十六通道神经信号采集芯片模拟前端设计
发布时间：2018-10-29 11:32
【摘要】：对神经电信号的理论研究,探索新的神经电信号检测和采集方法,研制新的神经电信号采集、检测、传输和分析设备已经成为当今生物医学、临床医学和电子技术领域的一个交叉学科热点课题。特别是在应用于医学生物、环境检测等的传感器蓬勃发展的今天,越来越多的神经电信号分析的成果用于疾病的分析、治疗和监测等临床实验阶段,所以对与之配套的信号处理系统有着越来越高的系统要求和更为迫切的需求。单片集成的神经电信号采集处理的片上系统能够实现对微弱信号放大、分频滤波、模数转换、甚至数据压缩等功能,具有低功耗、低噪声、高精度和便携型等优点,同时无线的数据传输方式拓展了系统的应用环境,增强了通用性。文章首先介绍了神经信号采集芯片的相关背景知识,包括发展概况、系统构架以及相关性能指标;接下来对于芯片各模块进行了详细介绍,其中主要包括低噪声,高输入阻抗高增益的模拟放大模块,高精度的模数转换处理模块和MUX电路模块;最后采用SMIC 180nm CMOS工艺,完成了一款神经信号采集芯片的设计,总功耗仅为4mW,能同时采集十六个通道上的数据,将之转换成串行的数字信号,并给出了仿真结果。
[Abstract]:The research on the theory of nerve signals, the exploration of new methods of nerve signal detection and acquisition, and the development of new equipment for the acquisition, detection, transmission and analysis of nerve signals have become biomedical nowadays. An interdisciplinary hot topic in the field of clinical medicine and electronic technology. Especially with the rapid development of sensors used in medical biology, environmental detection, and so on, more and more results in the analysis of nerve signals are used in clinical experiments such as disease analysis, treatment and monitoring. Therefore, the signal processing system has higher and higher system requirements and more urgent needs. The system can amplify weak signal, filter frequency division, convert analog to digital data, and even compress data. It has the advantages of low power consumption, low noise, high precision and portable. At the same time, the wireless data transmission mode expands the application environment of the system and enhances the universality. Firstly, this paper introduces the background knowledge of neural signal acquisition chip, including the general situation of development, system architecture and related performance indicators. Then the chip modules are introduced in detail, including low noise, high input impedance and high gain analog amplifier module, high precision A / D conversion processing module and MUX circuit module. Finally, a neural signal acquisition chip is designed by using SMIC 180nm CMOS technology. The total power consumption is only 4 MW, and the data on 16 channels can be collected at the same time, which can be converted into serial digital signal. The simulation results are given.
【学位授予单位】：北京理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN402
本文编号：2297574
[Abstract]:The research on the theory of nerve signals, the exploration of new methods of nerve signal detection and acquisition, and the development of new equipment for the acquisition, detection, transmission and analysis of nerve signals have become biomedical nowadays. An interdisciplinary hot topic in the field of clinical medicine and electronic technology. Especially with the rapid development of sensors used in medical biology, environmental detection, and so on, more and more results in the analysis of nerve signals are used in clinical experiments such as disease analysis, treatment and monitoring. Therefore, the signal processing system has higher and higher system requirements and more urgent needs. The system can amplify weak signal, filter frequency division, convert analog to digital data, and even compress data. It has the advantages of low power consumption, low noise, high precision and portable. At the same time, the wireless data transmission mode expands the application environment of the system and enhances the universality. Firstly, this paper introduces the background knowledge of neural signal acquisition chip, including the general situation of development, system architecture and related performance indicators. Then the chip modules are introduced in detail, including low noise, high input impedance and high gain analog amplifier module, high precision A / D conversion processing module and MUX circuit module. Finally, a neural signal acquisition chip is designed by using SMIC 180nm CMOS technology. The total power consumption is only 4 MW, and the data on 16 channels can be collected at the same time, which can be converted into serial digital signal. The simulation results are given.
【学位授予单位】：北京理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN402
【参考文献】
相关期刊论文 前3条
1 高涛,黄云川;高性能运算放大器的设计[J];电子质量;2004年12期
2 彭莉辉,吴鸿修,庄峻,尹世金,韩丹,刘维泽,汤剑清;神经电生理信号多道同步采集和分析系统[J];生理学报;2001年01期
3 陈旋,庄奕琪;高速二阶Σ-ΔA/D调制器的设计[J];微电子学与计算机;2003年08期
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