摘要
介绍了一种新的心音信号识别方法——状态描述方法(SRM),它不仅能有效区分正异常心音,还能对同一个人不同时期的心音状态进行评估。利用SRM分析心音信号,通过传统的方法提取出心音信号的特征值后,构建出SRM模型。实验结果表明:通过该模型可以有效区分不同状态的心音信号。区别于传统心音识别方法,SRM通过尺度的变化能不同程度地显示心音的状态变化,为研究生物信号模式识别提供了一种新的思路。
In this paper,a new method was introduced for recognition of heart sound signal——state representation methodology（SRM）.By using this method,not only the abnormal heart sounds could be distinguished effectively,the state of heart sound of the same person at different times could also be evaluated.Characteristic values of heart sound signals were extracted by the traditional method,and then to build a model of the SRM.Results showed that different state of heart sound signals can distinguished effectively between through this model.SRM,different from traditional recognition method of heart sound,could show the change of state of heart sound through the change of the scale,and it also provided a new tool to study biomedical signal pattern.
出处
《重庆理工大学学报（自然科学）》
CAS
2014年第3期110-115,共6页
Journal of Chongqing University of Technology：Natural Science
基金
重庆市教委科学技术研究项目(KJ120807)
关键词
心音识别
心音状态评估
状态描述方法
生物信号模式识别
recognition of heart sound
heart sound state assessment
state representation methodology
biomedical signal pattern recognition
