正常的心电图中，每个心跳周期内包含三个主要的特征波：Ｐ波、QRS波和Ｔ波，如下图所示。心电特征波能够反映心脏的生理状态信息，通过对其形状、幅值和持续时间的分析，可以用来辅助诊断心血管疾病。对于常见的ECG异常，如心律失常、房颤等，诊断依赖专家和临床医生对ECG进行目视检查。然而，随着心电数据规模不断扩大，分析大量的数据非常耗时，且受到专业知识的限制，及心电专家个人主观判断和经验的影响。
鉴于此，提出一种基于信号处理的心电信号ECG特征波分割方法，运行环境为MATLAB，分割算法的代码如下：
function [ECG_Struct] = ECG_Segmentation(signal,Fs,ECG_distance_threshold_sensivity,ECG_peak_sensivity,Plot_on)
ECG_Struct =struct;
if(nargin<1)
ECG_Struct=[];
return;
elseif(nargin<2)
Fs=1000;
elseif (nargin<3)
ECG_distance_threshold_sensivity=5;
ECG_peak_sensivity=35;
Plot_on=1;
elseif (nargin<4)
ECG_peak_sensivity=35;
Plot_on=1;
elseif (nargin<5)
Plot_on=1;
end
ECG_peak_threshold=round(Fs/100);
ECG_data=signal;
data_len=length(ECG_data);
format long
BL=[1 zeros(1,5) -2 zeros(1,5) 1];
AL=[32,-64,32];
BH=[-1 zeros(1,15) 32 -32 zeros(1,14) 1];
AH=[32 -32];
AINT=[8];
BINT=[2 1 0 -1 -2 ];
BMOV=ones(1,30)./30;
AMOV=[1];
min_distance=(Fs/2)-round(Fs/6);
[preB,preA]=butter(4,[2/Fs 60/Fs]);
y=filtfilt(preB,preA,ECG_data);
yL=filter(BL,AL,y);
yH=filter(BH,AH,yL);
yder=filter(BINT,AINT,yH);
ysqu=yder.^2;
yaov=filter(BMOV,AMOV,ysqu);
[pks,locs]=findpeaks(yaov,'MinPeakDistance',Fs);
ECG_range=median(pks)+median(pks)/ECG_distance_threshold_sensivity;
if(max(pks>=ECG_range))
pks= pks(~(pks>=ECG_range));
locs=locs(~(pks>=ECG_range));
end
Threshold=max(pks)*ECG_peak_sensivity/100;
clear pks locs
[pks,locs]=findpeaks(yaov,'MinPeakHeight',Threshold,'MinPeakDistance',min_distance);
new_locs=zeros([size(locs)]);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
grp_delay = 23; % group delay of Pan-Tompkins filters.
if(locs(1,1)>round(Fs/grp_delay))
new_locs=locs-round(Fs/grp_delay);
else
% new_locs=[locs(1,1) locs(2:end)-round(Fs/23)];
new_locs=locs(2:end)-round(Fs/grp_delay);
pks=pks(2:end);
end
%%%%%%%%%R peak correction%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for i=2:length(new_locs)
[d,r]=max(abs(ECG_data(new_locs(i)-ECG_peak_threshold : new_locs(i)+ECG_peak_threshold)));
new_locs(i)=new_locs(i)-ECG_peak_threshold+r-1;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
P_waves=[];
P_wave_locs=[];
T_waves=[];
T_wave_locs=[];
Q_waves=[];
Q_wave_locs=[];
S_waves=[];
S_wave_locs=[];
QT_intervals_locs=[];
PR_intervals_locs=[];
QRS_complex_locs=[];
for i=1:length(new_locs)-1
isoelectric_line(i)=mean(ECG_data(new_locs(i):new_locs(i+1)));
end
for i=1:length(new_locs)-2
duration_coef=round(abs(new_locs(i+1)-new_locs(i)));
if(duration_coef<=Fs)
Q_T_duration=duration_coef/2;
P_R_duration=duration_coef/4;
QRS_mid_duration=0.06*duration_coef;
else
Q_T_duration=Fs/2;
P_R_duration=Fs/4;
QRS_mid_duration=0.06*Fs;
end
x=ECG_data(round(new_locs(i+1)-P_R_duration:new_locs(i+1)-QRS_mid_duration));
y=ECG_data(round(new_locs(i+1)+QRS_mid_duration:new_locs(i+1)+Q_T_duration));
z=ECG_data(round(new_locs(i+1)-QRS_mid_duration:new_locs(i+1)));
h=ECG_data(round(new_locs(i+1):new_locs(i+1)+QRS_mid_duration));
P_waves=[P_waves max(x)];
k=find(ECG_data==max(x));
P_wave_locs=[P_wave_locs k(1,1)];
T_waves=[T_waves max(y)];
k=find(ECG_data==max(y));
T_wave_locs=[T_wave_locs k(1,1)];
Q_waves=[Q_waves min(z)];
k=find(ECG_data==min(z));
Q_wave_locs=[Q_wave_locs k(1,1)];
