首页 | 本学科首页   官方微博 | 高级检索  
     检索      

A multichannel neural signal detecting module:Its design and test in animal experiments
作者姓名:Wang Yufeng  Wang Zhigong  Lü Xiaoying  Gu Xiaosong  Li Wenyuan  Wang Huiling  Jiang Zhenlin  Lü Guangming and K. P. Koch
作者单位:Fraunhofer Institute
基金项目:Supported by National Natural Science Foundation of China (Grant Nos 69825101 ,90377013 and 60121101)
摘    要:A four-channel neural signal detecting module with an implantable 12-contact cuff electrode was designed for real-time neural signal recording on peripheral and central nerves. The mathematic coupling model between nerve and electronic system was analyzed. Electrode connection configurations were considered. The detecting circuit included an input coupling network, a pre-amplifier, and some filtering and notching stages. Shield guarding and the right-leg-driven circuit were developed for further elimination of common mode interference. By electrode switches, the module could cooperate with a nerve functional electrical stimulation circuit, building a neural channel bridge-connection system. It was tested by recording experiments on rat’s sciatic and spine nerves. The signals in spontaneous and evoked conditions have been captured successfully. In addition, an implantable neural signal detecting CMOS IC has been introduced.


A multichannel neural signal detecting module: Its design and test in animal experiments
Institution:1. Institute of Radio Frequency & Optical Electronics Integrated Circuits, Southeast University, Nanjing 210096, China; 2. State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China; 3. Key Laboratory of Neural Regeneration of Jiangsu Province, Nantong University, Nantong 226001, China; 4. Fraunhofer Institute for Biomedical Engineering, 66386 St. Ingbert, Germany
Abstract:
Keywords:Cuff electrode  quasi-tripolar configuration  neural signal recording  neural channel bridge-connection
本文献已被 CNKI 等数据库收录!
点击此处可从《自然科学进展》浏览原始摘要信息
点击此处可从《自然科学进展》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号