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本文引用的文献

1
Toward EEG-Based BCI Applications for Industry 4.0: Challenges and Possible Applications.面向工业4.0的基于脑电图的脑机接口应用:挑战与可能的应用
Front Hum Neurosci. 2021 Aug 13;15:705064. doi: 10.3389/fnhum.2021.705064. eCollection 2021.
2
Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain-Computer Interfaces: A Systematic Literature Review.用于辅助、适应和康复脑机接口的非侵入性脑电图设备:系统文献综述。
Sensors (Basel). 2021 Jul 12;21(14):4754. doi: 10.3390/s21144754.
3
Decoding Imagined Speech Based on Deep Metric Learning for Intuitive BCI Communication.基于深度度量学习的想象语音解码用于直观的脑机通信。
IEEE Trans Neural Syst Rehabil Eng. 2021;29:1363-1374. doi: 10.1109/TNSRE.2021.3096874. Epub 2021 Jul 20.
4
Combined real-time fMRI and real time fNIRS brain computer interface (BCI): Training of volitional wrist extension after stroke, a case series pilot study.实时 fMRI 和近红外光谱脑机接口联合应用:脑卒中后随意腕伸展的训练,一项病例系列初步研究。
PLoS One. 2021 May 6;16(5):e0250431. doi: 10.1371/journal.pone.0250431. eCollection 2021.
5
[Human factors engineering of brain-computer interface and its applications: Human-centered brain-computer interface design and evaluation methodology].脑机接口的人因工程学及其应用:以用户为中心的脑机接口设计与评估方法
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2021 Apr 25;38(2):210-223. doi: 10.7507/1001-5515.202101093.
6
Defining Surgical Terminology and Risk for Brain Computer Interface Technologies.定义脑机接口技术的外科术语和风险。
Front Neurosci. 2021 Mar 26;15:599549. doi: 10.3389/fnins.2021.599549. eCollection 2021.
7
Editorial: Breakthrough BCI Applications in Medicine.社论:脑机接口在医学领域的突破性应用
Front Neurosci. 2020 Dec 16;14:598247. doi: 10.3389/fnins.2020.598247. eCollection 2020.
8
Brain-computer interfaces: Definitions and principles.脑机接口:定义与原理。
Handb Clin Neurol. 2020;168:15-23. doi: 10.1016/B978-0-444-63934-9.00002-0.
9
When Thinking is Doing: Responsibility for BCI-Mediated Action.当思考即行动:脑机接口介导行动的责任
AJOB Neurosci. 2020 Jan-Mar;11(1):46-58. doi: 10.1080/21507740.2019.1704918.
10
An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System.基于多频 CSP-Rank 的运动想象脑-机接口系统优化通道选择方法。
Comput Intell Neurosci. 2019 May 13;2019:8068357. doi: 10.1155/2019/8068357. eCollection 2019.

[脑机接口技术的应用、产业变革与商业价值]

[Applications, industrial transformation and commercial value of brain-computer interface technology].

作者信息

Luo Jiangong, Ding Peng, Gong Anmin, Tian Guixin, Xu Haotian, Zhao Lei, Fu Yunfa

机构信息

School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.

Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, P. R. China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2022 Apr 25;39(2):405-415. doi: 10.7507/1001-5515.202108068.

DOI:10.7507/1001-5515.202108068
PMID:35523563
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9927342/
Abstract

Brain-computer interface (BCI) is a revolutionary human-computer interaction technology, which includes both BCI that can output instructions directly from the brain to external devices or machines without relying on the peripheral nerve and muscle system, and BCI that bypasses the peripheral nerve and muscle system and inputs electrical, magnetic, acoustic and optical stimuli or neural feedback directly to the brain from external devices or machines. With the development of BCI technology, it has potential application not only in medical field, but also in non-medical fields, such as education, military, finance, entertainment, smart home and so on. At present, there is little literature on the relevant application of BCI technology, the current situation of BCI industrialization at home and abroad and its commercial value. Therefore, this paper expounds and discusses the above contents, which are expected to provide valuable information for the public and organizations, BCI researchers, BCI industry translators and salespeople, and improve the cognitive level of BCI technology, further promote the application and industrial transformation of BCI technology and enhance the commercial value of BCI, so as to serve mankind better.

摘要

脑机接口(BCI)是一种革命性的人机交互技术,它既包括不依赖外周神经和肌肉系统就能直接将大脑指令输出到外部设备或机器的脑机接口,也包括绕过外周神经和肌肉系统、直接从外部设备或机器向大脑输入电、磁、声、光刺激或神经反馈的脑机接口。随着脑机接口技术的发展,它不仅在医疗领域有潜在应用,在教育、军事、金融、娱乐、智能家居等非医疗领域也有潜在应用。目前,关于脑机接口技术的相关应用、国内外脑机接口产业化现状及其商业价值的文献较少。因此,本文对上述内容进行阐述和探讨,期望为公众和组织、脑机接口研究人员、脑机接口行业翻译人员及销售人员提供有价值的信息,提高对脑机接口技术的认知水平,进一步推动脑机接口技术的应用和产业转化,提升脑机接口的商业价值,从而更好地服务人类。