S_waves=[S_waves min(h)];
k=find(ECG_data==min(h));
S_wave_locs=[S_wave_locs k(1,1)];
end
Q_isolation=[];
for(i=1:length(Q_wave_locs))
cnt=0;
for j=1:duration_coef
if(Q_wave_locs(i)-j < 1)
break;
end
if(ECG_data(Q_wave_locs(i))<=isoelectric_line(i))
if(ECG_data(Q_wave_locs(i)-j)>=isoelectric_line(i))
Q_isolation=[Q_isolation Q_wave_locs(i)-j];
cnt=1;
break;
end
else
if(ECG_data(Q_wave_locs(i)-j)<=isoelectric_line(i))
Q_isolation=[Q_isolation Q_wave_locs(i)-j];
cnt=1;
break;
end
end
end
if(cnt==0)
Q_isolation=[Q_isolation Q_wave_locs(i)-j];
end
end
S_isolation=[];
for(i=1:length(S_wave_locs))
cnt=0;
for j=1:duration_coef
if(S_wave_locs(i)+j > data_len)
break;
end
if(ECG_data(S_wave_locs(i))<=isoelectric_line(i))
if(ECG_data(S_wave_locs(i)+j)>=isoelectric_line(i))
S_isolation=[S_isolation S_wave_locs(i)+j];
cnt=1;
break;
end
else
if(ECG_data(S_wave_locs(i)+j)<=isoelectric_line(i))
S_isolation=[S_isolation S_wave_locs(i)+j];
cnt=1;
break;
end
end
end
if(cnt==0)
S_isolation=[S_isolation Q_wave_locs(i)-j];
end
end
P_isolation_1=[];
for(i=1:length(P_wave_locs))
cnt=0;
for j=1:duration_coef
if(P_wave_locs(i)-j < 1)
break;
end
if(ECG_data(P_wave_locs(i))<=isoelectric_line(i))
if(ECG_data(P_wave_locs(i)-j)>=isoelectric_line(i))
P_isolation_1=[P_isolation_1 P_wave_locs(i)-j];
cnt=1;
break;
end
else
if(ECG_data(P_wave_locs(i)-j)<=isoelectric_line(i))
P_isolation_1=[P_isolation_1 P_wave_locs(i)-j];
cnt=1;
break;
end
end
end
if(cnt==0)
P_isolation_1=[P_isolation_1 P_wave_locs(i)-j];
end
end
P_isolation_2=[];
for(i=1:length(P_wave_locs))
cnt=0;
for j=1:duration_coef
if(P_wave_locs(i)+j > data_len)
break;
end
if(ECG_data(P_wave_locs(i))<=isoelectric_line(i))
if(ECG_data(P_wave_locs(i)+j)>=isoelectric_line(i))
P_isolation_2=[P_isolation_2 P_wave_locs(i)+j];
cnt=1;
break;
end
else
if(ECG_data(P_wave_locs(i)+j)<=isoelectric_line(i))
P_isolation_2=[P_isolation_2 P_wave_locs(i)+j];
cnt=1;
break;
end
end
end
if(cnt==0)
P_isolation_2=[P_isolation_2 P_wave_locs(i)+j];
end
end
T_isolation_1=[];
for(i=1:length(T_wave_locs))
cnt=0;
for j=1:duration_coef
if(T_wave_locs(i)-j < 1)
break;
end
if(ECG_data(T_wave_locs(i))<=isoelectric_line(i))
if(ECG_data(T_wave_locs(i)-j)>=isoelectric_line(i))
T_isolation_1=[T_isolation_1 T_wave_locs(i)-j];
cnt=1;
break;
end
else
if(ECG_data(T_wave_locs(i)-j)<=isoelectric_line(i))
T_isolation_1=[T_isolation_1 T_wave_locs(i)-j];
cnt=1;
break;
end
end
end
if(cnt==0)
T_isolation_1=[T_isolation_1 T_wave_locs(i)-j];
end
end
T_isolation_2=[];
for(i=1:length(T_wave_locs))
cnt=0;
for j=1:duration_coef
if(T_wave_locs(i)+j >data_len)
break;
end
if(ECG_data(T_wave_locs(i))<=isoelectric_line(i))
if(ECG_data(T_wave_locs(i)+j)>=isoelectric_line(i))
T_isolation_2=[T_isolation_2 T_wave_locs(i)+j];
cnt=1;
break;
end
else
if(ECG_data(T_wave_locs(i)+j)<=isoelectric_line(i))
T_isolation_2=[T_isolation_2 T_wave_locs(i)+j];
cnt=1;
break;
end
end
end
if(cnt==0)
T_isolation_2=[T_isolation_2 T_wave_locs(i)+j];
end
end
clear x y k z h
if (Plot_on >=1)
fig=figure('WindowState','maximized');
t=1/Fs:1/Fs:length(ECG_data)/Fs;
plot(t,ECG_data);
hold on
txt = 'P';
plot(P_wave_locs/Fs,P_waves,'s');
text(P_wave_locs/Fs,P_waves,txt,'FontSize',14)
