ecg.m

这是一个课程设计

%基于小波理论的心电信号处理模块-电信0501罗运华  www.physionet.org/physiobank/database
%定义全局变量
wname='db3';level=6;
screen=get(0,'ScreenSize');
W=screen(3);H=screen(4);
figure('Color',[1,1,1],'Position',[0.1*W,0.5*H,0.6*W,0.7*H],...
    'Name','基于小波理论的心电信号分析演示系统---电信0501罗运华',...
    'NumberTitle','off','MenuBar','none');

hplot=uimenu(gcf,'Label','认识心电信号');
hsignal1=uimenu(hplot,'Label','心电信号','Call','egc_time');
hsignal2=uimenu(hplot,'Label','听觉心电信号','Call','soundplay');

%处理方式
hproc=uimenu(gcf,'Label','信号小波分解');
hproc1=uimenu(hproc,'Label','基于Haar小波','Call','Haar_anly');
hproc2=uimenu(hproc,'Label','基于db6小波','Call','db6_anly');
hproc3=uimenu(hproc,'Label','基于sym3小波','Call','sym3_anly');


hproa=uimenu(gcf,'Label','心电信号降噪');
hproa3=uimenu(hproa,'Label','Birge-Massart策略阈值降噪','Call','rwden');
hproa3=uimenu(hproa,'Label','最优预测软阈值降噪','Call','optden');
hproa4=uimenu(hproa,'Label','最小均方差软阈值降噪','Call','maxminden');


hprob=uimenu(gcf,'Label','心电信号压缩');
hprob3=uimenu(hprob,'Label','Birge-Massart策略硬阈值压缩','Call','hwden');

%退出
hquit=uimenu(gcf,'Label','退出模块');
hquit=uimenu(hquit,'Label','退出系统','Call','Close(gcf)');
figure(1);
T=imread('page.jpg');
imshow(T);