National Center for Adaptive Neurotechnologies, Stratton VA Medical Center, US Department of Veterans Affairs, 113 Holland Ave, Albany, NY 12208, United States of America.
Department of Electrical and Computer Engineering, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, United States of America.
J Neural Eng. 2021 Nov 26;18(6). doi: 10.1088/1741-2552/ac3264.
Present methods for assessing color vision require the person's active participation. Here we describe a brain-computer interface-based method for assessing color vision that does not require the person's participation.This method uses steady-state visual evoked potentials to identify metamers-two light sources that have different spectral distributions but appear to the person to be the same color.We demonstrate that: minimization of the visual evoked potential elicited by two flickering light sources identifies the metamer; this approach can distinguish people with color-vision deficits from those with normal color vision; and this metamer-identification process can be automated.This new method has numerous potential clinical, scientific, and industrial applications.
目前评估颜色视觉的方法需要被试者的积极参与。在这里,我们描述了一种基于脑机接口的颜色视觉评估方法,该方法不需要被试者的参与。该方法使用稳态视觉诱发电位来识别同色异谱体——两种光谱分布不同但被试者认为颜色相同的光源。我们证明了:通过最小化两个闪烁光源引起的视觉诱发电位,可以确定同色异谱体;该方法可以区分色觉缺陷者和正常色觉者;并且这个同色异谱体识别过程可以自动化。这种新方法具有许多潜在的临床、科学和工业应用。