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低功耗全集成微电子神经桥接电路的设计
引用本文:沈晓燕,王志功,谢书珊. 低功耗全集成微电子神经桥接电路的设计[J]. 半导体技术, 2012, 37(2): 105-109
作者姓名:沈晓燕  王志功  谢书珊
作者单位:东南大学射频与光电集成电路研究所,南京210096;南通大学电子信息学院,江苏南通226019;东南大学射频与光电集成电路研究所,南京,210096
基金项目:国家自然科学基金,江苏省高校自然科学研究项目,东南大学生物电子学国家重点实验室开放研究基金,南通市自然科学基金
摘    要:神经传导束中断是脊髓损伤后功能障碍的主要原因。微电子神经桥是利用微电子芯片或模块旁路受损神经传导束,重建因神经通路中断而丧失的功能。设计了一种基于0.5μm CMOS工艺的低功耗、全集成微电子神经桥电路,版图面积为1.21 mm×1.18 mm。详细介绍了微电子神经桥核心单元电路低功耗两级运算放大器和输入/输出轨至轨运算放大器的设计。仿真结果表明,微电子神经桥接系统的通频带完全覆盖神经信号的频谱范围,增益可调至足够大,适用于神经信号探测和功能电激励。系统在±2.5 V供电情况下,功耗仅为3.4 mW,低功耗和系统全集成使得微电子神经桥向最终实现体内植入迈进了一步。

关 键 词:神经功能重建  微电子神经桥  神经信号探测  低功耗  互补金属氧化物半导体

Design of Low-Power Fully Integrated Microelectronic Neural Bridge Chip
Shen Xiaoyan , Wang Zhigong , Xie Shushan. Design of Low-Power Fully Integrated Microelectronic Neural Bridge Chip[J]. Semiconductor Technology, 2012, 37(2): 105-109
Authors:Shen Xiaoyan    Wang Zhigong    Xie Shushan
Affiliation:1(1.Institute of RF-& OE-ICs,Southeast University,Nanjing 210096,China; 2.School of Electronic Information,Nantong University,Nantong 226019,China)
Abstract:The interrupt of nerve tracts is the main reason of dysfunction after spinal cord injury.Microelectronic neural bridges bypass damaged nerve tracts with microelectronic chip or module and rebuild the lost neural function.This fully integrated low-power microelectronic neural bridge circuit was designed with a 0.5 μm CMOS process,the area of 1.21 mm×1.18 mm.As core elements,the two-stage operational amplifier and the input/output rail-to-rail operational amplifier were described.Simulated results show that the working band of the system completely covers the spectral range of nerve signals and the gain can be adjusted to be large enough for neural signal detection and functional electrical stimulation.The power consumption of the system is only 3.4 mW with ±2.5 V power supplies.The peculiarities of low power and fully integreated in a chip make a forward step for the microelectronic neural bridge to the ultimate implantable realization.
Keywords:neural function regeneration  microelectronic neural bridge  neural signal detecting  low-power  CMOS
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