博碩士論文 945201081 詳細資訊

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姓名 蔡秉翔(Ping-Hsiang Tsai)  查詢紙本館藏   畢業系所 電機工程學系
論文名稱 建立於隨身聽的數位式電子聽診器
(A digital electronic stethoscope based on an audio player)
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摘要(中) 人體內部有許多的器官,不同的器官同時運作以維持人體的正常運作;肺臟為提供細胞充足氧氣並排放出人體不需要之二氧化碳的重要器官。氣體流通在肺臟時會因為與氣管壁摩擦而產生肺音;而當肺臟有病變時,肺音亦會跟著改變。氣喘是一種慢性支氣管炎,在肺音訊號上以喘鳴音為最典型的特徵,另外氣喘在肺音頻率上所造成的變化也是很重要的參考指標。
摘要(英) There are many organs inside a human body. They operate together to keep a person alive. The lung is an important organ to transport oxygen into the body and export carbon dioxide outside of the body. As air hits the walls of these airways, turbulence is created and produces sound, that is what we called lung sound. But if you have some diseases in your respiratory system, lung sounds may change. Asthma is a kind of bronchitis, this will produce a particular sound called wheeze. Besides that, the influence on frequency analysis on lung sound caused by asthma is also an important resource in detecting wheeze.
Lung sound signals can’t be saved using an acoustics stethoscope, and also can’t be reused. There are some digitized electronic stethoscopes, but they are usually expensive and can’t store too many lung sound files. So the purpose of this study is to produce a digital electronic stethoscope based on a digital audio player. It contains an electric condenser microphone, an amplifier circuit, a filter circuit, and a storage device. The system contains a diagnosis program which is written in C language on a 8051 processor. It uses FFT and PSD to analyze the lung sound signals in order to detect wheeze.
關鍵字(中) ★ 喘鳴音
★ 數位隨身聽
★ 肺音
關鍵字(英) ★ Wheeze
★ Lung sound
★ Digital audio player
論文目次 中文摘要 I
英文摘要 II
誌 謝 III
目 錄 IV
圖 目 錄 VII
表 目 錄 IX
第一章 緒論
1-1 聽診器的演進 1
1-2 研究動機 4
1-3 文獻回顧 5
第二章 呼吸生理及肺音
2-1 呼吸系統的生理架構 8
2-2 肺音的產生 10
2-3 肺音的分類 11
2-4 正常呼吸音 11
2-5 異常呼吸音 12
2-6 氣喘 14
第三章 系統硬體架構
3-1 實驗步驟 18
3-1-1 感應器 19
3-1-2 共同電壓電路 20
3-1-3 放大電路 21
3-1-4 濾波電路 22
3-2 訊號儲存裝置 26
3-2-1 將類比訊號引入數位隨身聽 27
3-2-2 肺音訊號的儲存形式 28
3-2-3 肺音訊號的數位化及編碼 30
3-2-4 編碼後訊號的儲存 31
第四章 系統軟體架構
4-1 正常與異常肺音的差異性之評估 34
4-1-1 正常肺音的時、頻域特性 34
4-1-2 喘鳴音的時、頻域特性 35
4-2 氣喘偵測演算法 36
4-2-1 快速傅立葉轉換 38
4-2-2 功率頻譜密度 39
4-2-3 門檻值的設定 39
4-3 使用者介面 41
第五章 結果與討論
5-1 系統測試與結果 45
5-2 與市售產品之比較 47
5-3 結論 48
5-4 未來方向 49
參考文獻 50
參考文獻 [1] L. A. Geddes, “Birth of the stethoscope,” IEEE Engineering in Medicine and Biology Magazine, vol. 24, Issue 1, 84-86, 2005.
[2] Robert L. Wilkins, John E. Hodgkin, Brad Lopez, Lung Sounds - A Practical Guide, Mosby, 1996.
