Title :
Separation of Crackles From Vesicular Sounds Using Wavelet Packet Transform
Author :
Bahoura, Mohammed ; Lu, Xiaoguang
Author_Institution :
Departement de Math., d´´Informatique et de Genie, Quebec Univ., Rimouski, Que.
Abstract :
Crackles are discontinuous adventitious lung sounds with an explosive and transient character, and occur frequently in pulmonary diseases. They are the most important parameter for the diagnosis. This paper presents a new filter for automatic separation of the crackles from vesicular sounds. The proposed filter is based on the wavelet packet transform and applies two thresholds, which are defined in time-domain and frequency-domain respectively, to wavelet coefficients to achieve the separation task. This filter is more accurate and efficient compared to its rivals. Experimental results are given in detail and demonstrate its excellent performance
Keywords :
acoustic signal processing; bioacoustics; diseases; filtering theory; medical signal processing; patient diagnosis; source separation; wavelet transforms; crackles; discontinuous adventitious lung sounds; filter; pulmonary diseases; vesicular sounds; wavelet packet transform; Discrete wavelet transforms; Diseases; Explosives; Filters; Frequency; Lungs; Time domain analysis; Wavelet domain; Wavelet packets; Wavelet transforms;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660533