【摘要】：腦機(jī)接口技術(shù)(Brian Computer Interface，BCI)是一種新型人機(jī)交互技術(shù)，通過采集和分析腦電信號，在人與計算機(jī)之間建立不通過動作或者語言的溝通通道。然而目前腦電采集系統(tǒng)一般都比較笨重，對腦機(jī)接口的應(yīng)用很不方便。本文針對這一特點，設(shè)計并實現(xiàn)了一種用于腦機(jī)接口的基于嵌入式系統(tǒng)的無線便攜式腦電采集系統(tǒng)。 該系統(tǒng)主要分為兩部分，發(fā)射端與接收監(jiān)測端。發(fā)射端由8通道模擬放大電路與2.4GHz的nRF24E1無線通信模塊組成，nRF24E1內(nèi)部包含增強(qiáng)型51核控制器，控制著電子開關(guān)循環(huán)采集并發(fā)射信號。接收監(jiān)測端由另一片nRF24E1接收數(shù)據(jù)并通過串口傳給ARM處理器，，ARM處理器將信號顯示在LCD屏幕上并存儲在U盤內(nèi)。在ARM處理器平臺上，本文自主編寫了Bootloader，移植了Linux操作系統(tǒng)，編寫了相關(guān)驅(qū)動以及QT應(yīng)用程序，實現(xiàn)了從硬件到軟件的平臺搭建。 為了驗證系統(tǒng)性能，本文對人腦睜閉眼α波做了相關(guān)實驗，結(jié)果表明符合先驗生理知識，可以應(yīng)用于腦機(jī)接口或者臨床應(yīng)用當(dāng)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 偽 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.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：R318.6

【參考文獻(xiàn)】

相關(guān)期刊論文 前4條

1 李佳林;李明富;錢光弟;;基于Qt/Embedded的ARM-Linux應(yīng)用程序研究[J];成都航空職業(yè)技術(shù)學(xué)院學(xué)報;2006年04期

2 熊偉;董金明;;嵌入式Linux中根文件系統(tǒng)的實現(xiàn)[J];電子測量技術(shù);2007年07期

3 張興財;楊康;崔向;;基于ARM的嵌入式LINUX系統(tǒng)中GUI的研究和實現(xiàn)[J];沈陽理工大學(xué)學(xué)報;2006年05期

4 邵長彬;李洪亮;;用Busybox制作嵌入式Linux根文件系統(tǒng)[J];微計算機(jī)信息;2007年29期

相關(guān)碩士學(xué)位論文 前2條

1 甄鵬;嵌入式實時Linux的移植及應(yīng)用技術(shù)的研究[D];山東理工大學(xué);2008年

2 羅崇;基于nRF24E1的大鼠腦電遙測系統(tǒng)的研究[D];電子科技大學(xué);2008年

本文編號：2428394