本文關(guān)鍵詞： BCI 支持向量機 一階μ波 二階μ波 離散度 CSP分類法　出處：《長沙理工大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：腦-機接口(Brain-computer interface,BCI)是在大腦和外部設(shè)備之間建立的一種信息通道,傳遞人的需求信息.它可以把人的需求直接轉(zhuǎn)換成外部指令,從而代替人的肢體或語言并實現(xiàn)與外界的交流.BCI這一技術(shù)將為更多的癱瘓、聾啞患者提供便捷的溝通工具.本文主要研究基于運動想象的BCI數(shù)學(xué)模型與算法研究,主要目的是尋找和定義最能區(qū)分不同類型運動想象腦電信號的數(shù)量特征,并構(gòu)建恰當(dāng)?shù)姆诸愃惴?得到較高的識別分辨率.全文共分為七章.第一章主要介紹BCI的背景及前景,并介紹了本文的主要工作.第二章介紹與本文研究相關(guān)的基礎(chǔ)知識,包括EEG的頻域分析法等.第三章介紹基于一階μ波水平的電極篩選和特征分類,然后進(jìn)行任務(wù)相關(guān)分析,進(jìn)而根據(jù)第一平均值上下界定法和第二平均值上下界定法的出相應(yīng)的準(zhǔn)確率.第四章主要討論二階μ波水平的概念,以及用二階μ波分析實驗數(shù)據(jù).第五章主要介紹l1-距離的概念及算法實現(xiàn).第六章主要介紹l2-距離的概念及算法實現(xiàn).第七章分為三個部分,包括CSP分類算法的簡介,實驗數(shù)據(jù)分析及結(jié)果分析及總結(jié)
[Abstract]:Brain-Computer Interface (BCI) is a channel of information between the brain and external devices that conveys human needs. It converts human needs directly into external instructions. In order to replace the human body or language and achieve communication with the outside world, this technology will provide more paralyzed, deaf and mute patients with convenient communication tools. This paper mainly studies the BCI mathematical model and algorithm based on motion imagination. The main purpose of this paper is to find and define the best quantitative features of different types of motion imaginary EEG signals, and construct an appropriate classification algorithm to obtain higher recognition resolution. The whole paper is divided into seven chapters. Chapter one mainly introduces the background and prospect of BCI. The main work of this paper is introduced. Chapter two introduces the basic knowledge related to this paper, including the frequency domain analysis of EEG, etc. Chapter 3 introduces the electrode selection and feature classification based on the first order 渭 wave level, and then carries on the task correlation analysis, the third chapter introduces the electrode selection and the characteristic classification based on the first order 渭 wave level, then carries on the task correlation analysis. Then according to the corresponding accuracy of the first average upper and lower definition method and the second average upper and lower definition method. Chapter 4th mainly discusses the concept of second order 渭 wave level. Chapter 5th mainly introduces the concept of l1-distance and its algorithm implementation. Chapter 6th mainly introduces the concept of L2-distance and its algorithm implementation. Chapter 7th is divided into three parts, including the introduction of CSP classification algorithm. Analysis and summary of experimental data and results
【學(xué)位授予單位】：長沙理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：R338;TP18;TN911.7

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相關(guān)期刊論文 前1條

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本文編號：1507600