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基于EEG的脑机接口发展综述 被引量:9

A Review of the Development of Brain-computer Interface Based on EEG
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摘要 随着无线传输、机器学习、人工智能等技术的进步,基于脑电图(EEG)的脑机接口(BCI)技术的研究相应增加,作为一种变革性的通讯和控制技术,脑机接口可以广泛地应用于康复医疗、游戏娱乐、军事应用、家居智能等领域,具备千亿级别的应用市场;综述了基于EEG的典型脑机接口范式,包括MI-BCI、P300-BCI、SSVEP-BCI等范式的基本原理、研究现状和典型应用场景,对各类范式的优缺点进行了评价,提出了当前研究中面临的技术和伦理等方面的风险挑战,并对其发展和应用前景作了展望。 With the progress of wireless transmission,machine learning technology and artificial intelligence,the research on brain-computer interface technology based on electroencephalogram(EEG)is increasing accordingly.As a revolutionary communication and control technology,brain-computer interface can be widely used in rehabilitation medicine,games and entertainment,military applications,home intelligence and other fields,with hundreds of billions of application market.This paper summarizes the basic principles,research status and typical applications of brain-computer interface paradigms based on EEG,including MI-BCI,P300-BCI,SSVEP-BCI,etc.,evaluating the advantages and disadvantages of these paradigms.It also puts forward the main technical and ethical risks and challenges the current research faces,and looks forward to their development and application prospects.
作者 姜耿 赵春临 JIANG Geng;ZHAO Chunlin(Postgraduate Brigade,Engineering University of PAP,Xi'an 710086,Chain;College of Equipment Management and Support,Engineering University of PAP,Xi'an 710086,Chain)
出处 《计算机测量与控制》 2022年第7期1-8,共8页 Computer Measurement &Control
关键词 脑机接口(BCI) 脑电图(EEG) 运动想象(MI) P300 视觉稳态诱发电位(SSVEP) 感觉运动节律(SMR) brain-computer interface(BCI) electroencephalogram(EEG) motor image(MI) P300 steady-state visual evoked potential(SSVEP) sensorimotor rhythm(SMR)
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