摘要
为了帮助初学者从"听"和"视"两个方面来学习和掌握不同心音的特点,设计了一种可视化心音诊断教学系统。系统首先将读入的信号利用fir滤波器进行滤波处理,之后采用S变换提取信号包络,并分别从ARMA双谱分析、CWD分布两个不同方面进行分析,来提供心音信号的时频特征。以Delphi为开发平台,结合第三方组件DewLab Studio、AudioLab、PlotLab以及Python语言进行系统开发。与传统的以"听"为主的心音教学方法相比,系统从可视、可听两个方面进行教学,提高教学效果。
This paper designs a visualization heart sound diagnosis teaching system,used to help beginners to learn and master the characteristics of different heart sound from listening and see two aspects.First filtered the signal been read into the system through the fir filter,then by S transform to extract the signal envelope,and then from ARMA bispectrum analysis, CWD distribution of the two different aspects,to provide time-frequency characteristics of heart sound signals.With Delphi development platform,combined with third-party components DewLab Studio,AudioLab,PIotLab,and python language for system development.
出处
《工业控制计算机》
2012年第12期26-28,共3页
Industrial Control Computer
基金
教育部高职高专计算机类专业2011年度规划课题(jzw590111059)
