Speier William, Chandravadia Nand, Roberts Dustin, Pendekanti S, Pouratian Nader
Department of Neurosurgery, University of California, Los Angeles, USA.
Neuroscience Interdepartmental Program, University of California, Los Angeles, USA.
Brain Comput Interfaces (Abingdon). 2017;4(1-2):114-121. doi: 10.1080/2326263X.2016.1252143. Epub 2016 Nov 15.
The P300 speller is a common brain-computer interface system that can provide a means of communication for patients with amyotrophic lateral sclerosis (ALS). Recent studies have shown that incorporating language information in signal classification can improve system performance, but they have largely been tested on healthy volunteers in a laboratory setting. The goal of this study was to demonstrate the functionality of the P300 speller system with language models when used by ALS patients in their homes. Six ALS patients with functional ratings ranging from two to 28 participated in this study. All subjects had improved offline performance when using a language model and five subjects were able to type at least six characters per minute with over 84% accuracy in online sessions. The results of this study indicate that the improvements in performance using language models in the P300 speller translate into the ALS population, which could help to make it a viable assistive device.
P300 拼写器是一种常见的脑机接口系统，可为肌萎缩侧索硬化症（ALS）患者提供一种交流方式。最近的研究表明，在信号分类中纳入语言信息可以提高系统性能，但这些研究大多是在实验室环境中对健康志愿者进行测试的。本研究的目的是展示 P300 拼写器系统在 ALS 患者家中使用语言模型时的功能。六名功能评分在 2 至 28 之间的 ALS 患者参与了本研究。所有受试者在使用语言模型时离线性能均有所提高，并且五名受试者在在线会话中能够以每分钟至少六个字符的速度打字，准确率超过 84%。本研究结果表明，P300 拼写器中使用语言模型带来的性能提升在 ALS 人群中也适用，这可能有助于使其成为一种可行的辅助设备。
