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摘要技术的发展使得更多的先进仪器设备引入到医学研究中，脑电图信息处理系统就是一个典型例子。脑电信号在一定程度上反应了大脑活动信息，对人类认识大脑有很大的意义。
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论文主要论述了一套脑电信号处理系统的创设过程。首先介绍了系统设计背景，论文的组织架构，然后给出了系统的总体设计，再然后分别从硬件和软件两方面对本设计进行了具体阐述。
系统主要构成是信号采集测试系统，共采集16路脑电信号，通过电子开关的选择，采取分时复用的方法循环处理16路信号。主要电路有静电去除部分，信号放大和滤波部分，A/D转换模块，控制处理部分，人机交互界面等。处理器部分采用的是基于ARM内核的32位单片机STM32。A/D部分选择内置数字滤波器和放大器结构的AD7190实现，以降低系统对滤波及放大部分的要求。对数据在器件选型过程中注意器件的低噪性能以减少对信号测量的干扰。信号传入到微机之前，先经过光耦隔离，另外光耦之前和之后部分采用不同电源供电的方法，这样可以减少二者的耦合。在脑电采集测试系统部分主要实现波形的实时显示，及脑电数据存储及上传给无线模块的功能。添加无线模块的目的是为了把脑电数据传送给终端设备如安卓手机，它可接收信号采集系统发来的数据，并以波形形式显示，实现数据在多设备上的查看。二者之间的通信靠WiFi模块完成，具体方式是RT5350模块。论文主要任务集中在信号采集系统的设计部分，着重介绍了信号放大，滤波及模/数转换部分。26120
毕业论文关键词：脑电 信号采集 滤波 STM32
Abstract
The development of technology makes more advanced equipment introduced to medical research .The EEG information processing system is a typical example. The EEG signal responds the brain activity information to a certain extent, which is of positive significance to the understanding of brain.
In this paper, the design procedure of a set of EEG acquisition system is mainly discussed. At first, the paper introduces the system design background, structure of the paper and then gives the overall design of the system. At last, the design is elaborated from two aspects of hardware and software.
This system composes by two parts: the first part is signal acquisition test system, collecting 16 channel EEG signals, through the choice of the electronic switch, by time-sharing multiplexing method of recycling processing signals of 16 channels. It mainly includes the electrostatic eliminating circuit, EEG signal amplifier and filter circuit, A / D conversion circuit control processing part, human-machine interface and so on. Part of the processor is based on ARM core 32-bit microcontroller STM32 .The A / D choose AD7190 with built-in digital filter and amplifier structure, in order to reduce the requirement of filtering and amplification. To reduce interference on signal measurement, the data that low noise performance is mainly considered in the component selection procedure. System isolates digital channel and analog channel through optocoupler. Analogue components, digital components break away the current feed to reduce the interaction between the two parts. In signal acquisition testing system mainly complete the waveform real-time display, EEG data storage and uploading to the wireless router. Terminal equipment or Android phones is used to receive the EEG data. It can receive signal from acquisition system and display it in the form of waveform .The two parts are connected by the WiFi or the RT5350 module. This paper is concentrated on the EEG signal testing system design, and mainly introduces the signal amplification, filtering and A / D conversion.
Key words : EEG Information acquisition Filtering STM32
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