基于 P300 的脑-机接口设计与实现及其在网络浏览器控制中的应用。

Design and implementation of a P300-based brain-computer interface for controlling an internet browser.

机构信息

Bioengineering Department, University of Illinoisat Chicago, Chicago, IL 60607, USA.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2010 Dec;18(6):599-609. doi: 10.1109/TNSRE.2010.2068059. Epub 2010 Aug 30.

Abstract

An electroencephalographic (EEG) brain-computer interface (BCI) internet browser was designed and evaluated with 10 healthy volunteers and three individuals with advanced amyotrophic lateral sclerosis (ALS), all of whom were given tasks to execute on the internet using the browser. Participants with ALS achieved an average accuracy of 73% and a subsequent information transfer rate (ITR) of 8.6 bits/min and healthy participants with no prior BCI experience over 90% accuracy and an ITR of 14.4 bits/min. We define additional criteria for unrestricted internet access for evaluation of the presented and future internet browsers, and we provide a review of the existing browsers in the literature. The P300-based browser provides unrestricted access and enables free web surfing for individuals with paralysis.

摘要

我们设计并评估了一种基于脑电图(EEG)的脑-机接口(BCI)网络浏览器,共有 10 名健康志愿者和 3 名晚期肌萎缩侧索硬化症(ALS)患者参与。所有参与者都需要使用该浏览器在网络上执行特定任务。患有 ALS 的参与者的平均准确率为 73%,随后的信息传输率(ITR)为 8.6 位/分钟,而没有 BCI 经验的健康参与者的准确率超过 90%,ITR 为 14.4 位/分钟。我们定义了用于评估现有和未来网络浏览器的无限制互联网访问的其他标准,并对文献中的现有浏览器进行了回顾。基于 P300 的浏览器提供了无限制的访问权限,使瘫痪患者能够自由浏览网页。

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