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基于嵌入式处理器的无线便携式脑电采集系统设计

发布时间:2019-02-22 16:19
【摘要】:脑机接口技术(Brian Computer Interface,BCI)是一种新型人机交互技术,通过采集和分析脑电信号,在人与计算机之间建立不通过动作或者语言的沟通通道。然而目前脑电采集系统一般都比较笨重,对脑机接口的应用很不方便。本文针对这一特点,设计并实现了一种用于脑机接口的基于嵌入式系统的无线便携式脑电采集系统。 该系统主要分为两部分,发射端与接收监测端。发射端由8通道模拟放大电路与2.4GHz的nRF24E1无线通信模块组成,nRF24E1内部包含增强型51核控制器,控制着电子开关循环采集并发射信号。接收监测端由另一片nRF24E1接收数据并通过串口传给ARM处理器,,ARM处理器将信号显示在LCD屏幕上并存储在U盘内。在ARM处理器平台上,本文自主编写了Bootloader,移植了Linux操作系统,编写了相关驱动以及QT应用程序,实现了从硬件到软件的平台搭建。 为了验证系统性能,本文对人脑睁闭眼α波做了相关实验,结果表明符合先验生理知识,可以应用于脑机接口或者临床应用当中。
[Abstract]:Brain-Computer Interface (Brian Computer Interface,BCI) is a new human-computer interaction technology. By collecting and analyzing EEG signals, we can establish communication channels between people and computers without action or language. However, the EEG acquisition system is generally heavy and inconvenient for the application of BCI. According to this characteristic, a wireless portable EEG acquisition system based on embedded system is designed and implemented in this paper. The system is divided into two parts, transmitter and receiver. The transmitter consists of an 8-channel analog amplifier circuit and a nRF24E1 wireless communication module of 2.4GHz. The nRF24E1 contains an enhanced 51 core controller, which controls the electronic switch cycle to collect and transmit signals. The receiving and monitoring terminal receives the data from another nRF24E1 and passes it to the ARM processor through the serial port. The ARM processor displays the signal on the LCD screen and stores the signal on the U disk. On the platform of ARM processor, this paper has programmed Bootloader, to transplant the Linux operating system, written the related driver and QT application program, and realized the platform construction from hardware to software. In order to verify the performance of the system, a series of experiments have been carried out on the 伪 wave of human brain. The results show that it accords with the prior physiological knowledge and can be used in brain-computer interface or clinical application.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:R318.6

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