博碩士論文 100521080 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:8 、訪客IP:35.175.212.130
姓名 徐詠韻(Yung-Yun Hsu)  查詢紙本館藏   畢業系所 電機工程學系
論文名稱 視覺空間注意力於視覺誘發電位調變之大腦人機介面
(The Modulation Effect of VisuoSpatial Attention on Visual Evoked Potential and its Application to Brain Computer Interface)
相關論文
★ 使用梳狀濾波器於相位編碼之穩態視覺誘發電位腦波人機介面★ 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
★ 智慧型手機之即時生理顯示裝置研製★ 多頻相位編碼之閃光視覺誘發電位驅動大腦人機介面
★ 以經驗模態分解法分析穩態視覺誘發電位之大腦人機界面★ 利用經驗模態分解法萃取聽覺誘發腦磁波訊號
★ 明暗閃爍視覺誘發電位於遙控器之應用★ 使用整體經驗模態分解法進行穩態視覺誘發電位腦波遙控車即時控制
★ 使用模糊理論於穩態視覺誘發之腦波人機介面判斷★ 利用正向模型設計空間濾波器應用於視覺誘發電位之大腦人機介面之雜訊消除
★ 智慧型心電圖遠端監控系統★ 使用隱馬可夫模型於穩態視覺誘發之腦波人機介面判斷 與其腦波控制遙控車應用
★ 使用類神經網路於肢體肌電訊號進行人體關節角度預測★ 使用等階集合法與影像不均勻度修正於手指靜脈血管影像切割
★ 應用小波編碼於多通道生理訊號傳輸★ 結合高斯混合模型與最大期望值方法於相位編碼視覺腦波人機介面之目標偵測
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 ( 永不開放)
摘要(中) 視覺誘發電位(Visual evoked potential, VEP)被廣泛應用於臨床視覺檢查、
以及腦波人機介面的應用上。藉由針對視覺刺激進行不同頻率或相位的編
碼,可以利用分類器分辨不同視覺刺激源造成的腦波訊號,下達多種控制
指令。視覺腦波人機介面(VEP-based BCI) 透過非侵入式腦波訊號
(Electroencephalogram, EEG)的辨識與擷取,可以讓使用者與外界互動,並
且不需要他人輔助或肌肉移動。此外,視覺腦波具有高傳輸率與較少訓練
時間的優點,因此也獲得世界上許多腦波人機介面研究團隊的注意。但是
目前以視覺誘發電位為基礎的腦波人機介面,都屬於依賴性的系統
(dependent system),使用者的眼睛必須注視於閃光刺激光源,才能進行系統
操作。這使得使用者的目光無法離開視覺刺激閃光,而造成使用上的限制。
因此,本研究致力於發展一種不具依賴性(independent system)的視覺誘
發電位腦波人機介面,藉由討論視覺誘發電位受到注意力調變增強的效應,
分辨受試者注意力所停留的選項,並進行腦波操控。
本研究所使用的閃光方式為閃爍視覺誘發電位(Flash Visual Evoked
Potential, FVEP),藉由人腦視覺腦波對於閃光刺激的亮滅具有時間鎖定與相
位鎖定的特性,以隨機編碼方式產生閃光序列,經由簡單的平均方法分離
出左視野與右視野所產生的閃爍視覺誘發電位,辨識出左右視野視覺誘發
電位的特徵峰值P2 與N2,並計算兩波峰之差值Amponset,經過比較振幅大
小後可以得出與視覺間注意力之間具有正相關性,本研究的成果將來可以
應用於非依賴性視覺腦波人機介面的應用上。
摘要(英) Visual evoked potential (VEP) has been widely used in clinical visual
diagnoses and has been utilized for the application of brain computer interface.
By encoding the temporal sequeces of visual stimuli with distinct frequencies or
phases, brain waves induced from different visual stimuli can be recognized
using classifiers, and the recognized brain waves are subsequently used for
delivering control commands. Visual evoked potential – based brain computer
interface (VEP-based BCI) enables users to interact with external environments
independent of other people’s help or peripheral neuralmuscular activities. In
addition, VEP-based BCI has the advantages of high information transfer rate
and less training effort which has drawn attention from serveral BCI research
teams. However, current VEP-based BCI systems are dependent system. Users’
eyes should always gaze at their intended visual stimuli which results in
limitation to BCI applications.
