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  1. NTU Theses and Dissertations Repository
  2. 醫學院
  3. 醫療器材與醫學影像研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70086
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dc.contributor.advisor林世明zh_TW
dc.contributor.advisorShi-Ming-Linen
dc.contributor.author林泰村zh_TW
dc.contributor.authorTai-Cun Linen
dc.date.accessioned2021-06-17T03:42:44Z-
dc.date.available2023-11-24-
dc.date.copyright2018-03-29-
dc.date.issued2017-
dc.date.submitted2002-01-01-
dc.identifier.citationReferences[1] PEURA, R., & WEBSTER, J. (2009). Basic sensors and principles. Medical Instrumentation: Application and Design.[2] Renpu , Cai(蔡任圃).(2012). ECG and heart sound in the heart cycle of the relationship between the time, Science Monthly, 507,236-238.[3] Rangana than, N., Sivaciyan, V., &Saksena, F. B. (2015). The art and science of cardiac physical examination. JP Medical Ltd.[4] Clark, V. L., & Kruse, J. A. (1990). Clinical methods: the history, physical, and laboratory examinations. JAMA, 264(21), 2808-2809.[5] DEBBAL, S., & BEREKSI-REGUIG, F. (2002). THE FAST FOURIER TRANSFORM ANDTHE CONTINUOUS WAVELET TRANSFORM ANALYSIS OF THE NORMAL ANDPATHOLOGICALS PHONOCARDIOGRAM SIGNALS. Sciences &Technologies A, (17),81-86.[6] Guo-Ray Ji.(2005). A Prototype of Digital Stethoscopes, National Central University, Taiwan[7] Chi-Kang Ho.(2007). Measurement of Pulse Wave Velocity by Phonocardiogram and Photo plethysmography Apply to Long-Term Operation Analysis, Southern Taiwan University of Science and Technology, Taiwan[8] Chia-hsien Lin.(2007). Implementation of Lung Sound Acquisition and Analysis System, National Cheng Kung University, Taiwan[9] Qing-song Weng.(2010). The Development of a Real-Time Transmission System of Heart Sound Signal and Its Application in Estimation of Blood Pressure, Chung Yuan Christian University, Taiwan Zhi-Ming Lin.(2012). The Production of Simple Electronic Stethoscope and Feasibile Assessment, Nan Jeon University of Science And Technology, Taiwan[10] Zhi-Ming Lin.(2012). The Production of Simple Electronic Stethoscope and Feasible Assessment, Nan Jeon University of Science And Technology, Taiwan[11] Chun-Wei Liu.(2014). Mobile Bluetooth based Electronic Stethoscope for Heart and Lung Sounds, National United University, Taiwan-
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70086-
dc.description.abstract心跳是重要生命跡象,而由心音訊號可辨別出許多疾病徵兆,因此快而準確的心電圖信號分析對於病情診斷相當有幫助,心電圖信號處理包含以下幾個部分:特徵萃取、特徵選取、心律變異分析,針對不同的生物醫學信號,如心電圖、腦波圖、肌電圖,有不同的演算法設計,一方面提取出信號特徵,另一方面有效的消除信號雜訊,由於生物醫學信號通常是非穩定信號、時變率高,較不適合使用傅立葉轉換分析,使用時域分析方法會較合適[5]。聽診是診斷心臟疾病重要的檢查方法之一,心音、心律等的變化往往是心臟疾病最早出現的體徵,如主動脈狹窄、心動過速、心律不整…等,都是可以透過聽診直接判斷的病症,所以心音訊號之分析對於心血管疾病的診斷也具有重要的意義,這就是為什麼心音訊號分析會成為國內外的熱門研究題目了。本論文的題目「心音訊號分析演算法之研究」,目的是藉由自行開發之心音訊號感測系統量取一般真人受測者及收集 SAMⅡ假人心肺音標準模擬系統的原始心音數據為基礎,進行時域分析、特徵擷取、病症決策,進而撰寫出一套完整的演算法,進行時域分析且比較以整理出各別的生理特徵及特性並進一步用於正常與異常心音之初步診斷,並對於此套心音量測系統進行整合以實現心音感測醫療器材之雛型化開發[5]。zh_TW
dc.description.abstractHeartbeat is an important sign of life, and many signs of disease can be discerned by heart signals. Therefore, fast and accurate physiological signal analysis for the diagnosis of the disease is helpful. Physiological signal processing contains the following parts: feature extraction, feature selection, analysis of heart rate variability. For different biomedical signals, such as ECG, EEG, EMG, there are different algorithm design. Can the extract the signal characteristics, and effective elimination of signal noise. Since biomedical signals are usually unstable signals. Therefore, it is not suitable to use Fourier transform analysis. Time domain analysis method will be more appropriate. Auscultation is one of the important ways to diagnose heart disease. Heart sounds, abnormal heart rhythm, often the earliest signs of heart disease. Such as aortic stenosis, tachycardia, irregular heartbeat ... and so on. Are diagnosed by auscultation disorders. Therefore, the analysis of heart sound signal is also of great significance for the diagnosis of cardiovascular diseases. This is why the heart sound signal analysis will become a hot topic. The topic of this thesis, “The Study of Heart Sound Signals Analysis Algorithm". The purpose is to measure the average patient by developing a heart sound signal sensing system. And collecting heart sound raw data from a standard simulated system of SAM II. Research time domain analysis, feature extraction, disease decision-making. Use time-domain analysis to write algorithms. And compare the different physiological characteristics. Initial diagnosis of normal and abnormal heart sounds Achieve heart sound sensing medical equipment prototype development. And heart sound measurement system integration.en
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Previous issue date: 2017
en
dc.description.tableofcontents誌謝 ....................................................................................................................................i
中文摘要 .......................................................................................................................... ii
ABSTRACT .................................................................................................................... iii
CONTENTS ......................................................................................................................iv
LIST OF FIGURES ..........................................................................................................viii
LIST OF TABLES ..........................................................................................................xv
Chapter 1 Introduction................................................................................................1
1.1 Preface.......................................................................................................1
1.2 Heart sound auscultation introduced.....................................................3
1.2.1 Stethoscope principle and development .........................................................3
1.2.2 Auscultation position......................................................................................5
1.2.3 Heart sound generation...................................................................................7
1.2.4 First heart........................................................................................................9
1.2.5 Second heart..................................................................................................11
1.2.6 Sound analysis principle...............................................................................13
1.3 Research motivation and purpose ........................................................15
Chapter 2 System Architecture.................................................................................17
