進階搜尋


   電子論文尚未授權公開,紙本請查館藏目錄
(※如查詢不到或館藏狀況顯示「閉架不公開」,表示該本論文不在書庫,無法取用。)
系統識別號 U0026-0812200915231068
論文名稱(中文) 以DSP晶片系統實現二次小波轉換為依據之腦波 節律特徵萃取及分類
論文名稱(英文) Double Wavelet Transform Based Feature Extraction and Classification of EEG Rhythms implemented On a DSP System
校院名稱 成功大學
系所名稱(中) 電機工程學系碩博士班
系所名稱(英) Department of Electrical Engineering
學年度 97
學期 2
出版年 98
研究生(中文) 曾仕佳
研究生(英文) Shih-Chia Tseng
電子信箱 n2696192@mail.ncku.edu.tw
學號 n2696192
學位類別 碩士
語文別 中文
論文頁數 62頁
口試委員 指導教授-戴政祺
口試委員-黃世杰
口試委員-楊慶隆
口試委員-陳家進
口試委員-李永春
中文關鍵字 腦波  節律  二次小波轉換  數位信號處理 
英文關鍵字 Electroencephalogram (EEG)  rhythm  double wavelet transform  digital signal processor (DSP) 
學科別分類
中文摘要 腦波是人體生理訊號中的一種;許多研究機構對於腦波有著濃厚的研究興趣,因為其中蘊藏了大量人腦未知的訊息與秘密。當腦波出現異常放電(癲癇)時,可藉由節律功率的異常分佈分辨出異常腦波,已經有許多的演算法被應用於分析此種現象。基於本實驗室研究腦波節律特性上的差異,使用二次小波轉換,將腦波進行節律特徵分類,分解成α、β、θ、δ等節律以及計算各個節律平均功率;而且在功率分佈現象上推斷腦部的活動情況。本研究目的是利用美商德州儀器(TI)公司的TMS320C6713數位信號處理晶片,實現二次小波轉換演算法,並且進行正常腦波及異常腦波節律,功率分佈比例上的分析。研究成果可協助研究者或醫生,分析節律功率的分佈情形,且辨別出異常腦波。
英文摘要 Electroencephalogram (EEG) is a kind of physiological signal of the human body. Several research institutions are interested in EEG study, because it has the potential to provide much more unknown information in the human brain. When the EEG reveals abnormal discharges (eg. Epilepsy), abnormal EEG signals can be distinguished by their unusual rhythm powers. Various algorithms have been applied to analyze the EEG signals. In our laboratory, on the basis of property of different EEG signal rhythms, double wavelet transform decomposition was used for designing filters with different frequency characteristics to detect the features in power spectrum of different EEG rhythms, namely α, β, θ and δ rhythms, which are used to form the dynamic map of brain activity. The aim of the present investigation is to implement the algorithm on a digital signal processor (TMS320C6713 DSP, Texas Instruments) for analyzing the distribution of the ratio of the power of rhythms on normal and abnormal EEG signals. The results of this study can be used to help researchers and doctors to analyze the distribution of the rhythm powers and thus identify abnormal EEG signals.
論文目次 摘 要 I
ABSTRACT II
誌謝 III
目錄 IV
表目錄 VII
圖目錄 VIII
第一章 緒論 1
1.1研究背景 1
1.2國內外相關文獻回顧 2
1.3研究動機 4
1.4研究目的 4
第二章 研究背景 6
2.1產生腦波的電生理轉換 6
2.1.1細胞層次上的可能機轉 6
2.1.2神經系統結構上的可能機轉 7
2.2腦波電位訊號之記錄與處理 8
2.2.1參考組合的構成圖(referential montage) 9
2.2.2差異組合的構成圖(differential montage) 9
2.3誘發檢查 9
2.4腦電圖的分類 10
2.5癲癇(EPILEPSY) 11
2.5.1發生癲癇的原因 12
2.5.2癲癇樣放電(epileptiform discharges) 12
第三章 DSP晶片系統與二次小波轉換 14
3.1目測訊號處理功能 15
3.2開發平台TMS320C6713 DSP STARTER KIT(DSK)簡介 17
3.3腦波處理演算法 19
3.3.1小波轉換 20
3.3.2多分辨率小波分析 21
3.3.3功率上的小波轉換 28
第四章 演算法實現及腦波信號分析結果與討論 32
4.1 在DSP晶片系統上實現二次小波轉換演算法 32
4.1.1小波多分辨率分解處理 33
4.1.2小波多分辨率還原處理 35
4.1.3小波功率轉換處理 41
4.2 實際EEG信號分析 43
4.2.1完整EEG Channel 功率分佈 43
4.2.2正常EEG信號平均功率分佈 44
4.2.3 異常EEG信號平均功率分佈 49
4.3 分析與討論 53
第五章 結論與未來發展 55
5.1結論 55
5.2未來展望 55
參考文獻 57
自述 62
參考文獻 [1] 關尚勇,林吉和,"破解腦電波" 藝軒圖書出版社,2007。
[2] R. Cooper, " Electroencephalograph Technology," Butterworth-Heinemann Ltd, Elsevier Inc, 1980.
