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研究生:黃立維
研究生(外文):Li-Wei Huang
論文名稱:明暗閃爍視覺誘發電位於遙控器之應用
論文名稱(外文):Implementation of a brain-wave actuated remote controller using onset-offset steady-state visual evoked potentials
指導教授:李柏磊
指導教授(外文):Po-Lei Lee
學位類別:碩士
校院名稱:國立中央大學
系所名稱:電機工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:中文
論文頁數:80
中文關鍵詞:Onset/Offset大腦人機介面相位編碼視覺誘發電位
外文關鍵詞:BCISSVEPOnset/OffsetPhase coding
相關次數:
  • 被引用被引用:3
  • 點閱點閱:186
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:2
根據視覺誘發電位(Steady-State Visual Evoked Potentials, SSVEP)設計的大腦人機介面(Brain-Computer Interface, BCI)並執行特定動作已經是腦波在科學方面應用常見的例子,針對不同頻率所造成的反應,發現出兩個問題:若刺激為低頻,會有不舒適的現象,反之刺激若為高頻則誘發能量反應不明顯。從演算法或是硬體其實都沒有辦法改善這兩種狀況。
本論文提出改變刺激源呈現方式:調整刺激源Onset、和Offset的時間,藉以達成降低疲勞度的好處,不僅可以改變刺激源外觀,還可以保留大部分的誘發能量,達到既不耗損能量、又能夠提高舒適度的非對稱低頻閃爍刺激源。
在應用方面將非對稱刺激源利用相位編碼(Phase Coding)控制家電,其正確率平均可達到接近90%,簡單來說改變了刺激源的方式並不會造成推動BCI系統上面的影響,利用這樣的變化所帶來的好處,可以使受測者更舒適。
Due to high transfer rate (ITR), minimal training and noninvasiveness of the features in electroencephalography (EEG) system, steady-state visual evoked potentials (SSVEP) recorded from occipital scalp have been used as signal input for implementing brain computer interface (BCI) systems. These SSVEP-based BCIs require subjects to gaze at one or more flickering sources to evoke SSVEPs for system control. Nevertheless, due to the frequency preference of SSVEPs in human, the flickering frequency used for SSVEP stimulation is usually controlled lower than 27 Hz. The use of stimulation frequency equaled or lower to medium stimulation range (? 27 Hz) inevitably causes subjects’ uncomfortableness. Accordingly, this thesis aims to present a brain-computer interface (BCI) with adjustable on-off duration in order to suppress users’ uncomfortableness. The proposed system has been used to control six functions of a remote controller with acceptable accuracy (~90%) and high information transfer rate (ITR).
中文摘要 I
Abstract II
致謝 III
圖目錄 VI
表目錄 X
第一章 緒論 1
第二章 視覺誘發腦波與大腦人機介面系統介紹 2
2.1 腦波 2
2.2 視覺誘發電位 6
2.3 基於視覺誘發電位的大腦人機介面 14
第三章 非對稱明暗閃爍視覺誘發電位研究 16
3.1 傳統閃爍刺激源介紹 16
3.2 非對稱明暗閃爍刺激源介紹、電路設計與相位分析 22
3.2.1 暗寬度調變 23
3.2.2 亮寬度調變 26
3.2.3 閃爍刺激源的電路設計 29
3.3 相位分析方法 34
3.5 腦波擷取 40
3.6 實驗設計和步驟 41
3.6.1 明暗閃爍刺激源性質研究 41
3.6.2 利用非對稱明暗閃爍刺激源搭配相位編碼控制遙控器 43
第四章 實驗結果 49
4.1 調整明暗閃爍產生之反應 49
4.2 相位編碼及時控制應用結果 60
第五章 結論與未來展望 63
Reference 64
[1] 陳煒燁, ”利用SVM分類演算法於EEG-P300的偵測與分析”, 逢甲大學, 2008
[2] J. Odom, M. Bach, C. Barber et al., “Visual evoked potentials standard (2004),” Documenta ophthalmologica, vol. 108, no. 2, pp. 115-123, 2004.
[3] E. Sutter, “The brain response interface: communication through visually-induced electrical brain responses,” Journal of Microcomputer Applications, vol. 15, no. 1, pp. 31-45, 1992.
[4] P. Kennedy, R. Bakay, M. Moore et al., “Direct control of a computer from the human central nervous system,” IEEE Transactions on Rehabilitation Engineering, vol. 8, no. 2, pp. 198-202, 2000.
[5] S.P. Levine et al., "A direct brain interface based on event -related potentials," IEEE Trans. Rehab. Eng., vol. 8, pp. 180-185, 2000.
