Pulmonary crackle detection based on fractional Hilbert Transform

摘要：

　　Crackles are an important kind of abnormal and discontinuous lung sounds,which have been found to be correlated to types of pulmonary diseases.The purpose of this work is to show a new perspective to solve the problem of crackle detection,based on an emerging theory of fractional Hilbert transform.By applying fractional Hilbert transform to lung sound signals,a two-dimension texture image can be generated.The texture features corresponding to crackles are quite easy to be extracted.Experiments illustrate the effectiveness of our method.

关键词： lung sounds pulmonary crackles fractional Hilbert transform texture feature extraction

作者: Z. Li X. Wu

作者单位: School of Biomedical Science and Engineering, South China University of Technology, Guangzhou, China

会议类型: 国际会议

会议名称: World Congress on Medical Physics and Biomedical Engineering (2012年医学物理及生物医学工程国际会议(IFMBE))

会议地点: 北京

会议语种:英文

页码: 578-580

在线出版日期: 2012-05-26（万方平台首次上网日期，不代表论文的发表时间）