。典型的视觉刺激信号是光栅图案,其中施加到每个区域的信号的对比度由10 Hz至45 Hz范围内的不同时间频率调制。单个区域的视网膜电图响应成分与该区域的预期响应成分之间的任何差异都表明该区域的My神经节细胞功能发生了变化,这归因于青光眼的影响。

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