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《Beijing Biomedical Engineering》 2008-03
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Application of empirical mode ecomposition in the detection of cough sound

ZHONG Sijun1,LAI Kefang2,DU Minghui1,CHEN Ruchong2,HU Weiping1,CHEN Rongchang2,ZHONG Nanshan2 1 College of Electronic & Information Engineering,South China University of Technology,Guangzhou 510640;2 Institute of Guangzhou Respiratory Diseases,Guangzhou 510120  
Cough is a common symptom of many respiratory diseases.The evaluation to its intensity and frequency of occurrence provides valuable clinical information in the assessment of patients with cough.Empirical mode decomposition(EMD)and Teager energy operators(TEO)were applied to the characteristic parameters procurement in the detection of cough sound.Compared with the traditional method via empirical mode decomposition the dimension of the feature is reduced.Experiment results show that the new feature with EMD and TEO is efficient for detecting cough sound in high.
【Fund】: 广东省自然科学基金(05006593)资助
【CateGory Index】: R318
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