Qing-Hua Hea, Bin Yub, Xin Honga, Bo Lva, Tao Liub, Jian Ranb, Yu-Tian Bia
Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 223-230, 2018, DOI: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 More >
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