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关于用于康复和机器人技术的运动想象和稳态视觉诱发电位中脑机接口的文献计量学综述

A Bibliometric Review of Brain-Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics.

作者信息

Chio Nayibe, Quiles-Cucarella Eduardo

机构信息

Instituto de Automática e Informática Industrial, Universitat Politècnica de València, 46022 Valencia, Spain.

Facultad de Ingeniería, Ingeniería Mecatrónica, Universidad Autónoma de Bucaramanga, Bucaramanga 680003, Colombia.

出版信息

Sensors (Basel). 2024 Dec 30;25(1):154. doi: 10.3390/s25010154.

DOI:10.3390/s25010154
PMID:39796947
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11722989/
Abstract

In this paper, a bibliometric review is conducted on brain-computer interfaces (BCI) in non-invasive paradigms like motor imagery (MI) and steady-state visually evoked potentials (SSVEP) for applications in rehabilitation and robotics. An exploratory and descriptive approach is used in the analysis. Computational tools such as the biblioshiny application for R-Bibliometrix and VOSViewer are employed to generate data on years, sources, authors, affiliation, country, documents, co-author, co-citation, and co-occurrence. This article allows for the identification of different bibliometric indicators such as the research process, evolution, visibility, volume, influence, impact, and production in the field of brain-computer interfaces for MI and SSVEP paradigms in rehabilitation and robotics applications from 2000 to August 2024.

摘要

在本文中，我们对脑机接口（BCI）进行了文献计量综述，该综述涉及运动想象（MI）和稳态视觉诱发电位（SSVEP）等非侵入性范式，用于康复和机器人技术应用。分析采用探索性和描述性方法。使用诸如用于R-Bibliometrix的biblioshiny应用程序和VOSViewer等计算工具来生成关于年份、来源、作者、机构、国家、文献、共同作者、共被引和共现的数据。本文有助于识别不同的文献计量指标，如2000年至2024年8月期间，康复和机器人技术应用中MI和SSVEP范式的脑机接口领域的研究过程、发展、知名度、数量、影响力、影响和产出。

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