Iskander D Robert, Collins Michael J, Morelande Mark R, Zhu Mingxia
Contact Lens and Visual Optics Laboratory, School of Optometry, Queensland University of Technology, Kelvin Grove Q4059, Australia.
IEEE Trans Biomed Eng. 2004 Nov;51(11):1969-80. doi: 10.1109/TBME.2004.834254.
The optics of the human eye are not static in steady viewing conditions and exhibit microfluctuations. Previous methods used for analyzing dynamic changes in the eye's optics include simple Fourier-transform-based methods, which have been used in studies of the eye's accommodation response. However, dedicated tools for the analysis of dynamic wavefront aberrations have not been reported. We propose a set of signal processing tools, the combination of which uncovers aspects of the dynamics of eye's optical aberrations which were hidden from conventional analysis techniques. The methodology includes extraction of artifacts from potentially significant eye movements, filtering, optimal parametric signal modeling, and frequency and time-frequency representations. The exposition of the techniques and their advantages over traditional techniques is illustrated for real dynamic eye wavefront aberration measurements.
在稳定的观察条件下，人眼的光学系统并非静止不变，而是呈现出微波动。以往用于分析眼睛光学动态变化的方法包括基于简单傅里叶变换的方法，这些方法已被用于眼睛调节反应的研究。然而，尚未有专门用于分析动态波前像差的工具被报道。我们提出了一套信号处理工具，这些工具的组合揭示了眼睛光学像差动态中传统分析技术所未发现的方面。该方法包括从潜在的显著眼动中提取伪迹、滤波、最优参数信号建模以及频率和时频表示。通过实际的动态眼波前像差测量，阐述了这些技术及其相对于传统技术的优势。
