摘要
脑机接口技术(BCI)可为人脑和外界建立一种全新的直接的交互方式,具有非常广阔的应用前景。脑电采集设备作为脑机接口采集信号的重要手段和途径,是其技术的关键和基础,已得到广泛关注。近年脑机接口研究呈爆炸式增长,各种脑电采集技术与应用不断涌现。未来,脑电采集设备在科学、医疗、军事、生活等领域具有巨大的应用潜力。为理清目前脑电采集设备硬件系统的发展现状和发展方向,从基本组成结构、性能优化电路以及现有产品等方面进行剖析。归纳脑电采集设备的4个主要组成部分,进一步分类并讨论脑电采集设备性能优化方法;对比现有的主流产品的关键指标,探讨它们的功能特性;分析现有脑电采集设备的不足之处,并对其发展趋势进行展望。
Brain computer interface(BCI)builds a novel and direct interactive mode between human brain and the outside,so that it has a very broad application prospects.Electroencephalogram(EEG)acquisition device,as an important means and approach of signals acquisition for BCI,is the critical point and foundation of the BCI technology and has received intensive attention.Owing to the explosive growth of the BCI research recently,various techniques of EEG acquisition spring up constantly.In the future,EEG acquisition devices will have huge application potential in the fields of science,medicine,military and human life.In order to clarify the development status and development direction of EEG acquisition devices,this paper discussed basic structure,performance optimization circuit and existing EEG acquisition products.F irstly,four main components of EEG acquisition equipment were analyzed.The performance optimization method of EEG acquisition equipm ent was classified and summarized,the key indicators of the existing mainstream EEG products were compared,their functional characteristics were expounded.Finally,the shortcomings of the existing EEG acquisition eq uipm ent were analyzed and its future development tendency was prospected.
作者
贺庆
郝思聪
司娟宁
吴迎年
程杰
He Qing;Hao Sicong;Si Juanning;Wu Yingnian;Cheng Jie(School of Instrument Science and Opto-Electronics Engineering,Beijing Information Science and Technology University,Beijing 100192,China;School of Automation,Beijing Information Science and Technology University,Beijing 100192,China)
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2020年第6期747-758,共12页
Chinese Journal of Biomedical Engineering
基金
北京市教委科技计划一般项目(KM201911232019)
北京信息科技大学2020年人才培养质量提高项目
2018年促进高校内涵发展“信息+”项目(5111823311)。
关键词
脑机接口
脑电
采集设备
微弱信号
brain-computer interface(BCI)
EEG
acquisition devices
weak signal