[6] P.J. Cilliers and A.J.W. Van Der Kouwe, "A VEP-based computer interface for C2-quadriplegics," IEEE Med. Biol. Eng., vol. 15, pp. 1263-1264, 1993.
[7] American Encephalographic Society. Guideline thirteen, " Guidelines for standard electrode position nomenclature," Clin. Neurophysiol., vol. 11, pp. 111-113, 1994.
[8] S.T. Morgan, J.C. Hansen, and S.A. Hillyard, "Selective attention to stimulus location modulates the steady-state visual evoked potential," Proc. Nat. Acad. Sci. USA, vol. 93, pp. 4770-4774, 1996.
[9]M. Cheng, X. Gao, S. Gao et al., “Design and implementation of a brain-computer interface with high transfer rates,” IEEE Transactions on Biomedical Engineering, vol. 49, no. 10, pp. 1181-1186, 2002.
[10]P.L. Lee, J.C. Hsieh, C.S. Wu et al., “Brain computer interface using flash onset and offset visual evoked potentials,” Clinical Neurophysiology, 2007.
[11]F. Bandini, M. Pierantozzi, and I. Bodis-Wollner, “Parkinson''s disease changes the balance of onset and offset visual responses: an evoked potential study,” Clinical Neurophysiology, vol. 112, no. 6, pp. 976-983, 2001.
[12]Y. Wang, X. Gao, B. Hong et al., “Brain-Computer Interfaces Based on Visual Evoked Potentials,” IEEE Engineering in Medicine and Biology Magazine, vol. 27, no. 5, pp. 64-71, 2008.
[13]Y. Wang, R. Wang, X. Gao et al., “A practical VEP-based brain-computer interface,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 14, no. 2, pp. 234-240, 2006.
[14]F. Beverina, G. Palmas, S. Silvoni et al., “User adaptive BCIs: SSVEP and P300 based interfaces,” PsychNology Journal, vol. 1, no. 4, pp. 331-354, 2003.
[15]G. Muller-Putz, R. Scherer, C. Brauneis et al., “Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components,” Journal of neural engineering, vol. 2, no. 4, pp. 123-130, 2005.
[16] 陳佑嘉, ”多重生理參數量測式新型生物回饋系統”, 國立成功大學, 2002
[17] 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, 2007
[18] E. American, “Society: Guideline thirteen: Guidelines for standard electrode position nomenclature,” J Clin Neurophysiol, vol. 11, pp. 111-3, 1994.
[19] G. Garcia, “High frequency SSVEPs for BCI applications.”
[20] J. Duysens, S. Schaafsma, and G. Orban, “Cortical off response tuning for stimulus duration,” Vision Research, vol. 36, no. 20, pp. 3243-3251, 1996.
[21] C. Herrmann, “Human EEG responses to 1–100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena,” Experimental Brain Research, vol. 137, no. 3, pp. 346-353, 2001.
[23] P.L. Lee, C.S. Wu, J.C. Hsieh et al., “Visual evoked potential actuated brain computer interface: a brain-actuated cursor system,” Electronics letters, vol. 41, no. 15, pp. 832-834, 2005.
[24] J. McClellan, R. Schafer, and M. Yoder, Signal processing first: Pearson/Prentice Hall Upper Saddle River, NJ, 2003.
[25] A. Oppenheim, and R. Schafer, Discrete-time signal processing: Prentice-Hall, Inc. Upper Saddle River, NJ, USA, 1989.
[26] 曾百由, dsPIC 數位訊號控制器原理與應用, 宏友出版社
[27] 劉育芳, “人腦-電腦介面系統臨床實驗流程之分析研究”, 國立台南大學, 2005
[28] 莊舜龍, “適應濾波器與事件相關電位於腦波前處理之應用”, 國立成功大學, 2003
[29] M. Pastor, J. Artieda, J. Arbizu et al., “Human cerebral activation during steady-state visual-evoked responses,” Journal of Neuroscience, vol. 23, no. 37, pp. 11621-11627, 2003.
[30] 蒙以正編著,「數位信號處裡應用MATLAB」, 旗標出版股份有限公司
[31] 張智星編著,「MATLAB程式設計與應用」, 清蔚科技出版
台北榮總整合性腦功能研究 http://ibru.vghtpe.gov.tw/chinese/eeg.htm
腦波介紹 http://memo.cgu.edu.tw/yun-ju/cguweb/SciLearn/Introduction/intro03Brain/brain05.htm
http://li.tmu.edu.tw/slide/Computer_Med/index.htm
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