[3] 杜益昌,"多通道腦波機系統之設計與裝置" 國立台灣大學電機工程學系,1999。
[4] 吳東格,"個人電腦型腦電圖量測系統之研製" 國立台灣大學電機工程學系,1997。.
[5] 連怡仲,"數位腦波機系統之設計與研製" 國立台灣大學電機工程學系,1998。
[6] 楊勝文,"可攜式智慧型腦波記錄器" 國立台灣大學電機工程學系,1992。.
[7] 吳炎法,"研製無線化多通道腦波系統並運用NAB方法進行腦波分類之研究" 國立台北科技大學電腦與通訊研究所,1994。
[8] J. Arnhold, P. Grassberger, K. Lehnertz, C. E. Elger, "A robust method for detecting interdependenciesapplication to intracranially recorded EEG," Preprint submitted to Elsevier Preprint, vol. 134, pp. 419-430, 2006.
[9] J. P. Lachaux, E. Rodriguez, J. Martinerie, and F. J. Varela, "Measuring phase synchrony in brain signals. Human Brain mapping," Human Brain Mapping, vol. 8, pp. 194-208, 1999.
[10] N. F. Rulkov, M. M. Sushchik, and L.S. Tsimring, "Generalized synchronization of chaos in directionally coupled chaotic systems," Phys. Rev. E, vol. 51, pp. 980-994 1995.
[11] D. A. Smirnov, "Detection of weak directional coupling Phase-dynamics approach versus state-space approach," Phys. Rev. E, vol. 71, pp. 0362071-036270713, 2005.
[12] C. J. Stam, "Synchronization likelihood an unbiased measure of generalized synchronization in multivariate data sets," Physica D, vol. 163, pp. 236–251, 2002.
[13] P. Tass, M. G. Rosenblum, J. Weule, J. Kurths, A. Pikovsky, J. Volkmann, A. Schnitzler, and H. J. Freund, "Detection of n:m phase locking from noisy data Application to magnetoencephalography.," Physical Review Letters, vol. 81, pp. 3291-3294, 1998.
[14] C. J. Stam, A. Walsum, S. Micheloyannis, "Variability of EEG synchronization during a working memory task in healthy subjects," International Journal of Psychophysiology, vol. 46, pp. 53-66, 2002.
[15] E. Rodriguez, N. George, J. P. Lachaux, J. Martinerie, B. Renault & F. J. Varela, "Perception's shadow long-distance synchronization of human brain activity," Nature, vol. 397, pp. 430-433, 1999.
[16] B. Schack, "Phase synchronization between theta and upper alpha oscillations in a working memory task," International Journal of Psychophysiology, vol. 57, pp. 105-114, 2005.
[17] C. J. Stam, "Nonlinear dynamical analysis of EEG and MEG Review of an emerging field," Clinical Neurophysiology, vol. 116, pp. 2266-2301, 2005.
[18] A. Schnitzler, and J. Gross, "Normal and pathological oscillatory communication in the brain," Nature Reviews Neuroscience, vol. 6, pp. 285-296, 2005.
[19] L. M. Ward, "Synchronous neural oscillations and cognitive processes," Trends in Cognitive Sciences, vol. 7, pp. 553-559, 2003.
[20] A. Hiraiwa, and k. Shimohara, "EEG Topography Recognition by Neural Network," Engineering in Medicine and Biology, vol. 3, pp. 39-42, 1990.
