Marple-Horvat D E, Gilbey S L, Hollands M A
Department of Physiology, School of Medical Sciences, University of Bristol, UK.
J Neurosci Methods. 1996 Aug;67(2):191-5.
We describe a technique for reliable and rapid automatic identification of saccades in eye movement records. The signal processing that we describe will be useful to anyone wanting to analyse large numbers (thousands) of eye movements. We describe a transform that is derived from the differentiated eye movement record, and which is related to a transform previously used to automate analysis of EMG recordings.
我们描述了一种用于在眼动记录中可靠且快速自动识别扫视的技术。我们所描述的信号处理方法对于任何想要分析大量(数千个)眼动数据的人来说都将是有用的。我们描述了一种从微分眼动记录中推导出来的变换,它与先前用于肌电图记录自动分析的一种变换相关。