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An Improved Lung Sound De-noising Method by Wavelet Packet Transform with Pso-Based Threshold Selection

Qing-Hua Hea, Bin Yub, Xin Honga, Bo Lva, Tao Liub, Jian Ranb, Yu-Tian Bia

a State Key Laboratory of Trauma, Burns and Combined Injury, Daping Hospital, Surgery Institute of the Third Military Medical University, Chongqing 400042, China;
b College of Communication Engineering, Chongqing University, Chongqing 400044, China

* Corresponding Author: Yu-Tian Bi, email

Intelligent Automation & Soft Computing 2018, 24(2), 223-230. https://doi.org/10.1080/10798587.2016.1261957

Abstract

Lung abnormalities and respiratory diseases increase with the development of urban life. Lung sound analysis provides vital information of the present condition of the pulmonary. But lung sounds are easily interfered by noises in the transmission and record process, then it cannot be used for diagnosis of diseases. So the noised sound should be processed to reduce noises and to enhance the quality of signals received. On the basis of analyzing wavelet packet transform theory and the characteristics of traditional wavelet threshold de-noising method, we proposed a modified threshold selection method based on Particle Swarm Optimization (PSO) and support vector machine (SVM) to improve the quality of the signal, which has been polluted by noises. Experimental results show that the recognition accuracy of de-noised lung sounds by the improved de-noising method is 90.03%, which is much higher than by the other traditional de-noising methods. Meanwhile, the lung sound processed by the proposed method sounds better than by other methods. All results make it clear the modified threshold selection can obtain a better threshold vector and improve the quality of lung sounds.

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Cite This Article

APA Style
He, Q., Yu, B., Hong, X., Lv, B., Liu, T. et al. (2018). An improved lung sound de-noising method by wavelet packet transform with pso-based threshold selection. Intelligent Automation & Soft Computing, 24(2), 223-230. https://doi.org/10.1080/10798587.2016.1261957
Vancouver Style
He Q, Yu B, Hong X, Lv B, Liu T, Ran J, et al. An improved lung sound de-noising method by wavelet packet transform with pso-based threshold selection. Intell Automat Soft Comput . 2018;24(2):223-230 https://doi.org/10.1080/10798587.2016.1261957
IEEE Style
Q. He et al., “An Improved Lung Sound De-noising Method by Wavelet Packet Transform with Pso-Based Threshold Selection,” Intell. Automat. Soft Comput. , vol. 24, no. 2, pp. 223-230, 2018. https://doi.org/10.1080/10798587.2016.1261957



cc Copyright © 2018 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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