RESUMEN
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 .