txt = 'T';
plot(T_wave_locs/Fs,T_waves,'o')
text(T_wave_locs/Fs,T_waves,txt,'FontSize',14)
txt = 'Q';
plot(Q_wave_locs/Fs,Q_waves,'*')
text(Q_wave_locs/Fs,Q_waves,txt,'FontSize',14)
txt = 'S';
plot(S_wave_locs/Fs,S_waves,'+')
text(S_wave_locs/Fs,S_waves,txt,'FontSize',14)
txt = 'R';
plot(new_locs/Fs,ECG_data(new_locs),'x');
text(new_locs/Fs,ECG_data(new_locs),txt,'FontSize',14)
%%%%%%%%%%%%P wave%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for i=1:length(P_isolation_1)
plot((P_isolation_1(i):P_isolation_2(i))/Fs,ECG_data(P_isolation_1(i):P_isolation_2(i)),'g');
end
%%%%%%%%%%%%QRS COMPLEX%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for i=1:length(Q_isolation)
plot((Q_isolation(i):S_isolation(i))/Fs,ECG_data(Q_isolation(i):S_isolation(i)),'r');
end
QRS_Complex= [Q_isolation;S_isolation];
%%%%%%%%%%%%T wave%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for i=1:length(T_isolation_1)
plot((T_isolation_1(i):T_isolation_2(i))/Fs,ECG_data(T_isolation_1(i):T_isolation_2(i)),'y');
end
line_threshold=mean(ECG_data(new_locs));
%%%%%%%%%%%%QT interval%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for i=1:length(Q_isolation)
dump=pks(i)+ones(1,length(Q_isolation(i):T_isolation_2(i))-2)*line_threshold;
plot((Q_isolation(i):T_isolation_2(i))/Fs,[line_threshold dump line_threshold],'-r','LineWidth',1.2);
end
line_threshold=mean(ECG_data(new_locs));
%%%%%%%%%%%%PR interval%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for i=1:length(Q_isolation)
%dump=[dump Q_isolation(i):T_isolation(i)];
dump=pks(i)+ones(1,length(P_isolation_1(i):Q_isolation(i))-2)*line_threshold;
plot((P_isolation_1(i):Q_isolation(i))/Fs,[line_threshold dump line_threshold],'-g','LineWidth',1.2);
end
line_threshold=mean(ECG_data(new_locs))+mean(ECG_data(new_locs))*0.10;
%%%%%%%%%%%%PR Segment%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for i=1:length(Q_isolation)
%dump=[dump Q_isolation(i):T_isolation(i)];
dump=pks(i)+ones(1,length(P_isolation_2(i):Q_isolation(i))-2)*line_threshold;
if ~isempty(dump)
plot((P_isolation_2(i):Q_isolation(i))/Fs,[line_threshold dump line_threshold],'-b','LineWidth',1.2);
end
end
line_threshold=mean(ECG_data(new_locs))+mean(ECG_data(new_locs))*0.10;
%%%%%%%%%%%%ST segment interval%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for i=1:length(Q_isolation)
dump=pks(i)+ones(1,length(S_isolation(i):T_isolation_1(i))-2)*line_threshold;
if ~isempty(dump)
plot((S_isolation(i):T_isolation_1(i))/Fs,[line_threshold dump line_threshold],'-k','LineWidth',1.2);
end
end
xlabel('Time in Seconds','fontsize',24)
ylabel('12bit Raw ECG','fontsize',24);
title('ECG Segmentation','fontsize',24);
set(gca,'Fontsize',16)
%saveas(fig,'son.png');
%xlim([5,10]);
%saveas(fig,'son2.png');
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%NEW METHOD OF FICIDUAL POINTS
%(Her EKG i莽in denenmedi ama 莽o冒unda 莽al媒镁媒yor)
R_wave_locs=new_locs(2:length(P_waves)+1)';
R_waves=ECG_data(new_locs(2:length(P_waves)+1))';
if(T_isolation_2(end)>length(ECG_data))
T_isolation_2(end)= length(ECG_data); %脟ok nadir durumlarda T_isolation d媒镁ar媒da kal媒yor. Hatay媒 engellemek i莽in yap媒ld媒.
