期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：4
出版社：IJCSI Press
摘要：In this paper, a classification scheme has been proposed to classify crackles based on waveform features and frequency domain features. This purpose is very important in the analysis of respiratory disorders. In fact, morphological characters of crackles can be well represented by time amplitude distribution. Thus, they convey significant diagnostic information, for their precise timing in the respiratory cycle, their repeatability, and shape all mightily correlate with pulmonary diseases. The ability to analyze the acoustic patterns of these breathing-induced phenomena will enhance the expertise of the physiology and pathophysiology of respiratory disorders that can be very useful in clinical considerations.
