博碩士論文 965301025 詳細資訊




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姓名 郭高銘(KAO-MING KUO)  查詢紙本館藏   畢業系所 電機工程學系在職專班
論文名稱 應用電激發光元件於穩態視覺誘發電位之腦波人機介面判斷
(Design of stimulation methods in SSVEP-based BCI using electroluminescence device)
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摘要(中) 大腦人機介面(brain computer interface, BCI)是一種不用透過肌肉活動,直接使用腦電波訊號(electroencephalogram, EEG)對外界裝置與儀器進行控制的一個溝通與控制管道。透過這個大腦人機介面,可以讓無法與外界溝通或無法自由移動的患者,傳遞他們所想要表達的訊息與自由移動,進而改善他們的生活。
近年來,穩態視覺誘發電位(steady state visual evoked potential, SSVEP)為基礎之大腦人機介面已被廣泛應用,利用不同頻率的視覺刺激,可以誘發大腦產生相同的腦電波頻率,以非侵入式的方式擷取腦電波訊號,進行腦電波訊號的辨識與編碼,進而轉換為各種控制指令。
本研究提供一種新的視覺刺激方法,利用電激發光(electro- luminescence, EL)薄膜冷光燈片,應用於穩態視覺誘發電位之腦波人機介面的判斷。不同於發光二極體(light emitting diode, LED)裝置,只能專注地凝視中心點位置,EL為均勻的場效發光,可以提供受測者比較舒適的視覺感受,減少疲倦的產生,進而提升EEG的穩定度與品質。從實驗的結果發現,其優點為受測者可以自由地專注在EL冷光平面燈片上的任何位置;此外,EL所需的驅動電流小、外型輕薄、具柔韌性、而且不需要背光源,不僅能降低腦波人機介面的功率消耗與成本,對於使用電池供電與攜帶方便的醫療設備而言,具有相當大的意義。
摘要(英) Brain computer Interface (BCI) is the equipment that recognizes user’s electroencephalography (EEG) patterns to communicate external environments or control external devices. A BCI allows disabled people or paralyzed patients to transmit their intentions, independent of peripheral muscle activities, so as to improve their living qualities.
In recent years, steady state visual evoked potential (SSVEP)-based BCI has drawn great attentions, due to its advantages of simple architecture, fast responding time, and high information transfer rate (ITR). SSVEP-based BCI encodes visual stimulators with distinct stimulation frequencies. Subjects’ gazed targets can be recognized through identifications of SSVEP patterns, and converted into control commands for different applications.
The research proposes a novel design of stimulation method for SSVEP-based BCI using electroluminescence (EL) device. Unlike the point lighting source done by LED, it provides paper lighting source with wider visual angle so that subjects can easily focus their attentions and perceive with better visual comfortableness. In addition, the EL device is lighter, cheaper, and more power efficient than traditional BCI lighting sources, such as light-emitted diode (LED), liquid crystal display (LCD), and cathode ray tube (CRT), lighting source. The EL display equipped BCI is slimmer than general BCI. Without using backlights, the EL device requires only small amount of electric driving current, which is an important feature for reducing the power consumption and production cost as well as the portability.
關鍵字(中) ★ 腦電波
★ 大腦人機介面
★ 電激發光元件
★ 穩態視覺誘發電位
關鍵字(英) ★ brain computer Interface
★ steady state visual evoked potential
★ electroencephalogram
★ electroluminescence device
論文目次 摘要
Abstract
誌謝
目錄
附圖目錄
附表目錄
第一章 緒論1
1.1 前言1
1.2 大腦人機介面系統2
1.3 視覺誘發電位技術2
第二章 研究背景與架構5
2.1 研究動機與目的5
2.2 電激發光技術簡介5
2.3 電激發光薄膜冷光燈片7
2.4 腦波量測系統11
第三章 研究方法與流程12
3.1 腦波訊號12
3.2 視覺剌激介面13
3.3 受測者與量測方法19
3.4 訊號處理與分析方法22
3.5 實驗流程圖26
第四章 實驗結果與論討28
4.1 實驗數據28
4.2 頻譜分析28
4.3 取樣分析34
4.3.1 分段取樣分析35
4.3.2 連續取樣分析49
4.4 研究數據統計64
4.4.1 分段取樣分析統計表64
4.4.2 連續取樣分析統計表65
4.5 數據統計與曲線圖65
4.5.1 分段取樣分析曲線圖67
4.5.2 連續取樣分析曲線圖68
4.6 結果與討論69
第五章 結論與未來展望73
5.1 結論73
5.2 未來展望74
參考文獻76
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[16] Z. Wu, Y. Lai, Y. Xia et al., “Stimulator selection in SSVEP-based BCI,” Medical engineering & physics, vol. 30, no. 8, pp. 1079-1088, 2008.
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[19] 謝竣傑,「多頻相位編碼之閃光視覺誘發電位驅動大腦人機介面」,國立中央大學電機系碩士論文,2007。
[20] 盧彥儒,「Command Classification in SSVEP-based BCI using HMM and Its Application to Handle a Remote-Control Car」,國立中央大學電機系碩士論文,2010。
[21] 劉宇涵,「Noise reduction in VEP-based BCI using forward-model generated spatial filter」,國立中央大學電機系碩士論文,2010。
指導教授 李柏磊(Po-Lei Li) 審核日期 2011-1-10
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