基于S变换的罗音信号检测算法  

Detection Algorithm of Crackle Signals Based on S Transform

作　　者：李真真[1] 吴效明[1] 

机构地区：[1]华南理工大学生物科学与工程学院,广东广州510006

出　　处：《华南理工大学学报（自然科学版）》2013年第6期1-5,共5页Journal of South China University of Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(81070612)

摘　　要：呼吸音中的罗音信号随机性强,变异性大,同时又蕴含了丰富的疾病信息.为从呼吸音中有效地检测出罗音,文中引入S变换,提出了一种基于S变换的罗音信号检测算法.首先从呼吸音信号S变换的时频谱图中提取罗音的时频特征,降维后采用局部峰值判别法检测罗音.实验结果表明,该算法的罗音信号检测正确率达93.70%,检测性能优于其他算法,说明该检测算法是有效的.Crackle signals in respiratory sounds are of strong randomness and high variability and they contain lots of disease information.In order to detect crackle signals,the S transform is introduced and a detection algorithm based on S transform is proposed.In this algorithm,time-frequency features of crackle signals are extracted from the S-transform time-frequency spectrum of respiratory sound signals.Then,after a dimension reduction,local peaks are picked out to detect crackles.Experimental results show that the proposed algorithm is effective because it is of an accuracy up to 93.70%,which is higher than that of some other detection algorithms.

关 键 词：信号处理 信号检测 罗音信号 计算机辅助诊断 特征提取 时频分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]