A wavelet-based instrument for detection of crackles in pulmonary sounds

Crackles are discontinuous adventitious respiratory sounds, which are considered as signs of various pulmonary disorders, therefore their detection is important in the analysis of lung sounds. In this work, an instrument for separating crackles from stationary lung sounds and quantifying their characteristics is realized with DSP. The detection algorithm is based on increasing transient to background ratio by adaptive filtering and implementing nonlinear operators to wavelet based decomposed lung sounds.