本研究建構一個電腦化的肺音聽診系統。由於傳統的聽診法由醫師聽診完畢後，無法記錄肺音以及呼吸狀態等參數，因而無法重覆利用這些資訊。為改善傳統聽診法的缺點，因此建立一套透過電腦化的分析方式分析聽診的肺音。此系統除了保留傳統聽診方式的優點，並可記錄聽診位置、病歷資料並可將肺音保存，進而偵測異常呼吸音並以演算法將其異常呼吸音量化，提供醫師更多樣的診斷數據。此系統是以LabVIEW 程式與Matlab 程式撰寫，並以麥克風電路以及呼吸相位電路分別記錄肺音與呼吸狀態，透過個人電腦的音效卡擷取並存檔，供後續的分析與處理。也可透過此方式進行肺音收集等工，建立肺音資料庫。此外，本系統的硬體為架構於個人電腦之上，透過音效卡取代資料擷取裝置，因此本系統易於廣泛運用。

The aim of this thesis is to propose a computerized lung sound auscultation system. The lung sound auscultation system in order to improve the drawback of the traditional auscultation, used computer to analysis lung sound signal. This system can record the auscultative position and lung sound. Abnormal lung sound can be quantified by using algorithm, propose more diagnosis data to a doctor.
It includes many sensors in this system, such as microphone and thermistor. The system is programmed by adopting matlab and LabVIEW. Use PC sound card is it acquisition and save file, support analysis of follow-up. The hardware of this system is structured on the PC, replaced
by sound card of data acquisition device, so this system is easy to use extensively.

[1] 許世昌, “新編解剖生理學,” 永大書局, 2000.
[2] 廖偉舜, “使用轉換域可適性環境雜訊濾除器之肺音量測系統” 國
立台灣大學電機工程學研究所碩士論文, 中華民國九十年六月.
[3] M.Du, F.H.Y. Chan, F.K. Lam, J. Sun, “Crackle detection and
classification based on matched wavelet analysis,” Proceedings of the
Annual International Conference of the IEEE EMBS, 1638-1641,
1997.
[4] Leontios J. Hadjileontiadis, Stavros M. Panas, “Separation of
Discontinuous Adventitious Sounds from Vesicular Sounds Using a
Wavelet-Based Filter,” IEEE Transactions on biomedical engineering,
vol. 44, 1269-1281, 1997.
[5] Leontios J. Hadjileontiadis, Ioannis T. Rekanos, “Enhancement of
explosive bowel sounds using Kurtosis-based filtering,” Proceedings
of the Annual International Conference of the IEEE EMBS, vol. 3,
2479-2482, 2003.
[6] Leontios J. Hadjileontiadis, Ioannis T. Rekanos, “Detection of
Explosive Lung and Bowel Sounds by Means of Fractal Dimension,”
IEEE Signal processing letters, vol. 10, 311-314, 2003.
[7] Paris A. Mastorocostas, Yannis A. Tolias, John B. Theocharis,
Leontios J. Hadjileontiadis, Stavros M. Panas, “An Orthogonal Lest
Squares-Based Fuzzy Filter for Real-Time Analysis of Lung Sounds,”
IEEE Transactions on biomedical engineering, vol. 47, 1165-1176,
2000.
[8] 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, 2535-2538,
2003.
[9] S.A. Taplidou, L.J. Hadjileontiadis, T. Penzel, V. Gross, S.M. Panas,
“WED：An Efficient Wheezing-Episode Detector Based on Breath
Sounds Spectrogram Analysis,” Proceedings of the Annual
International Conference of the IEEE EMBS, 17-21, 2003.
[10] Styliani A. Taplidou, Leontios J. Hadjileontiadis, Ilias K. Kitsas,
Konstantinos I. Panoulas, Thomas Penzel, Volker Gross, Stavros M.
Panas, “On Applying Continuous Wavelet Transform in Wheeze
Analysis,” Proceedings of the Annual International Conference of
the IEEE EMBS, 3832-3835, 2004.
[11] V. Gross, Th. Penzel, L. Hadjileontiadis, U. Koehler, C. Vogelmeier,
“Electronic auscultation based on wavelet transformation in clinical
use,” Proceedings of the Annual International Conference of the
IEEE EMBS, 1531-1532, 2002.
[12] 顧潔修, “理學檢查與健康評估,” 藝軒出版社, 2003.
[13] G. Charbonneau, E. Ademovic, B.M.G. Cheetham, L.P. Malnberg, J.
Vanderschoot, A.R.A. Sovijarvi, “Basic techniques for respiratory
sound analysis,” Eur. Respir. Rev., 10:77, 625-635, 2000.
[14] A.R.A. Sovijarvi, L.P. Malmberg, G. Charbonneau, J. Vanderschoot,
F. Dalmasso, C. Sacco, M. Rossi, J.E. Earis, “Characteristics of
breath sounds and adventitious respiratory sounds,” Eur. Respir. Rev.,
10:77, 591-596, 2000.
[15] Hasse Melbye, “Auscultation of the lungs, still a useful
examination?,” Tidsskr Nor Laegeforen, 121, 451-4, 2001.
[16] Hans Pasterkamp, Steve S. Kraman, George R. Wodicka,
“Respiratory Sounds Advances Beyond the Stethoscope,” Am. J.
Respir. Crit. Care Med., vol. 156, 974-987, 1997.
[17] A. Kandaswamy, C. Sathish Kumar, Rm. Pl. Ramanathan, S.
Jayaraman, N. Malmurugan, “Neural classification of lung sounds
using wavelet coefficients,” Computers in Biology and Medicine 34,
523-537, 2004.
[18] J.E. Earis, B.M.G. Cheetham, “Future perspectives for respiratory
sound research,” Eur. Respir. Rev., 10:77, 641-646, 2000.
[19] A. Cohen, “Signal processing methods for upper airway and
pulmonary dysfunction diagnosis,” IEEE Eng. Med. Biol. Mag., pp.
72-75, 1990.
[20] 葉怡成, “類神經網路模式應用與實作,” 台北：儒林, 2003.