title: [Crackle detection and classification based on matched wavelet transform].
abstract: In this paper, we present a method for crackle detection which is based on 'matched' wavelet transform. We first modeled crackles as a mathematical function. Then we designed a matched mother wavelet based on this model. Applying a soft-threshold to the results of the continuous wavelet transform to suppress noise further, we obtained the optimal scale Crackles were detected based on the envelope of the signal at optimal scale, and could be classified based on energy distribution with scale. The theory, methods and experimental results are given in detail.
authors.affiliation: Departmnet of Electronic and Telecommunication Engineering, South China University of Technology, Guangzhou 510641.
authors.forename: M
authors.initials: M
authors.lastname: Du
authors.forename: J
authors.initials: J
authors.lastname: Sun
authors.forename: R
authors.initials: R
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D006801:Humans; D012135:Respiratory Sounds / Q000145:classification* / Q000175:diagnosis*; D012815:Signal Processing, Computer-Assisted