[3] J. E. Earis, B. M. G. Cheetham, “Current methods used for computerized respiratory sound analysis,” Eur. Respir. Rev. 2000; 10: 77, 586-590, 2000.
[4] K. E. Forkheim, D. Scuse, H. Pasterkamp, “A comparison of neural network models for wheeze detection,” IEEE Communications, Power, and Computing Conference Proceedings, vol. 1, 214-219, 1995.
[5] R. J. Riella, P. Nohama, R. F. Borges, A. L. Stelle, “Automatic wheezing recognition in recorded lung sounds,” Proceedings of the Annual International Conference of the IEEE EMBS, vol. 3, 2535-2538, 2003.
[6] A. Homs-Corbera, J. A. Fiz, J. Morera, R. Jane, “Time-frequency detection and analysis of wheezes during forced exhalation,” IEEE transactions on biomedical engineering, vol. 51, 182-186, 2004.
[7] B. -S. Lin, B. -S. Lin, H. -D. Wu, F. -C. Chong, S. -J. Chen, “Wheeze recognition based on 2D bilateral filtering of spectrogram,” Biomed. Eng. Appl. Basis Comm., vol. 18, 128-137, 2006.
[8] A. Suzuki, C. Sumi, K. Nakayama, M. Mori, “Real-time adaptive cancelling of ambient noise in lung sound measurement,” Med. & Bio. Eng. & Comput., vol. 33, 704-708, 1995
[9] H. Pasterkamp, S. S. Kraman, G. R. Wodicka, “Respiratory sounds-Advance beyond the stethoscope,” Am. J. Crit. Care. Med., vol. 156, 974-987, 1997.
[10] S. Lehrer, Understanding Lung Sounds, W.B. SAUNDERS, 3rd edition, 2002.
[11] http://www.lessontutor.com/jm_respiratory.html
[12] BREATHE EASY , http://www.lakesidepress.com/pulmonary/books/breathe/
[13] 潘震澤, 人體生理學, 台北市:合記圖書出版社,第九版, 2003.
(E. P. Widmaier, Human Physiology:the mechanisms of body function, 9th edition, McGraw-Hill, 2003)
[14] 顧潔修,理學檢查與健康評估,台北縣:藝軒圖書出版社,2005.
(C.Jarvis, Physical examination and health assessment, 3rd edition, Singapore:Elsevier, 2003)
[15] 長庚醫院林口醫學中心第一胸腔內科網頁:http://www.cgmh.com.tw/intr/intr2/c313a/listen_to_breathing_sound.htm
[16] A. Kandaswamy, C. S. Kumar, R. P. Ramanathan, S. Jayaraman, N. Malmurugan, “Neural classification of lung sounds using wavelet coefficients,” Computers in Biology and Medicine, vol. 34, 523-537,2004.
[17] http://www.pbl.idv.tw/forum/topic.asp?TOPIC_ID=930
[18] 氣喘格網,http://www.medicalgrid.org/porg/education/education02.htm
[19] 紀國瑞,數位聽診器之原型,國立中央大學電機工程學系碩士論文,2005.
[20] http://www.midimall.com.tw/Tech%20Article/Mic.htm
[21] http://www.cpu.com.tw/kh/av/mic/mic.html
[22] http://www.mipro.com.tw/teach_info/c/condenser_mic.asp
[25] W. H. Press, B. P. Flannery, S. A. Teukolsky, W. T. Vetterling, Numerical Recipes in C: The Art of Scientific Computing, 2nd edition, Cambridge University Press, 1992
[26] 余宗霖,氣喘肺音監測系統之可行性研究,國立中央大學電機工程學系碩士論文,2005.
[27] T. R. Fenton, H. Pasterkamp, A. Tal, and V. Chernick, “Automated Spectral Characterization of Wheezing in Asthmatic Children,” IEEE Transactions on Biomedical Engineering Vol. BME-32, No.1, pp. 50-55, 1985.
指導教授 蔡章仁(Jang-Zern Tsai) 審核日期 2007-7-21
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