2.1 Data Source.............................................................................................17
2.1.1 data source ....................................................................................................17
2.2 Lab apparatus ........................................................................................18
2.2.1 Heart sound sensor and auscultation head ....................................................18
2.2.2 Heart sound detection circuit design.............................................................20
2.3 Data acquisition and transmission .......................................................21
2.3.1 Oscilloscope..................................................................................................21
2.3.2 MCU ................................................................................................................21
2.3.3 ADC signals..................................................................................................22
2.3.4 LCD ..............................................................................................................22
2.3.5 UART............................................................................................................23
2.3.6 Switch sensor................................................................................................24
Chapter 3 Heart sound measurement position..........................................................25
3.1 Measurement position ...........................................................................25
3.2 Aortic area ..............................................................................................26
3.3 Pulmonary artery area ..........................................................................28
3.4 Tricuspid valve area...............................................................................30
3.5 Mitral valve area ....................................................................................32
3.6 Electronic stethoscope and laboratory homemade circuit comparison..................................34
3.7 Comparison of the four auscultation area ...........................................38
Chapter 4 Algorithm to determine the process.........................................................41
4.1 Initial analysis method...........................................................................41
4.2 Preliminary Analysis Method Example ...............................................43
4.2.1 The step1.......................................................................................................44
4.2.2 The step2.......................................................................................................45
4.2.3 The Step3....................................................................................................47
4.2.4 The Step4......................................................................................................49
4.2.5 The Step5......................................................................................................50
4.2.6 The Step6......................................................................................................56
4.2.7 The Step7......................................................................................................60
4.3 Algorithm Execute .................................................................................65
4.3.1 The Step1......................................................................................................68
4.3.2 The Step2......................................................................................................69
4.3.3 The Step3......................................................................................................75
4.3.4 The Step4......................................................................................................78
4.3.5 The Step5......................................................................................................80
4.3.6 The Step6......................................................................................................82
4.3.7 The Step7......................................................................................................84
Chapter 5 Algorithm Validation and Disease Management Decision Branch..........86
5.1 Algorithm Verification Description ......................................................86
5.2 Algorithm Validation Example .............................................................90
5.2.1 The Step1......................................................................................................91
5.2.2 The Step2......................................................................................................95
5.2.3 The Step3......................................................................................................98
5.2.4 The Step4....................................................................................................101
5.2.5 The Step5....................................................................................................104
5.2.6 The Step6....................................................................................................107
5.2.7 The Step7....................................................................................................110
5.3 Disease Decision-Making Branch .......................................................113
Chapter 6 Conclusion and Future Prospects...........................................................119
References .....................................................................................................................121
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dc.language.isoen-
dc.subjectSAMⅡzh_TW
dc.subject第二心音zh_TW
dc.subject心音zh_TW
dc.subjectSAMⅡzh_TW
dc.subject心雜音zh_TW
dc.subject心雜音zh_TW
dc.subject第二心音zh_TW
dc.subject第一心音zh_TW
dc.subject心音zh_TW
dc.subject第一心音zh_TW
dc.subjectSAM Ⅱen
dc.subjectheart sounden
dc.subjectthe first heart sounden
dc.subjectthe second heart sounden
dc.subjectheart murmuren
dc.subjectSAM Ⅱen
dc.subjectheart sounden
dc.subjectthe first heart sounden
dc.subjectthe second heart sounden
dc.subjectheart murmuren
dc.title心音訊號分析演算法之研究zh_TW
dc.titleThe Study of Heart Sound Signals Analysis Algorithmen
dc.typeThesis-
dc.date.schoolyear106-1-
dc.description.degree碩士-
dc.contributor.oralexamcommittee林風;賴信志zh_TW
dc.contributor.oralexamcommitteeFong Lin;Sin-Jhih Laien
dc.subject.keyword心音,第一心音,第二心音,心雜音,SAMⅡ,zh_TW
dc.subject.keywordheart sound,the first heart sound,the second heart sound,heart murmur,SAM Ⅱ,en
dc.relation.page121-
dc.identifier.doi10.6342/NTU201800219-
dc.rights.note未授權-
dc.date.accepted2018-02-06-
dc.contributor.author-college醫學院-
dc.contributor.author-dept醫療器材與醫學影像研究所-
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