This thesis aims to develop a new independent VEP-based BCI system. By
studying the effects of visuospatial attention on the modulation of VEP
amplitudes. User’s attended targets can be distinguished from other targets, and
the recognized target can then be used to control external devices. Owing to the
time-locked and phase-locked characteristics of VEP, the present study utilized
flash visual evoked potential (FVEP) to design our system. Two visual stimuli
located at left and right visual fields were driven by distinct randomly generated
sequences, and VEP induced from visual stimuli at left and right visual fields
were detected separately by means of a simply averaging process. The amplitude
difference between P2 and N2 peaks, denoted as AMPonset, was calculated in
each VEP. Therefore, the visuospatial attention effect on user’s attended targets
can then be discussed. The research results of this study can be applied to design
independent VEP-based BCI system in future applications.
關鍵字(中) ★ 閃爍視覺誘發電位
★ 注意力
★ 腦電波 訊號
★ 腦波人機介面
關鍵字(英) ★ FVEP
★ Visuospatial Attention
★ EEG
★ BCI
論文目次 摘要 ...................................................................................................................... II
Abstract ............................................................................................................ IIII
致謝 ...................................................................................................................... V
目錄 ..................................................................................................................... VI
圖目錄 ................................................................................................................. IX
表目錄 .............................................................................................................. XIII
第一章緒論 ......................................................................................................... 1
1.1 前言 ......................................................................................................... 1
1.2 研究動機與目的 ..................................................................................... 1
1.3 文獻回顧 ................................................................................................. 2
1.4 論文架構 ................................................................................................. 4
第二章大腦人機介面與視覺誘發電位 ............................................................. 5
2.1 大腦皮層的電位活動 ............................................................................. 5
2.1.1 腦波分類 ...................................................................................... 6
2.1.2 腦波量測 ...................................................................................... 9
2.2 視覺誘發電位 ....................................................................................... 11
2.3 以視覺誘發電位為基礎之大腦人機介面 ........................................... 18
第三章研究理論 ............................................................................................... 21
VI II
3.1 腦波擷取 ............................................................................................... 21
3.2 眼動訊號擷取 ....................................................................................... 21
3.3 數位濾波器 ......................................................................................... 212
3.3.1 FIR 濾波器 ................................................................................. 24
3.3.2 IIR 濾波器 ............................................................................... 245
3.3.2.1 Butterworth 濾波器 ..................................................... 245
3.4 零相位移濾波器 ................................................................................... 26
3.4 疊加平均技術 ....................................................................................... 28
第四章實驗結果與討論 ................................................................................... 29
4.1 儀器介紹 V-Amp 腦波放大器 .......................................................... 29
4.2 實驗方法 ............................................................................................... 31
4.2.1 實驗環境 .................................................................................... 31
4.2.2 系統架構 .................................................................................. 351
4.2.3 受測者 ........................................................................................ 32
4.2.4 實驗設計 .................................................................................... 32
4.2.5 訊號處理流程 ............................................................................ 34
4.3 分析方法 ............................................................................................... 35
4.3.1 EEG 訊號量測 ........................................................................... 35
4.3.2 訊號前處理(pre-process)........................................................... 35
IX
4.3.3 第一部份實驗:直視閃光選項之視覺誘發腦波分析 ........... 38
4.3.4 第二部份實驗:空間注意力調變之視覺誘發腦波分析 ....... 41
4.4 第一部份實驗:直視閃光選項之視覺誘發電位分析結果 .............. 44
4.5 第二部份實驗:空間注意力調變之視覺誘發電位分析結果 .......... 50
4.6 FVEP 實驗結果與討論 ........................................................................ 59
第五章結論與未來展望 ..................................................................................... 63
5.1 結論 ....................................................................................................... 63
5.2 未來展望 .............................................................................................. 63
參考文獻 ............................................................................................................. 64
參考文獻 [1] 禁錮的靈魂- 漸凍人眨眼看世界Available:
http://www.24drs.com/Special_Report/ALS/
[2] P.L. Lee, J.C. Hsieh, C.H. Wu, K.K. Shyu, Y.T. Wu, "Brain computer interface using
flash onset and offset visual evoked potentials," Clinical Neurophysiology, vol. 119,
pp. 605-616, 2008.