end
dump=[R_waves,S_waves,Q_waves,P_waves,T_waves,ECG_data(T_isolation_1)',ECG_data(T_isolation_2)',ECG_data(P_isolation_1)',ECG_data(P_isolation_2)'];
max_point=max(dump);
min_point=min(dump);
r=max_point-min_point;
R_waves_normalized=((R_waves-min_point)/r)';
Q_waves_normalized=((Q_waves-min_point)/r)';
S_waves_normalized=((S_waves-min_point)/r)';
P_waves_normalized=((P_waves-min_point)/r)';
T_waves_normalized=((T_waves-min_point)/r)';
V5_points=((((ECG_data(P_isolation_1)'+ECG_data(P_isolation_2)')/2)-min_point)/r)';
V6_points=((((ECG_data(T_isolation_1)'+ECG_data(T_isolation_2)')/2)-min_point)/r)';
clear dump
A1=[];
for i=1:length(P_isolation_1)
x2=P_isolation_1(i)/Fs;y2=((ECG_data(P_isolation_1(i))-min_point)/r)';
x1=P_wave_locs(i)/Fs;y1=P_waves_normalized(i);
x3=Q_wave_locs(i)/Fs;y3=Q_waves_normalized(i);
%x2=P_isolation_1(i);y2=ECG_data(P_isolation_1(i));
%x1=P_wave_locs(i);y1=P_waves(i);
%x3=Q_wave_locs(i);y3=Q_waves(i);
A1(i)=Angle_of_2lines(x1,x2,x3,y1,y2,y3);
end
A2=[];
for i=1:length(P_isolation_1)
x2=S_wave_locs(i)/Fs;y2=S_waves_normalized(i);
x1=T_wave_locs(i)/Fs;y1=T_waves_normalized(i);
x3=T_isolation_2(i)/Fs;y3=((ECG_data(T_isolation_2(i))-min_point)/r)';
%x2=S_wave_locs(i);y2=S_waves(i);
%x1=T_wave_locs(i);y1=T_waves(i);
%x3=T_isolation_2(i);y3=ECG_data(T_isolation_2(i));
A2(i)=Angle_of_2lines(x1,x2,x3,y1,y2,y3);
end
A3=[];
for i=1:length(P_isolation_1)
x2=P_wave_locs(i)/Fs;y2=P_waves_normalized(i);
y1=Q_waves_normalized(i);x1=Q_wave_locs(i)/Fs;
x3=R_wave_locs(i)/Fs;y3=R_waves_normalized(i);
%x2=P_wave_locs(i);y2=P_waves(i);
%y1=Q_waves(i);x1=Q_wave_locs(i);
%x3=R_wave_locs(i);y3=R_waves(i);
A3(i)=Angle_of_2lines(x1,x2,x3,y1,y2,y3);
end
A4=[];
for i=1:length(P_isolation_1)
x2=R_wave_locs(i)/Fs;y2=R_waves_normalized(i);
y1=S_waves_normalized(i);x1=S_wave_locs(i)/Fs;
x3=T_wave_locs(i)/Fs;y3=T_waves_normalized(i);
%x2=R_wave_locs(i);y2=R_waves(i);
%y1=S_waves(i);x1=S_wave_locs(i);
%x3=T_wave_locs(i);y3=T_waves(i);
A4(i)=Angle_of_2lines(x1,x2,x3,y1,y2,y3);
end
A5=[];
for i=1:length(P_isolation_1)
x2=S_wave_locs(i)/Fs;y2=S_waves_normalized(i);
y1=R_waves_normalized(i);x1=R_wave_locs(i)/Fs;
x3=Q_wave_locs(i)/Fs;y3=Q_waves_normalized(i);
%x2=S_wave_locs(i);y2=S_waves(i);
%y1=R_waves(i);x1=R_wave_locs(i);
%x3=Q_wave_locs(i);y3=Q_waves(i);
A5(i)=Angle_of_2lines(x1,x2,x3,y1,y2,y3);
end
%T1->
T1=(P_isolation_2-P_isolation_1);
T1_scaled=ECG_Temp_Normalize(T1,R_wave_locs);
T1_scaled=T1_scaled/Fs;
%T2->
T2=(T_isolation_2-T_isolation_1);
T2_scaled=ECG_Temp_Normalize(T2,R_wave_locs);
T2_scaled=T2_scaled/Fs;
%T3->
T3=R_wave_locs-Q_wave_locs;
T3_scaled=ECG_Temp_Normalize(T3,R_wave_locs);
