Versek Craig, Rissmiller Armen, Tran Anthony, Taya Munish, Chowdhury Kaushik, Bex Peter, Sridhar Srinivas
NeuroFieldz Inc, 41 Esty Farm Road, Newton, MA.
Department of Physics, Northeastern University, 110 Forsyth St., 111 Dana Research Center, Boston, MA.
Mil Med. 2019 Mar 1;184(Suppl 1):584-592. doi: 10.1093/milmed/usy286.
A new product prototype system for diagnosing vision and neurological disorders, called NeuroDotVR, is described herein: this system utilizes a novel wireless NeuroDot brain sensor [Versek C et al. J Neural Eng. 2018 Aug; 15(4):046027] that quantitatively measures visual evoked potentials and fields resulting from custom visual stimuli displayed on a smartphone housed in a virtual reality headset. The NeuroDot brain sensor is unique in that it can be operated both in regular electroencephalography mode, as well as a new electric field encephalography mode, which yields improvements in signal sensitivity and provides new diagnostic information. Steady state and transient visual evoked potentials and fields using reversing checkerboard stimuli are presented with case studies in amblyopia, glaucoma, and dark adaptation. These preliminary data sets highlight potential clinical applications that may be pursued in further product development and scientific studies.
本文介绍了一种名为NeuroDotVR的用于诊断视力和神经疾病的新产品原型系统：该系统利用一种新型无线NeuroDot脑传感器[Versek C等人，《神经工程学杂志》，2018年8月；15(4):046027]，该传感器可定量测量由虚拟现实头戴式设备中智能手机上显示的定制视觉刺激所产生的视觉诱发电位和视野。NeuroDot脑传感器的独特之处在于它既可以在常规脑电图模式下操作，也可以在新的电场脑电图模式下操作，后者可提高信号灵敏度并提供新的诊断信息。本文通过弱视、青光眼和暗适应的案例研究，展示了使用反转棋盘格刺激的稳态和瞬态视觉诱发电位及视野。这些初步数据集突出了在进一步的产品开发和科学研究中可能探索的潜在临床应用。
