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:在这项工作中,我们开发了一种可穿戴的头戴式设备,该设备可以自动计算患者的精确相对传入瞳孔缺损(RAPD)值。该设备包括两个RGB LED、两个红外摄像头和一个微控制器。在RAPD测试中,用户可以控制LED开关持续时间、亮度级别和光的颜色这些参数。在数据采集后,计算单元会处理数据,计算RAPD分数并使用用户友好的界面可视化测试结果。GUI上使用了多处理方法来优化处理管道。我们已经证明,我们的头戴式仪器易于使用,快速,并适用于早期诊断和筛查多种神经系统疾病,如RAPD、青光眼、不对称性青光眼和锥状瞳孔。