T3_scaled=T3_scaled/Fs;
%T4->
T4=S_wave_locs-R_wave_locs;
T4_scaled=ECG_Temp_Normalize(T4,R_wave_locs);
T4_scaled=T4_scaled/Fs;
%T5->
T5=Q_wave_locs-P_wave_locs;
T5_scaled=ECG_Temp_Normalize(T5,R_wave_locs);
T5_scaled=T5_scaled/Fs;
%T6->
T6=T_wave_locs-S_wave_locs;
T6_scaled=ECG_Temp_Normalize(T6,R_wave_locs);
T6_scaled=T6_scaled/Fs;
%T7->
T7=Q_wave_locs-P_isolation_1;
T7_scaled=ECG_Temp_Normalize(T7,R_wave_locs);
T7_scaled=T7_scaled/Fs;
%T8->
T8=T_isolation_2-S_wave_locs;
T8_scaled=ECG_Temp_Normalize(T8,R_wave_locs);
T8_scaled=T8_scaled/Fs;
%T9->
T9=R_wave_locs-P_isolation_2;
T9_scaled=ECG_Temp_Normalize(T9,R_wave_locs);
T9_scaled=T9_scaled/Fs;
%T10->
T10=T_isolation_1-R_wave_locs;
T10_scaled=ECG_Temp_Normalize(T10,R_wave_locs);
T10_scaled=T10_scaled/Fs;
%T11->
T11=R_wave_locs-P_wave_locs;
T11_scaled=ECG_Temp_Normalize(T11,R_wave_locs);
T11_scaled=T11_scaled/Fs;
%T12->
T12=T_wave_locs-R_wave_locs;
T12_scaled=ECG_Temp_Normalize(T12,R_wave_locs);
T12_scaled=T12_scaled/Fs;
%T13->
T13=R_wave_locs-P_isolation_1;
T13_scaled=ECG_Temp_Normalize(T13,R_wave_locs);
T13_scaled=T13_scaled/Fs;
%T14->
T14=T_isolation_2-R_wave_locs;
T14_scaled=ECG_Temp_Normalize(T14,R_wave_locs);
T14_scaled=T14_scaled/Fs;
%T15->
T15=T_wave_locs-P_wave_locs;
T15_scaled=ECG_Temp_Normalize(T15,R_wave_locs);
T15_scaled=T15_scaled/Fs;
%V1->
V1=R_waves-Q_waves;
V1_normalized=R_waves_normalized-Q_waves_normalized;
%V2->
V2=R_waves-S_waves;
V2_normalized=R_waves_normalized-S_waves_normalized;
%V3->
V3=P_waves-Q_waves;
V3_normalized=P_waves_normalized-Q_waves_normalized;
%V4->
V4=T_waves-S_waves;
V4_normalized=T_waves_normalized-S_waves_normalized;
%V5->
V5=P_waves-(ECG_data(P_isolation_1)'+ECG_data(P_isolation_2)')/2;
V5_normalized=P_waves_normalized-V5_points;
%V6->
V6=T_waves-(ECG_data(T_isolation_1)'+ECG_data(T_isolation_2)')/2;
V6_normalized=T_waves_normalized-V6_points;
%V7->
V7=Q_waves-S_waves;
V7_normalized=Q_waves_normalized-S_waves_normalized;
ECG_Struct.Ficidual_Points=[P_waves_normalized,Q_waves_normalized,R_waves_normalized,S_waves_normalized,T_waves_normalized,((ECG_data(P_isolation_1)'-min_point)/r)',((ECG_data(P_isolation_2)'-min_point)/r)',((ECG_data(T_isolation_1)'-min_point)/r)',((ECG_data(T_isolation_2)'-min_point)/r)'];
ECG_Struct.Temporal=[T1_scaled',T2_scaled',T3_scaled',T4_scaled',T5_scaled',T6_scaled',T7_scaled',T8_scaled',T9_scaled',T10_scaled',T11_scaled',T12_scaled',T13_scaled',T14_scaled',T15_scaled'];
ECG_Struct.Amplitudes=[V1_normalized,V2_normalized,V3_normalized,V4_normalized,V5_normalized,V6_normalized,V7_normalized];
ECG_Struct.Angles=[A1',A2',A3',A4',A5'];
