CAJ | 학술논문

目的：探索一种生物医学信号模式（BSP）系统状态评估（SRM）的新方法。方法基于心音信号、心电信号、呼吸信号，针对BSP描述的重要研究问题，在比较支持向量机（SVM）、响应面法（RSM）等几种传统方法之后，采用频率切片小波变换（FSWT）的方法提取BSP信号的动态阻尼特征，从而提出了一种SRM分析的新思路。以心音信号分析为例，给出了SRM评估方法的一般步骤。结果以40例正常心音病例建立SRM模型，以80例异常心音病例进行SRM状态比较，发现两组人群存在明显的状态分布差异。结论将SRM与FSWT相结合可以为BSP分析提供一种新方法，为BSP分析提供强有力的开发工具。
목적：탐색일충생물의학신호모식（BSP）계통상태평고（SRM）적신방법。방법기우심음신호、심전신호、호흡신호，침대BSP묘술적중요연구문제，재비교지지향량궤（SVM）、향응면법（RSM）등궤충전통방법지후，채용빈솔절편소파변환（FSWT）적방법제취BSP신호적동태조니특정，종이제출료일충SRM분석적신사로。이심음신호분석위례，급출료SRM평고방법적일반보취。결과이40례정상심음병례건립SRM모형，이80례이상심음병례진행SRM상태비교，발현량조인군존재명현적상태분포차이。결론장SRM여FSWT상결합가이위BSP분석제공일충신방법，위BSP분석제공강유력적개발공구。
Objective To explore a kind of biomedical signal pattern (BSP) with a new method called as state representation methodology (SRM ) .Methods Based on the heart sound signals ,ECG signals ,breathing ,as the important research problem for BSP description ,with some comparisons on several traditional methods ,in which support vector machines (SVM ) and response sur-face methodology (RSM ) etc .,using frequency slice wavelet transform (FSWT ) method to extract the BSP signal dynamic damping characteristics ,thus ,this paper proposes a new idea of SRM analysis .In the case of heart sound signal analysis ,the general steps of SRM evaluation method is given .Results In 40 cases of normal heart sounds SRM model is set up ,with 80 cases of abnormal heart sounds are compared ,the obvious differences of the SRM state distributions of the two groups are found .Conclusion The combi-nation of SRM with FSWT can provide a novel approach for BSP analysis ,and provide powerful development tool for the analysis of BSP .