[21] 高士政,"以雙核心處理器為基礎之即時嵌入式無線腦波訊號感測與處理系統及其在駕駛員瞌睡偵測之應用" 國立交通大學電機控制工程學系,2005。
[22] 蘇明勳,"腦波圖與癲癇症" 臨床醫學,第12冊,213-217頁,1983。
[23] J. R. Wolpaw, H. Ramoser, D. J. McFarland, and G. Pfurtscheller, "EEG-base communication: improved accuracy by response Verification," IEEE Trans. Rehabil Eng, vol. 6, pp. 326-333, 1998.
[24] L. Cohen, "Time-Frequency Analysis: Theory and Application," Prentice Hall, 1995.
[25] L. Cohen, "Time-Frequency distributions: A review," Proceedings of IEEE Trans, vol. 77, pp. 940-981, 1989.
[26] H. Choi, W. J. Williams, "Improved time-frequency representation of multicomponent signals using exponential kernels," IEEE Trans. on ASSP, vol. 37, June 1989.
[27] H. P. Zaveri, W. J. Williams, L. D. Iasenmidis, J. C. Sackellares, "Time-frequency representation of electrocorticograms in temporal lobe epilepsy," IEEE Trans. on BME, vol. 39, pp. 502-509, 1992.
[28] T. Kiryu, Y. Saitoh, and K. Ishioka, "A muscle fatique index based on the relationship between preceding background activity and myotatic reflex response," IEEE Trans. on BME, vol. 39, pp. 105-111, Feb. 1992.
[29] L. Yong, Z. Shengxun, "Apply Wavelet transform to analysis EEG signal," 18th Annual International Conference of the IEEE Engineering in Medical and Biology Society, pp. 1007-1008, 1996.
[30] T. Malina, A. Folkers, and U. G. Hofmann, "Real-time EEG processing based on Wavelet Transformation," 12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, Reykjavik, 2002.
[31] A. Subasi, "Automatic detection of epileptic seizure using dynamic fuzzy neural networks," Expert Systems with Applications, vol. 31, pp. 320–328, 2006.
[32] G. Chawala, A. Gupta, S. Sengar, "A wavelet based detection and analysis of gamma phythms in EEG signals," International Conference on Signal Processing & Communications, pp. 22-26, 2004.
[33] E. P. Widmaier, H. Raff, K. T. Strang, "Vander's Brief Edition Human Physiology," McGraw-Hill, pp. 80, 2006.
[34] 陳獻宗,"當代神經學" 橘井文化事業份有限公司,2003。
[35] 湯雅雯,"腦波量測系統之研製與腦波信號之非線性分析" 國立成功大學電機工程學系,2005。
[36] 胡慕美," Ganong 生理學" 合計圖書出版社,1990。
[37] 吳進安,"基礎神經學" 國立編譯館,2004。
[38] Rulph. Chassaing, Donald. Reay, "Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK," John Wiley & Sons Inc, pp. 146-198, pp. 540-549, 2008.
[39] Alan. V. Oppenheim, Ronald. W. Schafer, "Discrete-Time Signal Processing, " Prentice-Hall, pp. 465-478, 1999.
[40] Joyce. Vand, de. Vegte, "Fundamentals of Digital Signal Processing," Prentice-Hall, 2001.
[41] 盧怡仁、蔡偉和,"單晶片於數位信號處理的應用" 文魁資訊股份有限公司,2008。
[42] Spectrum Digital, Inc, "TMS320C6713 DSK Technical Reference," Spectrum Digital, Inc, 2003.
[43] 楊福生,"小波變換的工程分析與應用" 科學出版社,1999。
[44] C. Torrence, and G. P. Compo, "A Practical Guide to Wavelet Analysis," Bulletin of American Meteorological Society, 1998.
[45] 吳庭宇,"以二次小波轉換為依據之腦波節律特徵萃取及分類之研究" 國立成功大學電機工程學系,2007。
[46] Joseph. J. Carr, John. M. Brown, "Introduction to Biomedical Equipment Technology," Prentice-Hall, 2001.
[47] John. G. Webster, "Medical Instrumentation Application and Design," John Wiley & Sons Inc, 1998.
論文全文使用權限
  • 同意授權校內瀏覽/列印電子全文服務,於2059-07-28起公開。
  • 同意授權校外瀏覽/列印電子全文服務,於2059-07-28起公開。


  • 如您有疑問,請聯絡圖書館
    聯絡電話:(06)2757575#65773
    聯絡E-mail:etds@email.ncku.edu.tw