Terracciano Rossana, Sanginario Alessandro, Puleo Luana, Demarchi Danilo
Department of Electronics and Telecommunications, Politecnico Di Torino, 10129, Torino, Italy.
Doc Ophthalmol. 2022 Apr;144(2):125-135. doi: 10.1007/s10633-021-09856-6. Epub 2021 Oct 18.
The objective of this work is to evaluate the performances of a novel integrated device, based on passive head-mounted display (HMD), for the pattern reversal visual evoked potential (PR-VEP) clinical test.
Google Cardboard® is used as passive HMD to generate the checkerboard pattern stimuli through an Android® application. Electroencephalographic signals are retrieved and processed over 20 subjects, 12 females and 8 males between 20 and 26 years. Morphological PR-VEPs and frequency response were compared with previous literature results, to test the reproducibility and the efficacy of the proposed solution.
PR-VEPs evoked by our novel prototype showed typical triphasic waveforms in moderate agreement with those obtained with other more expensive HMDs and standard commercial devices. Statistical analysis did not highlight strong differences among the systems over the features analyzed except for the P100 amplitude and peak time (**p < 0.005).
The proposed solution opens the door for a new generation of non-invasive first-level diagnostic devices of optic nerve pathologies inexpensive and easy to access.
本研究旨在评估一种基于被动式头戴显示器(HMD)的新型集成设备在图形翻转视觉诱发电位(PR-VEP)临床测试中的性能。
使用谷歌纸板(Google Cardboard®)作为被动式HMD,通过安卓(Android®)应用程序生成棋盘格图案刺激。对20名年龄在20至26岁之间的受试者(12名女性和8名男性)的脑电图信号进行采集和处理。将形态学PR-VEP和频率响应与先前文献结果进行比较,以测试所提出解决方案的可重复性和有效性。
我们的新型原型设备诱发的PR-VEP显示出典型的三相波形,与其他更昂贵的HMD和标准商业设备获得的波形中度一致。除P100波幅和峰值时间外(**p < 0.005),统计分析未突出显示各系统在所分析特征上的显著差异。
所提出的解决方案为新一代用于视神经病变的无创一级诊断设备打开了大门,这类设备价格低廉且易于使用。