請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59305
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 林世明(Shi-Ming Lin) | |
dc.contributor.author | Wei-Chih Huang | en |
dc.contributor.author | 黃暐智 | zh_TW |
dc.date.accessioned | 2021-06-16T09:20:01Z | - |
dc.date.available | 2022-09-08 | |
dc.date.copyright | 2017-09-08 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-07-04 | |
dc.identifier.citation | [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] Ranganathan, 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] Boyer, S. H., & Chisholm, A. W. (1958). Physiologic splitting of the second heart sound. Circulation, 18(5), 1010-1011. [6] Aygen, M. M., & Braunwald, E. (1962). The splitting of the second heart sound in normal subjects and in patients with congenital heart disease. Circulation, 25(2), 328-345. [7] Y Yoganathan, A. P., Gupta, R., Udwadia, F. E., Wayen Miller, J., Corcoran, W. H., Sarma, R., ... & Bing, R. J. (1976). Use of the fast Fourier transform for frequency analysis of the first heart sound in normal man. Medical and Biological Engineering and computing, 14(1), 69-73. [8] Hearn, T. C., Mazumdar, J., Hubbard, R., & Eyster, G. (1979). Temporal and heart-size effects in first-heart-sound spectra. Medical and Biological Engineering and Computing, 17(5), 563-568. [9] Ishizuka, T., & Ishizuka, A. (1987). Frequency analysis of first heart sound for the elderly. Clinical cardiology, 10(4), 231-234. [10] Wood, J. C., Buda, A. J., & Barry, D. T. (1992). Time-frequency transforms: a new approach to first heart sound frequency dynamics. IEEE Transactions on Biomedical Engineering, 39(7), 730-740. [11] DEBBAL, S., & BEREKSI-REGUIG, F. (2002). THE FAST FOURIER TRANSFORM AND THE CONTINUOUS WAVELET TRANSFORM ANALYSIS OF THE NORMAL AND PATHOLOGICALS PHONOCARDIOGRAM SIGNALS. Sciences & Technologie A, (17), 81-86. [12] Debbal, S. M., & Bereksi-Reguig, F. (2007). Spectral analysis of the PCG signals. Int. J. Bioeng, 2. [13] Debbal, S. M., & Bereksi-Reguig, F. (2007). Time-frequency analysis of the first and the second heartbeat sounds. Applied Mathematics and Computation, 184(2), 1041-1052. [14] Wu, W. Z., Guo, X. M., Xie, M. L., Xiao, Z. F., Yang, Y., & Xiao, S. Z. (2009). Research on first heart sound and second heart sound amplitude variability and reversal phenomenon-a new finding in athletic heart study. J. Med. Biol. Eng, 29(4), 202-205. [15] Jeyarani, A. D. (2011). Feature Extraction from Heart sound signal for Anomaly Detection. IJCSNS International Journal of Computer Science and Network Security. [16] Atbi, A., & Debbal, S. M. (2013). Segmentation of pathological signals phonocardiogram by using the Shannon energy envelogram. AJCM, 2(1), 1-14. [17] Elgendi, M., Bobhate, P., Jain, S., Guo, L., Rutledge, J., Coe, Y., ... & Adatia, I. (2014). Spectral analysis of the heart sounds in children with and without pulmonary artery hypertension. International journal of cardiology, 173(1), 92-99. [18] Guo-Ray Ji.(2005). A Prototype of Digital Stethoscopes, National Central University, Taiwan [19] Chi-Kang Ho.(2007). Measurement of Pulse Wave Velocity by Phonocardiogram and Photoplethysmography Apply to Long-Term Operation Analysis, Southern Taiwan University of Science and Technology,Taiwan [20] Chia-hsien Lin.(2007). Implementation of Lung Sound Acquisition and Analysis System, National Cheng Kung University, Taiwan [21] 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 Universtiy of Science And Technology, Taiwan [22] Zhi-Ming Lin.(2012). The Production of Simple Electronic Stethoscope and Feasibile Assessment, Nan Jeon Universtiy of Science And Technology, Taiwan [23] Chun-Wei Liu.(2014). Mobile Buletooth based Electronic Stethoscope for Heart and Lung Sounds, National United University, Taiwan [24] Mikrocontroller.(2014). 10-Show (Mini-Oszi per STM32F429-Disco), from http://mikrocontroller.bplaced.net/wordpress/?page_id=3290 [25] Huang CY(黃群耀). (2009). Heart Sounds Made Easy. [26] Functional Medicine University. (2017). Heart Sounds,Auscultation positions, from https://www.functionalmedicineuniversity.com/public/department56.cfm [27] Modern medicine.