Pulmonary Crackle Detection Based on Fractional Hilbert Transform
LI Zhen-zhen
School of Biomedical Science and Engineering,South China University of Technology,Guangzhou 510006,China
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.
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分类号：TN911(通信)
论文发表日期：2019-12-30
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：4( 181-184 )
英文信息