对EyeLink 1000眼动数据的滤波：启发式滤波器、Savitzky-Golay滤波器、IIR与FIR数字滤波器的比较
Filtering Eye-Tracking Data From an EyeLink 1000: Comparing Heuristic, Savitzky-Golay, IIR and FIR Digital Filters
AI总结：
本研究针对眼动数据滤波需保留扫视等事件的需求，对比5种滤波器的去噪与自相关性影响，发现自研零相位FIR滤波器去噪效果最优，STD滤波器引入的自相关性最小。
摘要：
在之前的报告（Raju等人，2023）中我们得出结论：如果研究目标是保留眼动记录中的扫视、微扫视和平滑追踪等事件，那么正弦波频率低于100 Hz（-3db）的数据为有效信号，高于100 Hz的数据为噪声。本研究比较了5种滤波器在保留信号、去除噪声方面的性能。具体而言，我们对比了EyeLink 1000（加拿大渥太华SR-Research公司）提供的专有STD和EXTRA启发式滤波器、Savitzky-Golay（SG）滤波器、无限脉冲响应（IIR）滤波器（低通巴特沃斯型）以及有限脉冲响应（FIR）滤波器。针对每种非启发式滤波器，我们系统地搜索了最优参数，其中IIR和FIR滤波器均为零相位滤波器。本文提供了全部5种滤波器的平均频率响应曲线与幅度谱。此外，我们还检验了这些滤波器对含噪记录的处理效果。我们的FIR滤波器具有最陡峭的滚降特性，因此在保留信号、去除噪声方面的表现优于其他所有滤波器，基于此我们推荐使用该FIR滤波器。已有多项研究表明滤波会增加信号的时间自相关性，为解决这一问题，本研究还从自相关性（具体为前3个滞后项）角度评估了这些滤波器。在所有受测滤波器中，STD滤波器引入的自相关性最小。
英文摘要：
In a previous report (Raju et al.,2023) we concluded that, if the goal was to preserve events such as saccades, microsaccades, and smooth pursuit in eye-tracking recordings, data with sine wave frequencies less than 100 Hz (-3db) were the signal and data above 100 Hz were noise. We compare 5 filters in their ability to preserve signal and remove noise. Specifically, we compared the proprietary STD and EXTRA heuristic filters provided by our EyeLink 1000 (SR-Research, Ottawa, Canada), a Savitzky-Golay (SG) filter, an infinite impulse response (IIR) filter (low-pass Butterworth), and a finite impulse filter (FIR). For each of the non-heuristic filters, we systematically searched for optimal parameters. Both the IIR and the FIR filters were zero-phase filters. Mean frequency response profiles and amplitude spectra for all 5 filters are provided. In addition, we examined the effect of our filters on a noisy recording. Our FIR filter had the sharpest roll-off of any filter. Therefore, it maintained the signal and removed noise more effectively than any other filter. On this basis, we recommend the use of our FIR filter. Several reports have shown that filtering increased the temporal autocorrelation of a signal. To address this, the present filters were also evaluated in terms of autocorrelation (specifically the first 3 lags). Of all our filters, the STD filter introduced the least amount of autocorrelation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