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
ECG_Struct.ECG_data=ECG_data;
ECG_Struct.P_points=P_waves;
ECG_Struct.P_locs=P_wave_locs;
ECG_Struct.T_points=T_waves;
ECG_Struct.T_locs=T_wave_locs;
ECG_Struct.Q_points=Q_waves;
ECG_Struct.Q_locs=Q_wave_locs;
ECG_Struct.S_points=S_waves;
ECG_Struct.S_locs=S_wave_locs;
ECG_Struct.R_points=ECG_data(new_locs)';
ECG_Struct.R_locs=new_locs';
ECG_Struct.P_wave_interval=[P_isolation_1;P_isolation_2];
ECG_Struct.QRS_Complex_interval=[Q_isolation;S_isolation];
ECG_Struct.T_wave_interval=[T_isolation_1;T_isolation_2];
ECG_Struct.QT_interval=[Q_isolation;T_isolation_2];
ECG_Struct.PR_interval=[P_isolation_1;P_isolation_2];
ECG_Struct.PR_segment=[P_isolation_2;Q_isolation];
ECG_Struct.ST_segment=[S_isolation;T_isolation_1];
% a=length(P_isolation_1);
% b=length(P_isolation_2);
% if(a>b)
% ECG_Struct.P_wave_interval=[P_isolation_1(1:b);P_isolation_2(1:b)];
% else
% ECG_Struct.P_wave_interval=[P_isolation_1(1:a);P_isolation_2(1:a)];
% end
% a=length(Q_isolation);
% b=length(S_isolation);
% if(a>b)
% ECG_Struct.QRS_Complex_interval=[Q_isolation(1:b);S_isolation(1:b)];
% else
% ECG_Struct.QRS_Complex_interval=[Q_isolation(1:a);S_isolation(1:a)];
% end
% a=length(T_isolation_1);
% b=length(T_isolation_2);
% if(a>b)
% ECG_Struct.T_wave_interval=[T_isolation_1(1:b);T_isolation_2(1:b)];
% else
% ECG_Struct.T_wave_interval=[T_isolation_1(1:a);T_isolation_2(1:a)];
% end
% a=length(Q_isolation);
% b=length(T_isolation_2);
% if(a>b)
% ECG_Struct.QT_interval=[Q_isolation(1:b);T_isolation_2(1:b)];
% else
% ECG_Struct.QT_interval=[Q_isolation(1:a);T_isolation_2(1:a)];
% end
% a=length(P_isolation_1);
% b=length(P_isolation_2);
% if(a>b)
% ECG_Struct.PR_interval=[P_isolation_1(1:b);P_isolation_2(1:b)];
% else
% ECG_Struct.PR_interval=[P_isolation_1(1:a);P_isolation_2(1:a)];
% end
% a=length(P_isolation_2);
% b=length(Q_isolation);
% if(a>b)
% ECG_Struct.PR_segment=[P_isolation_2(1:b);Q_isolation(1:b)];
% else
% ECG_Struct.PR_segment=[P_isolation_2(1:a);Q_isolation(1:a)];
% end
% a=length(S_isolation);
% b=length(T_isolation_1);
% if(a>b)
% ECG_Struct.ST_segment=[S_isolation(1:b);T_isolation_1(1:b)];
% else
% ECG_Struct.ST_segment=[S_isolation(1:a);T_isolation_1(1:a)];
% end
%%%%%%%%%%%%%%%%%QRS Complex interval Align%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if(ECG_Struct.R_locs(1,1)<ECG_Struct.QRS_Complex_interval(1,1))
threshold1=0; %sa冒a kayd媒rma oran媒
threshold2=0; %sola kayd媒rma oran媒
for i=1:length(ECG_Struct.QRS_Complex_interval)-1
threshold1=threshold1+floor(ECG_Struct.R_locs(i+1)-ECG_Struct.QRS_Complex_interval(1,i));
