[Crackle detection and classification based on matched wavelet transform]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 1998 Dec;15(4):400-5.
[Article in Chinese]

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.

Publication types

  • English Abstract

MeSH terms

  • Algorithms
  • Humans
  • Respiratory Sounds / classification*
  • Respiratory Sounds / diagnosis*
  • Signal Processing, Computer-Assisted*