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脑-机交互控制中脑神经电信号提取、传输与控制植入式系统的设计方案
引用本文:谢翔,李国林,张春,王志华.脑-机交互控制中脑神经电信号提取、传输与控制植入式系统的设计方案[J].中国组织工程研究与临床康复,2005,9(4):250-253.
作者姓名:谢翔  李国林  张春  王志华
作者单位:清华大学电子工程系,北京市,100084
摘    要:目的 随着微电子学和显微外科手术水平的发展,使得在生物体脑内直接提取各种信息已成为可能.如何能在人脑与电脑之间建立一种不依靠人脑与人体组织的通信路径?为此探讨获得一个合理的用于脑-机交互控制中脑神经电信号提取、传输与控制植入式系统的设计方案. 方法 通过把最新的微电子技术运用到脑电生物信号的提取领域.提出了一种用于脑机交互控制中的脑神经电信号提取、传输与控制的植入式电子系统设计方案.并对方案中所涉及的关键技术、难点以及可能的解决方法进行了详细讨论. 结果系统方案主要由如下几部分组成神经电极阵列( 16× 16个神经电极组成)、低噪声放大器、仪表放大器,多路选择器、 A/D转换器( 12 bit分辨率)、数据压缩、编码器、无线收发器、解码器、控制单元与能量管理单元、可控电流源、射频提能电路或电池以及天线等.系统的工作原理可根据信号的流向分为两部分①神经电信号的提取与无线发送.②接收脑外的指令,根据指令对脑神经施加相应的电刺激. 结论提出的方案能对 16× 16的不同深度的脑神经电信号进行采集,数据精度能达到 12 bit,是一个闭环控制系统.

关 键 词:微电子学  显微外科手术  脑-机交互控制  植入式系统

Design of an implantable system for the extraction, transmission and control of the cranial neural electric signals in brain computer interface
XIE Xiang,LI Guo-lin,Zhang Chun,Wang Zhi-hua.Design of an implantable system for the extraction, transmission and control of the cranial neural electric signals in brain computer interface[J].Journal of Clinical Rehabilitative Tissue Engineering Research,2005,9(4):250-253.
Authors:XIE Xiang  LI Guo-lin  Zhang Chun  Wang Zhi-hua
Abstract:AIM:With the development of microelectronics and the microsurgery,it becomes possible to directly extract all kinds of information from the brains of organisms.How to establish a communicative pathway that does not dependent on human brain and human tissues between human brain and computer?Hence,we explored a design project of an implantable system that could be reasonably applied in the extraction,transmission and control of the cranial neural electric signals in brain computer interface(BCI). METHODS:To bring out a design project of an implantable electric system for the extraction,transmission and control of the cranial neural electric signals through the application of the latest microelectronic techniques into the domain of the extraction of brain electric signal and to discuss in detail the key technique,difficulty and possible solutions involved in the projects. CONCLUSION:The proposed project can collect cranial neural electric signals from different depth within 16× 16 with the data precision of 12 bit,which is a closed loop control system.
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