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用于辅助技术中心通信的基于P300的脑机接口:用户特征对脑机接口接入的影响。

P300-based brain-computer interface for communication in assistive technology centres: influence of users' profile on BCI access.

作者信息

Galiotta Valentina, Caracci Valentina, Toppi Jlenia, Pichiorri Floriana, Colamarino Emma, Cincotti Febo, Mattia Donatella, Riccio Angela

机构信息

Neuroelectric Imaging and BCI Laboratory, Santa Lucia Foundation, Rome, Italy.

Department of Psychology, Sapienza University of Rome, Rome, Italy.

出版信息

J Neural Eng. 2025 Jun 24;22(3). doi: 10.1088/1741-2552/addf7f.

Abstract

. Assistive technology (AT) refers to any product that enables people to live independently and with dignity and to participate in activities of daily life. A brain-computer interface (BCI) is an AT that provides an alternative output, based on neurophysiological signals, to control an external device. The aim of the study is to screen patients accessing an AT-centre to investigate their eligibility for BCI access and the factors influencing the BCI control.. Thirty-five users and 11 healthy subjects were included in the study. Participants were required to operate a P300-speller BCI. We evaluated the influence of clinical diagnosis, socio-demographic factors, level of dependence and disability of users, neuropsychological profile on BCI performance.. The 7.1% of the users controlled the system with a mean accuracy of 93.6 ± 8.0%, while 8 users had an online accuracy below 70%. We found that the neuropsychological profile significantly affected online accuracy and ITR.. The percentage of users who had an accuracy considered functional for communication is an encouraging data in terms of BCI effectiveness. The results regarding accuracy and factors influencing (and not influencing) it, are a contribution to the introduction of BCIs in the AT-centres, considering the BCI for communication both as an AT and as an additional input to provide multimodal access to AT.

摘要

辅助技术(AT)是指任何能使人们独立且有尊严地生活并参与日常生活活动的产品。脑机接口(BCI)是一种辅助技术,它基于神经生理信号提供替代输出,以控制外部设备。本研究的目的是对访问辅助技术中心的患者进行筛查,以调查他们使用脑机接口的资格以及影响脑机接口控制的因素。35名用户和11名健康受试者参与了该研究。参与者被要求操作一个P300拼写器脑机接口。我们评估了临床诊断、社会人口学因素、用户的依赖程度和残疾程度、神经心理学特征对脑机接口性能的影响。7.1%的用户能够控制该系统,平均准确率为93.6±8.0%,而有8名用户的在线准确率低于70%。我们发现神经心理学特征显著影响在线准确率和信息传输率。就脑机接口的有效性而言,具有被认为对交流有效的准确率的用户百分比是一个令人鼓舞的数据。考虑到将用于交流的脑机接口既作为一种辅助技术,又作为提供对辅助技术多模态访问的额外输入,关于准确率以及影响(和不影响)准确率的因素的结果,有助于在辅助技术中心引入脑机接口。

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