(2004). Sounds : Listening with skill, from http://www.modernmedicine.com/modern-medicine/content/heart-and-breath-sounds-listening-skill [28] Debbal, S. M., & Bereksi-Reguig, F. (2007). Spectral analysis of the PCG signals. Int. J. Bioeng, 2. [29] Matalgah, M., Knopp, J., & Mawagdeh, S. (1997). Interactive processing method using Gabor wavelet and the wavelet transform for the analysis of phonocardiogram signals, Time–Frequency and Wavelets in Biomedical Signal Processing. In IEEE Engineering in Medicine and Biology Society (pp. 271-304). [30] Tuteur, F. B. (1990). Wavelet transformations in signal detection. In Wavelets (pp. 132-138). Springer Berlin Heidelberg. [31] Cherif, L. H., Mostafi, M., & Debbal, S. M. (2014). Digital filters in Heart Sound Analysis. International Journal of Clinical Medicine Research, I (3), 97-108. [32] Munther Homoud, M.D. (2007). Heart Sounds (Mitral Stenosis), from http://ocw.tufts.edu/Content/50/lecturenotes/634401/634457 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59305 | - |
dc.description.abstract | 心音訊號代表著心臟部分功能運作之狀態,心臟之生理與病理的症狀可於心音訊號中表現出來,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,一般在醫院中醫生最常用的診斷方式為使用聽診器進行聽診以評估病人症狀, 雖然此法簡單又方便但難免會有判斷上的誤差,對於非醫療領域的人員更是不容易準確的從聽診分辨心音以及確診,所以近年來心音訊號分析之研究已成為國內外生物醫學工程領域研究人員熱門的研究主題。
本論文的題目為「心音訊號感測與頻譜分析之研究」,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之胸腔四個不同位置上之心音訊號並將得到的原始心音數據配合數位訊號處理軟體進行時域分析以及頻域上的頻譜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。 本研究中利用快速傅立葉轉換對心音訊號進行頻譜分析以得到整體訊號的頻率分佈及第一、第二心音和心雜音中各別組成成份的頻率訊息,並利用小波轉換進行時頻分析以確定第一心音、第二心音和心雜音組成成份之時序關係,藉由此研究得出量測心臟不同位置心音訊號之差異和心音訊號不同的特徵分類並且對於心音之診斷給出直接又精確的證據,另外在量測系統的設計上主要是以SAMⅡ系統的心音資料蒐集和以日本福田電子公司之心音量測機台為基準所設計之心音感測系統並配合福田電子開發之感測器進行量測實驗以得到真人及假人之心音原始數據加上數位訊號處理軟體對這些心音訊號進行學術研究分析與探討,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。 | zh_TW |
dc.description.abstract | Heart sound signals represent the operation state of the part of heart functions, the physiological and pathological symptoms of heart can be shown in the heart sound signals(PCG, phonocardiogram), so the analysis of heart sound signals also has important significance for the diagnosis of cardiovascular disease, doctors generally assess the patient's symptoms with auscultation in the hospital, although this method is simple and convenient, it may inevitably have error judgement and it is not easy to accurately distinguish heart sounds and make right diagnosis for non-medical field people, so the study of heart sound signals analysis has become a popular research topic in the field of biomedical engineering in recent years.
The topic of this thesis is “The Study of Heart Sound Signals Sensing and Spectrum Analysis”, the purpose is to measure the chest four different positions of real subjects and use SAM Ⅱ simulation system to get the heart sound signals raw data and do the time and frequency domain analysis with the digital signal processing software, by the analysis and comparison, the different physiological features and characteristics of heart sounds will be sort out and the normal and abnormal heart sounds will be further analyzed to achieve the initial diagnosis. In this study, the Fast Fourier Transform(FFT) is used to perform the spectral analysis of the heart sound signals to obtain the frequency distribution of the whole signal and the frequency information of the individual components in the first、second heart sounds and murmur ; the Continuous Wavelet Transform(CWT) be used to perform time-frequency analysis that it can determine the timing relationship of the first heart sound、 second heart sound and heart murmur composition, by this study, it is possible to measure the difference between the heart sounds、obtain the different characteristics of the heart sounds and provide a direct and accurate evidence for the diagnosis of the heart sounds. In addition, the design of the measurement system is mainly based on SAM Ⅱ system heart sounds data collection and the heart sound sensing system with Fukuda heart sounds sensor to obtain the heart sounds raw data of the real people subjects and SAM Ⅱ system for the academic research analysis and discussion with digital signal processing software and statistical software, and I also integrated this sensing system to achieve a prototype development of heart sound sensing medical device. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T09:20:01Z (GMT). No. of bitstreams: 1 ntu-106-R04458008-1.pdf: 10645383 bytes, checksum: 6cd77f43892fa7d604db376164893dd7 (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 誌謝 i
