本文選題：腦機接口 + 嵌入式��； 參考：《電子科技大學(xué)》2017年碩士論文

【摘要】：腦機接口(Brain Computer Interface,BCI)系統(tǒng)是一種不依賴腦正常輸出通路就可以實現(xiàn)對腦外事物進(jìn)行控制的系統(tǒng),由于其具有巨大的應(yīng)用前景以及理論研究價值,近年來,其已成為腦科學(xué)、生物醫(yī)學(xué)工程及人機自動控制領(lǐng)域的一個研究熱點。腦機接口發(fā)展到現(xiàn)階段,已經(jīng)有了很大進(jìn)步,但是,目前在研的BCI系統(tǒng)大多依賴于基于PC平臺的高性能處理器,PC體積較大,便攜性差,給腦機接口的實際應(yīng)用帶來了一定的限制。便攜性是腦機接口亟待解決的問題,近年來,ARM等嵌入式處理器有了較大的突破,其運算能力和圖像處理能力都有了質(zhì)的飛躍,使用嵌入式處理器已經(jīng)可以應(yīng)對一些較為復(fù)雜的運算任務(wù),基于此,本文研究設(shè)計了一種基于嵌入式平臺的腦機接口系統(tǒng),系統(tǒng)采用ARM架構(gòu)的嵌入式處理器作為主控,搭載嵌入式Linux系統(tǒng),實現(xiàn)了4個指令的控制,且指令數(shù)還可以在后續(xù)改進(jìn)版本中進(jìn)一步擴展,該系統(tǒng)體積小,方便攜帶,也可以和電控輪椅等外圍設(shè)備配合使用,從而增強其實用性。本文的主要內(nèi)容包括嵌入式系統(tǒng)搭建、USB驅(qū)動程序設(shè)計以及腦機接口應(yīng)用程序設(shè)計三個部分。其中嵌入式系統(tǒng)搭建包括了Linux內(nèi)核裁剪、文件系統(tǒng)制作及QT庫安裝三個部分;USB驅(qū)動實現(xiàn)的是腦電放大器到嵌入式系統(tǒng)的單向數(shù)據(jù)傳輸;腦機接口應(yīng)用程序包含了波形顯示程序和腦機接口程序兩部分,整個程序?qū)崿F(xiàn)了視覺刺激、腦電數(shù)據(jù)采集、特征提取以及模式分類等內(nèi)容。最后,為了驗證該嵌入式腦機接口系統(tǒng)的性能,對該系統(tǒng)的核心模塊以及系統(tǒng)整體性能進(jìn)行了測試,測得該腦機接口系統(tǒng)的平均準(zhǔn)確率為83%,平均信息傳輸率為20比特每分鐘,測試結(jié)果表明,該系統(tǒng)能實現(xiàn)基本的控制任務(wù),滿足基本的應(yīng)用需求。
[Abstract]:Brain computer Interface (BCI) system is a kind of system which can control the external brain without relying on the normal brain output pathway. Because of its great application prospect and theoretical research value, it has become a brain science in recent years. Biomedical engineering and man-machine automatic control field is a research hotspot. There has been great progress in the development of brain-computer interface at this stage. However, most of the BCI systems studied at present rely on high performance processors based on PC platform, such as large size and poor portability. It brings some limitations to the practical application of BCI. Portability is an urgent problem in brain-computer interface. In recent years, arm and other embedded processors have made a great breakthrough, their computing power and image processing ability have made a qualitative leap forward. Using embedded processor can deal with some complicated computing tasks. Based on this, a kind of brain-computer interface system based on embedded platform is designed in this paper. The embedded processor based on arm architecture is used as the main control in the system. With embedded Linux system, the control of four instructions is realized, and the number of instructions can be further expanded in the subsequent improved version. The system is small, portable, and can be used in conjunction with peripheral devices such as electrically controlled wheelchairs, etc. So as to enhance its practicability. The main contents of this paper include three parts: the design of USB driver for embedded system and the design of BCI application program. The embedded system consists of Linux kernel clipping, file system fabrication and QT library installation. The USB driver realizes the one-way data transmission from EEG amplifier to embedded system. The BCI application program includes two parts: waveform display program and brain-computer interface program. The whole program realizes visual stimulation, EEG data acquisition, feature extraction and pattern classification. Finally, in order to verify the performance of the embedded BCI system, the core modules of the system and the overall performance of the system are tested. The average accuracy of the BCI system is 833 and the average information transmission rate is 20 bits per minute. The test results show that the system can achieve basic control tasks and meet the basic application requirements.
【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】：2017
【分類號】：R318;TP316

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 陳淑珍,楊濤;零相移濾波器的改進(jìn)及實現(xiàn)方法[J];武漢大學(xué)學(xué)報(理學(xué)版);2001年03期

相關(guān)博士學(xué)位論文 前3條

1 張楊松;基于穩(wěn)態(tài)視覺誘發(fā)電位的腦機制及腦—機接口研究[D];電子科技大學(xué);2013年

2 龍錦益;腦信號分析的算法研究與多模態(tài)腦機接口[D];華南理工大學(xué);2012年

3 周鵬;基于運動想象的腦機接口的研究[D];天津大學(xué);2007年

相關(guān)碩士學(xué)位論文 前1條

1 劉濤;基于運動起始視覺響應(yīng)的在線實用化腦—機接口[D];清華大學(xué);2010年

，

本文編號：2082788