研究生: |
許加慶 |
---|---|
論文名稱: |
適應性雜訊消除法應用於心磁圖量測之研究 |
指導教授: |
楊鴻昌
Yang, Hong-Chang 洪姮娥 Horng, Herng-Er |
學位類別: |
碩士 Master |
系所名稱: |
光電工程研究所 Graduate Institute of Electro-Optical Engineering |
論文出版年: | 2005 |
畢業學年度: | 93 |
語文別: | 中文 |
論文頁數: | 63 |
中文關鍵詞: | 超導量子干涉元件 、適應性雜訊消除法 、心磁圖 |
論文種類: | 學術論文 |
相關次數: | 點閱:197 下載:0 |
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超導量子干涉元件(Superconducting QUantum Interference Devices;SQUIDs)具有高度的敏感度的磁場感測器,使得我們可以利用它來測量微弱的生物磁場訊號,但是環境的磁場雜訊對於生物磁場的量測影響甚鉅,所以環境雜訊的消除是量測生物磁場必須克服的難題。
文中一開始會介紹幾種現在一般常見的雜訊消除法,包括磁屏蔽屋(Magnetic Shielded Room ; MSR)、梯度計(Gradiometer)、自動補償(Active compensation)、穩定器(Stabilizer)並比較其優劣。
最後我們利用商業化的高溫射頻超導量子干涉元件(HTc RF-SQUID)在一個標準型的屏蔽屋中架設一個單通道的心臟磁場量測系統,使用自製的類比放大電路去放大心磁(Magnetocardiography;MCG)訊號以及濾除環境的雜訊,並利用適應性雜訊消除法(Adaptive Noise Cancellation;ANC)去消除雜環境的干擾,實驗結果顯示,適應性雜訊消除法對於60 Hz 以及超低頻的雜訊抑制效果比電子式一階梯度計要來的出色,並在論文的最後規劃一個九通道的心磁量測系統。
參考資料
[1]A.D. Waller, ”A demonstration on man of electromotive changes accompanying the heart’s beat”, J. Physiol. 8, 229-234 (1887)
[2]W. Einthoven,”Ein neues Galvanometer”, Ann. Phys. 12(4), 1059-1071(1903)
[3]R.M. Baule and R. McFee, ”Detection of the magnetic field of the heart”, Am Heart J 55, 95-96 (1963)
[4]D. Cohen, E.A. Edelsack, and J.E. Zimmerman, ”Magnetocardiograms taken inside a shielded room with a superconducting point-contact manetometers”, Appl. Phys. Lett. 5, 13-20 (1970)
[4]J. Vrba, ”Muiltchannel SQUID Biomagnetic System”, CTF Systems Inc.
[5]Y. Nakaya and H. Mori, ”Magnetocardiography”, Clin. Physiol. Meas. 13, 129-229 (1992)
[6]J. Wiskwo, ”SQUID Magnetomenters for Biomagnetism and Nondestructive Testing: Important Questions and Initial Answers”, IEEE Trans. Appl. Supercond. 5, 74-120 (1995)
[7]Herng-Er Horng, Shou-Yen Hung, Jen-Tzong Jeng, Shu-Hsien Liao, S.C. Hsu, Ji-Chuu Hwang, and H.C. Yang, “Biomagnetic Measurements with HTS SQUID in Moderate Shielded Environments”, IEEE Trans. Appl. Supercond. 13, 381-384(2003)
[8]D. Platzak, ”Active shielding to reduce low frequency disturbances in direct current near biomagnetic measure”, Rev. Sci. Instrum 70, 2465-2470 (1999)
[9]S. Kuriki and A. Hayashi, ”Active compentsation in combination with weak passive shielding for magnetocardiographic measurement”, Rev. Sci. Instrum. 73, 440-445 (2002)
[10]S.H. Liao, S.C. Hsu, C.C. Lin, H.E. Horng, J.C. Chen, M.J. Chen, C.H. Wu, and H.C. Yang, “High-T Gradiometer system for magnetocardiography in an unshielded environment” Supercon. Sci. Technol. 16, 1426-1429 (2004)
[11]王姝云,”電子式二階高溫RF-SQUID梯度計應用於無屏蔽環境知心磁量測”,碩士論文(2002)
[12]J. Vrba, ”SQUID Gradiometer in Real Environments,” CTF System Inc. Originally published in H.Weinstock(eds.) SQUID Sensor : Fundamentals,Fabrication and Applications , 117-178 (1997)
[13]J. Vrba, ”Baseline Optimization for Noise Cancellation System”, 19th international conference IEEE/EMBS (1997)
[14]Koichi Yokosawa, ”Axial high temperature superconducting quantum interference devices gradiometer composed of magnetomenter with monolithic feedback and compensation coil”, Appl. Phys. Lett. 78, 2745-2747 (2001)
[15]Koichi Yokosawa, ”A Stabilizer for superconducting quantum interference device gradiometers for operation in lightly shielded environments”, Appl. Phys. Lett. 82, 3059-3061 (2003)
[16] Texas Instruments,Design Reference, ”OP Amps for Everyone”
[17] http://www.analog.com/
[18] http://www.ti.com
[19]B. Widrow, “Adaptive Noise Cancellation : Principles and applications”, Proc. IEEE 63, 1692-1716 (1975)
[20]B. Widrow and S.D. Steams, Adaptive Signal Processing, Prentice Hall, Upper Sadde, NJ (1985)
[21]B. Widrow and E. Walach, ”On the statistical efficiency of LMS algorithm with non-stationary inputs”, IEEE Trans. Inf. Theory 30, 211-221 (1985)
[22]B. Widrow and M. Kamenentsky, ”On the efficiency of adaptive algorithm,”in Least-Mean-Square adaptive Filter, S. Haykin and B.Widrow, Eds. John wiley & Sons, New York (2003)
[23]B. Windrow and M.E. Hoff, ”Adaptive switching circuits.” Proc. Of Weson Conv. Rec. , part 4, 96-140 (1960)
[24] http://www.maxim-ic.com/
[25]J. Vrba, T. Cheung, B. Taylor and S.E. Robinson, “Synthetic High-Order Gradiomenter Reduce Environmental Noise Not the Measured Brain Signal”, Biomag. 98 (1998)
[26]M. Bick and Y. Zhang ,”SQUID Gradiometry for Magneto-
cardiography Using Different Noise Cancellation Techniques”, IEEE Trans. appl. Supercond. 11, 673-676 (2001)
[27]P. Volegov and A. Matlachov, ”Noise-free magnetoencephalgraphy recordings of brain function”, Phys. Med. Biol. 49, 2117-2128 (2004)
[28]Peter Strobach ,”Event-Synchronous Cancellation of Heart Interference in Biomedical Signal”, IEEE Trans. Biomed. Enginnering 41, 343-350 (1994)