Juhola M, Jäntti V, Pyykkö I, Magnusson M, Schalén L, Akesson M
Comput Methods Programs Biomed. 1985 Nov;21(2):81-8. doi: 10.1016/0169-2607(85)90066-5.
Saccadic eye movements provide important information about the neuron system at several levels. In recent years computer analysis of saccades has been adapted for use in clinical work. The most common detection methods do not always function without the user's control and aid. In the present paper a digital filter is described for the detection of saccades. This non-recursive filter unscrambles saccade data which has been collected during the execution of an algorithm. The method is suitable for use with microcomputers. The filter is adaptive. Two concise experiments using the method are described.
扫视眼动在多个层面为神经系统提供重要信息。近年来,对扫视的计算机分析已被应用于临床工作。最常用的检测方法若没有用户的控制和协助,并不总能正常运行。在本文中,描述了一种用于检测扫视的数字滤波器。这种非递归滤波器可整理在算法执行过程中收集到的扫视数据。该方法适用于微型计算机。该滤波器具有自适应能力。文中描述了使用该方法的两个简要实验。