中文摘要 ii ABSTRACT iv CONTENTS vi LIST OF FIGURES x LIST OF TABLES xiii Chapter 1 Introduction 1 1.1 Preface 1 1.2 Introduction to Heart Sounds Auscultation 2 1.2.1 The principle and development of stethoscope 2 1.2.2 The generation of heart sounds 3 1.2.3 The time relationship of ECG and heart sounds in cardiac cycle 4 1.2.4 The characteristic and component of first heart sound 6 1.2.5 The Characteristic and Component of Second heart sound 7 1.2.6 The Characteristic and Component of Third heart sound 8 1.3 Literature Review 9 1.4 Research motivation and purpose 11 Chapter 2 System Architecture 13 2.1 Experimental subjects 13 2.1.1 All subjects from Institude of Medical Device and Imaging 13 2.1.2 Cardionics SAMⅡ 14 2.2 Experimental instrument 15 2.2.1 Stethoscope 15 2.2.2 Heart sound signals sensing sensor 16 2.2.3 Design of heart sounds sensing circuit 17 2.3 Data acquisition and transmission 19 2.3.1 Oscilloscope 19 2.3.2 MCU 19 2.4 Data analysis software 19 2.4.1 Originpro9.1 Signal Processing 19 2.4.2 Matlab Signal Processing 19 2.5 STM32F429 MCU 20 2.5.1 ADC signals 20 2.5.2 STM32F429 FFT function 20 2.5.3 STM32F429 Oscilloscope function 21 2.5.4 UART 21 2.6 Overall system architecture 22 2.6.1 Sensing system architecture (Fig. 2.7) 22 Chapter 3 Heart Sound Measurement Positions 23 3.1 Aortic area 23 3.2 Pulmonary area 24 3.3 Tricuspid area 25 3.4 Mitral valve area 26 Chapter 4 Experimental Method and Process 27 4.1 Each experimental process 27 4.1.1 The experiment process of collecting real people heart sound signals with heart sound signals sensing system architecture 27 4.1.2 The experiment process of collecting SAMⅡ heart sound signals with heart sound signals sensing system architecture 27 4.1.3 The experiment process of directly collecting the SAMⅡ system heart sound signals with the oscilloscope 27 4.2 List of subjects in all experiment process in this study 28 4.2.1 The comparison of sensors experiment 28 4.2.2 Heart sound signals sensing in four different chest positions 28 4.2.3 The SAMⅡ heart sound signals measurement experiment-part 1 29 4.2.4 The SAMⅡ heart sound signals measurement experiment-part 2 30 4.2.5 The experiments of heart sound signals sensing in aortic area 31 4.3 Time domain analysis and comparison 33 4.3.1 Time domain PCG Example 33 4.4 Frequency domain analysis and comparison 34 4.4.1 Spectrum analysis of heart sound signals (PCG) 34 4.4.2 Theoretical background of Fast Fourier Transform 34 4.4.3 Application of Fast Fourier Transform for PCG analysis 35 4.4.4 Other Examples of frequency domain PCG by FFT 37 4.5 Wavelet Transform analysis 38 4.5.1 Continuous wavelet transform 38 4.5.2 Continuous wavelet transform application 40 4.6 IIR Filter application 41 4.6.1 IIR Filter introduction 41 4.6.2 IIR Filter application 42 Chapter 5 Results and Discussion 43 5.1 The comparison of sensors in noisy environment 43 5.2 PCG Time domain analysis of SAMⅡ 46 5.2.1 SAM’S heart rate estimation 46 5.2.2 The splitting of the first heart sound 49 5.2.3 The splitting of the second heart sound 53 5.2.4 Time domain Features and characteristics classification table 55 5.3 PCG Time and frequency domain analysis of real subjects 58 5.3.1 Real subject’s heart rate estimation 58 5.3.2 All subject’s S1-S1 heart rate estimation 60 5.3.3 Frequency domain analysis 61 5.3.4 Frequency range table of subjects 62 5.3.5 Frequency statistics of subjects 69 5.4 PCG Frequency domain analysis of SAMⅡ 70 5.5 PCG Time-Frequency analysis of SAM 80 5.5.1 Wavelet transform of normal and abnormal PCG signals 80 5.5.2 Features and characteristics table(section 5.5.1)of wavelet transform 82 5.6 Features and characteristics table of Spectrum analysis 84 5.6.1 Frequency range table(section 5.4) of SAMⅡ 84 5.6.2 Frequency statistics 88 Chapter 6 Conclusion and Future Prospect 90 References 93 | |
dc.language.iso | en | |
dc.title | 心音訊號感測與頻譜分析之研究 | zh_TW |
dc.title | The Study of Heart Sound Signals Sensing and Spectrum Analysis | en |
dc.type | Thesis | |
dc.date.schoolyear | 105-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 賴信志(Hsin-Chih Lai),方國權(Guor-Cheng Fang) | |
dc.subject.keyword | 心音,第一心音,第二心音,心雜音,快速傅立葉轉換,小波轉換,頻譜分析,SAMⅡ, | zh_TW |
dc.subject.keyword | heart sound,first heart sound,second heart sound,heart murmur,Phonocardiogram (PCG),Fast Fourier Transform (FFT),Continuous Wavelet Transform (CWT),Spectrum analysis,SAMⅡ, | en |
dc.relation.page | 94 | |
dc.identifier.doi | 10.6342/NTU201701291 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2017-07-04 | |
dc.contributor.author-college | 醫學院 | zh_TW |
dc.contributor.author-dept | 醫療器材與醫學影像研究所 | zh_TW |
顯示於系所單位: | 醫療器材與醫學影像研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-106-1.pdf 目前未授權公開取用 | 10.4 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。