现代电子技术Issue(3)：18-22,5.DOI:10.16652/j.issn.1004-373x.2016.03.005
基于小波变换的呼吸音降噪新方法研究
Research on wavelet transform based new denoising methods for respiratory sound
摘要
Abstract
To denoise the noise⁃involved respiratory sound signal,which is collected from the clinic,two denoising methods based on the wavelet multi⁃resolution decomposition and reconstruction are discussed,one is based on the adaptive wavelet threshold(AWT),and another is based on the stationary⁃non⁃stationary filtering technology. The respiratory sound as the noise is eliminated with the former method,and then the threshold quantization for the high⁃frequency wavelet coefficient of each layer of the acquisition signal is conducted by parameter mediation. The respiratory sound and heart sound are separated into two spaces by the stationary⁃non⁃stationary filtering technology,and then the respiratory sound is reconstructed by reconstructing the wavelet coefficients of the two spaces. The extraction experiments of standard signals and respiratory sound collected from the clinic were conducted. The experiment results show that the method based on the stationary⁃non⁃stationary filtering technology has good effect on bronchial respiratory sound denoising for the normal patients,and the method based on AWT has good effect on wheezing de⁃noising for the asthma patients. The two methods have strong practical value,and can obtain high SNR respiratory sound signal, which provides the foundation for subsequent feature extraction and classification of the respiratory sound.关键词
呼吸音/心音/小波自适应阈值/平稳-非平稳滤波技术/降噪Key words
respiratory sound/heart sound/AWT/stationary-non-stationary filtering technology/denoising分类
信息技术与安全科学引用本文复制引用
秦国瑾,吴昭萍,王馨平,房玉,王海滨,甘凤萍..基于小波变换的呼吸音降噪新方法研究[J].现代电子技术,2016,(3):18-22,5.基金项目
国家自然基金（61571371）；四川省重点实验室开放研究基金资助项目（szjj2013-014）；四川省科技创新苗子工程（2015100）；四川省科技创新苗子工程（2015084）；西华大学研究生创新基金项目 （）