[3] 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
電機工程研究所碩士論文,民國九十六年
[4] 黃立維,"明暗閃爍視覺誘發電位於遙控器之應用",國立中央大學電機工程研究
所碩士論文,民國九十八年
[5] 劉宇涵,"利用正向模型設計空間濾波器應用於視覺誘發電位之大腦人機介面之
雜訊消除",國立中央大學電機工程研究所碩士論文,民國九十九年
[6] P. L. Lee, C. H. Wu, J. C. Hsieh, and Y. T. Wu., "Visual evoked potential actuated
brain computer interface: a brain-actuated cursor system", Electronics Letters, vol. 41,
pp. 832-834, 2005.
[7] M. Cheng, X. Gao, S. Gao, Senior Member, IEEE, D. Xu, "Design and
implementation of a brain-computer interface with high transfer rates," IEEE
Transactions on Biomedical Engineering, vol. 49, pp. 1181-1186, 2002.
[8] E. Sutter, "The brain response interface: communication through visually-induced
electrical brain responses," J. Microcomput. Appl., vol. 15, pp. 31-45, 1992.
[9] Y. Wang, R. Wang, X. Gao, B. Hong, S. Gao, "A practical VEP-based brain-computer
interface," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.
6 5
14, pp. 234-240, 2006.
[10] C. Herrmann, "Human EEG responses to 1–100 Hz flicker: resonance phenomena in
visual cortex and their potential correlation to cognitive phenomena," IEEE
Transactions on Experimental Brain Research, vol. 137, pp. 353, 346-353, 346, 2001.
[11] " 濾波器簡介"Available:
http://read.pudn.com/downloads141/doc/608396/2001-6-6.pdf
[12] Vinay K. Ingle 編著,"數位信號處理 : 使用MATLAB",一版,滄海發行,台中
市,民國八十九年
[13] 胡廣書,"數字信號處理導論",二版,清華大學,民國一百零二年
[14] 吳弘毅,"雙相位閃光刺激之穩態視覺誘發電位腦機介面系統",國立陽明大學腦
科學研究所碩士論文,民國九十九年
[15] The most compact Solution for Neurophysiological Research, Available:
http://brainproducts.com/productdetails.php?id=15&tab=3
[16] The International 10-20 System, Available:
http://www.brainmaster.com/generalinfo/electrodeuse/eegbands/1020/1020.html
[17] J. Malmivuo and R. Plonsey, Bioelectromagnetism: Principles and Applications of
Bioelectric and Biomagnetic Fields: Oxford University Press, USA, 1995.
[18] J. C. Mosher,Los Alamos Nat. Lab., NM, USA , R.M. Leahy, P.S Lewis, "EEG and
MEG: forward solutions for inverse methods," IEEE Transactions on Bio-Medical
Engineering, vol. 46, pp. 245-259, 1999.
6 6
[19] 蒙以正,"以MATLAB 透視DSP",一版,碁峰資訊,台北市,民國八十八年
[20] Bernard Mulgrew 等編著,"數位訊號處理",一版,五南,台北市,民國九十年
[21] Yoshiyuki Kashiwase, Kazumichi Matsumiya, Ichiro Kuriki, Satoshi Shioiri, " Time
Courses of Attentional Modulation in Neural Amplification and Synchronization
Measured with Steady-state Visual-evoked Potentials," Journal of Cognitive
Neuroscience, vol. 24:8, pp. 1779–1793, 2012.
指導教授 李柏磊(Po-Lei Lee) 審核日期 2013-8-23
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明