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研究生:曾鴻竣
論文名稱:基於強健性分散式訊源編碼的心電圖壓縮機制
論文名稱(外文):Robust Distributed Source Coding for ECG Signal Compression
指導教授:張文輝
指導教授(外文):Chang,Wen-Whei
學位類別:碩士
校院名稱:國立交通大學
系所名稱:電信工程研究所
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:2012
畢業學年度:100
語文別:中文
論文頁數:53
中文關鍵詞:心電圖壓縮分散式訊源編碼校驗子生成機制奇偶位元機制
外文關鍵詞:Electrocardiogram(ECG)compressiondistributed source coding(DSC)syndrome approachparity approach
相關次數:
  • 被引用被引用:0
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  • 下載下載:4
  • 收藏至我的研究室書目清單書目收藏:0
隨著生活水準的提升以及醫療科技的進步,高齡化社會是一個不可避免的未來趨
勢。因應城鄉差距及高齡化社會而興起的遠距醫療與健康照護,已成為先進國家重點發展的新興服務產業,也促成醫療電子產業轉向居家健康照護相關技術的開發。心電圖紀錄心臟搏動相關的電位變化資訊,常用於心血管疾病的診斷及治療。本論文旨在建立一適用於心電圖壓縮的分散式訊源編碼機制,其壓縮率及重建品質取決於訊源相關模型的建構及校驗子生成機制。我們首先針對MIT-BIH 心電圖資料庫,使用向量量化配合增益正規化的多重索引選擇機制,開發二位元交換演算法,據以建立最佳化訊源相關模型。並提出奇偶位元機制,透過擴展性奇偶位元查核矩陣衍生的柵狀碼圖作BCJR 演算法,能夠提高二位元通道的錯誤修正效能,藉以達到強健性分散式訊源編碼的心電圖壓縮機制。
In recent years, with the upgrading of the standard of living, as well as medical technology advances, wireless telemedicine and health-care has been one of the emerging research topics due to an aging society which is an inevitable trend. The electrocardiogram(ECG)records the changes of the heart beat-related potential, commonly used in the diagnosis and treatment of cardiovascular diseases. This thesis proposes a method for ECG compression based on distributed source coding. The compression ratio and the reconstruction quality depend on the source-related model, as well as syndrome former, therefore, we use gain-shaped vector quantization with multiple choice and binary switch algorithm to construct an optimized source-related model. Furthermore, by using trellis diagram formed from
extended parity check matrix and BCJR decoding algorithm, we can improve the robustness of distributed source coding against binary symmetric channel errors.
第1 章 緒論1
1.1 研究動機1
1.2 章節概要2
第2 章 心電圖3
2.1 心電圖簡介3
2.2 MIT-BIH 心電圖資料庫6
第3 章 分散式訊源編碼的理論與實現11
3.1 分散式訊源編碼理論11
3.2 迴旋通道碼12
3.3 校驗子生成機制14
第4 章 強健性分散式訊源編碼機制19
4.1 BCJR 解碼演算法19
4.2 奇偶位元機制與生成矩陣的建構23
第5 章 最佳化訊源相關模型26
5.1 前置處理26
5.2 純量量化27
5.3 向量量化30
5.4 增益正規化的多重索引選擇機制32
5.5 相關模型的最佳化37
第6 章 模擬結果與分析40
6.1 訊源相關模型之效能分析40
6.2 心電訊號壓縮之效能分析42
第7 章 結論與未來展望52
參考文獻53
[1] C.S. Pattichis, E. Kyriacou, S. Voskarides, M.S. Pattichis, R. Istepanian, and C.N.
Schizas, "Wireless telemedicine systems: an overview," IEEE Antennas and
Propagation Magazine, vol. 44, no. 2, pp. 143-153.
[2] S. Tachakra, X.H. Wang, R. Istepanian, and Y.H. Song, "Mobile e-Health: the unwired
evolution of telemedicine, " Telemedicine Journal and e-Health, vol. 9, no. 3, pp.
247-257, 2003.
[3] Z. Xiong, A. Liveris, and S. Cheng, "Distributed source coding for sensor networks,"
IEEE Signal Processing Magazine, vol. 21, Sept. 2004.
[4] Y. Liu, S. Lin, and M.P.C. Fossorier, "MAP algorithm for decoding linear block codes
based on sectionalized trellis diagrams," IEEE Trans. Commun., vol.48, no.4,
pp.577-587, April 2000.
[5] M. Bingemen and A.K. Khandani, "Symbol-based turbo codes," IEEE Commun.
Lett.,vol.3, no.10, pp.285-287, Oct. 1999.
[6] M. Aboy, C. Crespo, J. McNames, J. Bassale, L. Jenkins, B.Goldstein, "A Biomedical
Signal Processing Toolbox, " 2002.
[7] V.S. Pless, W.C. Huffman, "Handbook of Coding Theory," 1998.
[8] P. Tan and J. Li, "A practical and optimal symmetric Slepian-Wolf compression
strategy using syndrome formers and inverse syndrome formers," Proc. of 43rd
Annual Allerton Conf on Commun., Control and Computing, hampaign, IL, Sept.
2005.
[9] S. S. Pradhan and K. Ramchandran, "Distributed source coding using syndromes
(DISCUS): design and construction," Proc. of Data Compression Conf.(DCC), pp.
158-167, Mar. 1999.
[10] 潘彥璋,「基於索引層級的疊代訊源通道解碼機制」,國立交通大學碩士論文,
民國九十七年。
[11] Peiyu Tan and Jing Li, "Enhancing the Robustness of Distributed Compression Using
Ideas from Channel Coding," IEEE Communications Society, 2005.
[12] P. Hedelin, P. Knagenhjelm, and M. Skoglund, "Vector quantization for speech
transmission," in Speech Coding and Synthesis, W. B. Kleijn and K. K. Paliwal, Eds.
Amsterdam, The Netherlands: Elsevier, 1995.
[13] Chia-Chun Sun and Shen-Chuan Tai, "Beat-Based ECG Compression Using
Gain-Shape Vector Quantization," IEEE Transaction on Biomedical Engineering,
vol. 52, no. 11, Nov. 2005.
[14] 吳建生,「以基因法則設計通道匹配向量量化之研究」,國立交通大學碩士論文,
民國八十七年。
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