In this work, we developed a wearable, head-mounted device that automatically calculates the precise Relative Afferent Pupillary Defect (RAPD) value of a patient. The device consists of two RGB LEDs, two infrared cameras, and one microcontroller. In the RAPD test, the parameters like LED on-off durations, brightness level, and color of the light can be controlled by the user. Upon data acquisition, a computational unit processes the data, calculates the RAPD score and visualizes the test results with a user-friendly interface.Multiprocessing methods used on GUI to optimize the processing pipeline. We have shown that our head-worn instrument is easy to use, fast, and suitable for early-diagnostics and screening purposes for various neurological conditions such as RAPD, glaucoma, asymmetric glaucoma, and anisocoria.

翻译：本研究开发了一款可穿戴头戴式设备，可自动计算患者精确的相对传入性瞳孔缺陷（Relative Afferent Pupillary Defect, RAPD）值。该设备由两个RGB LED、两个红外摄像头和一个微控制器组成。在RAPD测试中，用户可控制LED开关时长、亮度及光色等参数。数据采集后，计算单元处理数据，计算RAPD评分并通过用户友好界面可视化测试结果。图形用户界面采用多进程方法优化处理流程。研究表明，该头戴式设备操作简便、快速，适用于RAPD、青光眼、非对称性青光眼及瞳孔不等大等多种神经系统疾病的早期诊断和筛查。