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提取反映用户对脑机接口使用的情绪和情感反应的神经生理信号:一项系统的文献综述。

Extracting neurophysiological signals reflecting users' emotional and affective responses to BCI use: A systematic literature review.

作者信息

Liberati Giulia, Federici Stefano, Pasqualotto Emanuele

机构信息

Université Catholique de Louvain, Institute of Neuroscience, Louvain, Belgium.

Università di Perugia, Department of Philosophy, Social & Human Sciences and Education, Perugia, Italy.

出版信息

NeuroRehabilitation. 2015;37(3):341-58. doi: 10.3233/NRE-151266.

DOI:10.3233/NRE-151266
PMID:26518530
Abstract

BACKGROUND

Brain-computer interfaces (BCIs) allow persons with impaired mobility to communicate and interact with the environment, supporting goal-directed thinking and cognitive function. Ideally, a BCI should be able to recognize a user's internal state and adapt to it in real-time, to improve interaction.

OBJECTIVE

Our aim was to examine studies investigating the recognition of affective states from neurophysiological signals, evaluating how current achievements can be applied to improve BCIs.

METHODS

Following the PRISMA guidelines, we performed a literature search using PubMed and ProQuest databases. We considered peer-reviewed research articles in English, focusing on the recognition of emotions from neurophysiological signals in view of enhancing BCI use.

RESULTS

Of the 526 identified records, 30 articles comprising 32 studies were eligible for review. Their analysis shows that the affective BCI field is developing, with a variety of combinations of neuroimaging techniques, selected neurophysiological features, and classification algorithms currently being tested. Nevertheless, there is a gap between laboratory experiments and their translation to everyday situations.

CONCLUSIONS

BCI developers should focus on testing emotion classification with patients in ecological settings and in real-time, with more precise definitions of what they are investigating, and communicating results in a standardized way.

摘要

背景

脑机接口(BCI)使行动不便者能够与环境进行通信和交互,支持目标导向思维和认知功能。理想情况下,脑机接口应能够识别用户的内部状态并实时适应,以改善交互。

目的

我们的目的是研究从神经生理信号识别情感状态的研究,评估当前的成果如何应用于改进脑机接口。

方法

按照PRISMA指南,我们使用PubMed和ProQuest数据库进行文献检索。我们考虑了英文的同行评审研究文章,重点是从神经生理信号中识别情绪以增强脑机接口的使用。

结果

在识别出的526条记录中,有30篇文章(包括32项研究)符合评审条件。分析表明,情感脑机接口领域正在发展,目前正在测试各种神经成像技术、选定的神经生理特征和分类算法的组合。然而,实验室实验与将其转化为日常情况之间存在差距。

结论

脑机接口开发者应专注于在生态环境中对患者进行实时情绪分类测试,更精确地定义他们所研究的内容,并以标准化方式交流结果。

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