中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-channel Neural Signal Recording System for an Implantable Brain-Computer Interface

文献类型:会议论文

作者Qingya Li; Zhiwei Zhang; Mingxia Shi; Xiaoyan Tao
出版日期2024
会议日期2024-7-15~2024-7-19
会议地点美国
DOI
英文摘要

Simultaneous recordings of neural activity at massive scope, in the long term, and under bio-safety conditions, could provide crucial information, which helps in better understanding the operation mechanism of the brain and promotes the clinical application evolution for the brain-computer interface. For this purpose, a multi-channel neural signal recording system is presented, which can record up to 2048-channel neural signals by multiple connections of a customized collection system. The system consists of a sensor array module, a central controller module, and an upper computer module. with the modular design method, the sensor array module can be contrived by changing the number of channels. The single-channel data acquisition module has a sampling resolution of 16 bits, and a sampling rate of 30 KSamples/s. The central controller module can establish a connection between the sensor array module and the upper computer module, and control their operations. The upper computer module can present the data results. The system verifies the performance of the multi-channel data acquisition through the analog neural signal.

URL标识查看原文
源URL[http://ir.ia.ac.cn/handle/173211/57162]  
专题国家专用集成电路设计工程技术研究中心_信号处理及脑机接口芯片
通讯作者Qingya Li
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Qingya Li,Zhiwei Zhang,Mingxia Shi,et al. Multi-channel Neural Signal Recording System for an Implantable Brain-Computer Interface[C]. 见:. 美国. 2024-7-15~2024-7-19.

入库方式: OAI收割

来源:自动化研究所

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