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研究生:顏凡哲
研究生(外文):Fan-Che Yen
論文名稱:以支向量機結合小波轉換與自回歸模型之生醫訊號分析於行動生醫檢測系統
論文名稱(外文):Biomedical Signal based on wavelet transform and AR model with Support Vector Machine for mobile biomedical signal analysis system
指導教授:顏家鈺顏家鈺引用關係
指導教授(外文):Jia-Yush Yen
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:機械工程學研究所
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:英文
論文頁數:82
中文關鍵詞:生醫信號檢測系統智慧型手機頻譜估測小波轉換主成份分析支向量機心電圖
外文關鍵詞:Biomedical Diagnosis SystemSmart PhoneSpectral EstimationWavelet TransformationPrincipal Component AnalysisSupport Vector MachineElectrocardiogram
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  • 收藏至我的研究室書目清單書目收藏:1
本篇論文以國立台灣大學的無線奈米生醫檢測系統為發展藍圖,開發出一嵌入式生醫資訊監控裝置。無線奈米生醫檢測系統包含有植入式的體內感測器、生理監控裝置以及健康監控伺服中心。本文中實現了生理監控裝置以及健康監控伺服中心。此生理監控裝置架構在智慧型手機上,其作業系統為Symbian 作業系統,同時在此生理監控裝置與健康監控伺服中心上也建構了一份訊號分析檢測系統。本篇論文使用心電圖訊號作為生理訊號分析之範本,其中訊號分析主要以頻譜估測、小波轉換、主成份分析為基礎;醫學訊號檢測的判斷依據則是以支向量機分析理論為基礎,進行六種病症與健康情形之分辨。
This thesis describes the embedded system technology in the monitoring device for the National Taiwan University Wireless Health Advanced Monitoring Bio-Diagnosis System (WHAM-bios). The WHAM-bios consists of body-embedded sensors, a monitoring device, and a center health care server. A prototype of the monitoring device and the health care center is implemented in this thesis. The monitoring device is a smart phone running Symbian operating system. The biomedical diagnosis system is implemented in the center health care server as well as the smart phone. The
thesis uses Electrocardiogram (ECG or EKG) as example. The ECG signal analysis is based on spectral estimation, wavelet transformation and principal component analysis. The diagnosis dealing with healthy state and six other arrhythmia abnormalities is based on support vector machine
classification algorithm.
Chapter 1 Introduction .................................................................................................................. 1
1-1 Motivation and Objective ..................................................................................................... 1
1-2 Related Works ...................................................................................................................... 4
1-3 Organization of this thesis.................................................................................................... 9
1-4 Contributions ........................................................................................................................ 9
Chapter 2 System Architecture and Environment ...................................................................... 13
2-1 System Architecture ........................................................................................................... 13
2-2 Hardware Architecture ....................................................................................................... 14
2-3 Software Architecture ........................................................................................................ 15
2-3-1 User Interface ............................................................................................................. 16
2-3-2 Signal processing ....................................................................................................... 17
2-3-3 Data communication .................................................................................................. 17
2-3-4 Records of Daily Biomedical Signal .......................................................................... 23
Chapter 3 Signal Analysis Theorem ........................................................................................... 25
3-1 Random Process ................................................................................................................. 25
3-2 Spectral Analysis................................................................................................................ 31
3-2-1 Classical Spectral Estimation ..................................................................................... 32
3-3 Wavelet Transformation .................................................................................................... 39
3-3-1 Fundamental Concept ................................................................................................. 39
3-3-2 Multi-level Decomposition[32] .................................................................................. 41
3-3-3 Mother Wavelet .......................................................................................................... 43
3-4 Principal Component Analysis........................................................................................... 44
3-5 Support Vector Machine .................................................................................................... 45
3-5-1 Support Vector ........................................................................................................... 45
3-5-2 Lagrange’s multiplier ................................................................................................. 48
3-5-3 Feature Space and Kernel [33] ................................................................................... 50
3-5-4 Decision Function ...................................................................................................... 51
Chapter 4 System Implementation .............................................................................................. 53
4-1 Hardware Implementation .................................................................................................. 53
4-2 Software Implementation ................................................................................................... 54
4-2-1 Socket/Bluetooth Connection ..................................................................................... 55
4-2-2 Mobile Database ......................................................................................................... 57
4-2-3 User Interface ............................................................................................................. 57
4-2-4 Remote Server ............................................................................................................ 58
4-3 Signal Processing ............................................................................................................... 59
4-3-1 Basic Concept of ECG Signal .................................................................................... 60
4-3-2 Preprocessing of ECG Signal ..................................................................................... 63
4-3-3 Feature Extraction ...................................................................................................... 65
4-3-4 SVM Classification .................................................................................................... 67
4-3-5 Experimental Result ................................................................................................... 71
Chapter 5 Conclusions and Future Works .................................................................................. 77
5-1 Conclusions ........................................................................................................................ 77
5-2 Future Works...................................................................................................................... 78
References ................................................................................................................................... 79
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