Multi-resolution decomposition applied to crackle detection

• Published in: 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation Vol. 5; pp. 4223 - 4226 vol.5
• Main Authors: Du, M., Lam, F.K., Chan, F.H.Y., Sun, J.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 1997
• Subjects: Continuous wavelet transforms; Diseases; Energy resolution; Explosives; Frequency; Lungs; Multiresolution analysis; Shape; Timing; Wavelet transforms
• ISBN: 9780780340534; 0780340531
• ISSN: 1062-922X; 2577-1655
• DOI: 10.1109/ICSMC.1997.637362

Crackles, heard over the lungs in a variety of diseases, are one of the most important physical signs in clinical medicine. They have an explosive pattern in the time domain, with a rapid onset and short duration. The timing, repeatability and shape of crackles are important parameters for diagnosis. Therefore, automatic detection of crackles and their classification as fine and coarse crackles have important clinical value. Since the multi-resolution decomposition technique can give high resolution in both time and frequency, it can be exploited to detect crackles and to classify them according to the information in each scale. In this paper, we present a new method for crackle detection based on the continuous wavelet transform. The theory, methods and experimental results are given in detail in this paper.