使用雙邊濾波影像處理技術的哮鳴偵測系統

Wheeze Detecting System based on 2D Bilateral Filtering of Spectrogram Image

張峰嘉(Feng-Chia Chang)

指導教授 ： 張璞曾

共同指導教授 ： 吳惠東

國立臺灣大學/電機資訊學院/電機工程學研究所/碩士(2004年)

https://doi.org/10.6342/NTU.2004.01673

摘要

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關鍵字

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並列摘要

Abstract

This thesis focuses on two important objectives. Firstly, construct an easy, low-cost and high performance respiratory sound capturing system in accordance with CORSA standard. Then, develop a high performance record-position-independent and system-easy-to-transplant wheeze episode detecting algorithm based on spectrogram image processing of respiratory sounds.
The analog circuit design process is followed by direct PC soundcard digitalization for sound capturing. Spectrogram images generated from recorded sounds are passed through a 2D bilateral filter to do edge-preserving smoothing. Then the processed data go through edge detecting procedures, wheeze-with or -without sounds are elaborately recognized. The result shows both high sensibility of 0.946 and specificity of 0.92 in qualitative analysis of wheezes from different recording locations.
Due to its high efficiency, great performance and easy-to-implement characteristics, 2-D bilateral filtering can be perfectly adapted for real-time monitoring of respiratory sounds for wheezes detection.

並列關鍵字

wheeze ； spectrogram ； bilateral filter ； CORSA ； respiratory sound

參考文獻

[11] 鄭博順, “超音波影像量測系統 -- 肱動脈血管擴張反應之分析,” 國立台灣大學, 電機工程學研究所, 碩士論文, 2004年6月.

[4] Grotberg JB, Gavriely N. “Flutter in collapsible tubes: theoretical model of wheezes,” J Appl Physiol 1989; 66: 2262-2273.

[7] Groom D. Standardization in phonocardiography. “The microphone pickup,” Cardiology 1970; 55: 129 – 135.

[9] C. Tomasi and R. Manduchi, “Bilateral filtering for gray and color images,” in Proc. 6th Int. Conf. Computer Vision, New Delhi, India, 1998, pp. 839 – 846

[10] M. Elad, “On the Origin of the Bilateral Filter and Ways to Improve it,” Accepted to the IEEE Transactions On Image Processing on October 2001.