threshold2=threshold2+floor(ECG_Struct.QRS_Complex_interval(2,i)-ECG_Struct.R_locs(i+1));
end
threshold1=floor(threshold1/length(ECG_Struct.QRS_Complex_interval));
threshold2=floor(threshold2/length(ECG_Struct.QRS_Complex_interval));
for i=1:length(ECG_Struct.QRS_Complex_interval)
ECG_Struct.QRS_Complex_interval_align(1,i)=ECG_Struct.R_locs(i+1)-threshold1;
ECG_Struct.QRS_Complex_interval_align(2,i)=ECG_Struct.R_locs(i+1)+threshold2;
end
else
for i=1:length(ECG_Struct.QT_interval)
threshold1=threshold1+floor(ECG_Struct.R_locs(i)-ECG_Struct.QRS_Complex_interval(1,i));
threshold2=threshold2+floor(ECG_Struct.QRS_Complex_interval(2,i)-ECG_Struct.R_locs(i));
end
threshold1=floor(threshold1/length(ECG_Struct.QRS_Complex_interval));
threshold2=floor(threshold2/length(ECG_Struct.QRS_Complex_interval));
for i=1:length(ECG_Struct.QRS_Complex_interval)
ECG_Struct.QRS_Complex_interval_align(1,i)=ECG_Struct.R_locs(i)-threshold1;
ECG_Struct.QRS_Complex_interval_align(2,i)=ECG_Struct.R_locs(i)+threshold2;
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%P_wave_interval align%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
threshold1=0;
threshold2=0;
for i=1:length(ECG_Struct.P_wave_interval)
threshold1=threshold1+floor(ECG_Struct.P_locs(i)-ECG_Struct.P_wave_interval(1,i));
threshold2=threshold2+floor(ECG_Struct.P_wave_interval(2,i)-ECG_Struct.P_locs(i));
end
threshold1=floor(threshold1/length(ECG_Struct.P_wave_interval));
threshold2=floor(threshold2/length(ECG_Struct.P_wave_interval));
for i=1:length(ECG_Struct.P_wave_interval)
ECG_Struct.P_wave_interval_align(1,i)=ECG_Struct.P_locs(i)-threshold1;
ECG_Struct.P_wave_interval_align(2,i)=ECG_Struct.P_locs(i)+threshold2;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%T wave interval align%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
threshold1=0;
threshold2=0;
for i=1:length(ECG_Struct.T_wave_interval)
threshold1=threshold1+floor(ECG_Struct.T_locs(i)-ECG_Struct.T_wave_interval(1,i));
threshold2=threshold2+floor(ECG_Struct.T_wave_interval(2,i)-ECG_Struct.T_locs(i));
end
threshold1=floor(threshold1/length(ECG_Struct.T_wave_interval));
threshold2=floor(threshold2/length(ECG_Struct.T_wave_interval));
for i=1:length(ECG_Struct.T_wave_interval)
ECG_Struct.T_wave_interval_align(1,i)=ECG_Struct.T_locs(i)-threshold1;
ECG_Struct.T_wave_interval_align(2,i)=ECG_Struct.T_locs(i)+threshold2;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%QT_interval align%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if(ECG_Struct.R_locs(1,1)<ECG_Struct.QT_interval(1,1))
threshold1=0;
threshold2=0;
for i=1:length(ECG_Struct.QT_interval)-1
threshold1=threshold1+floor(ECG_Struct.R_locs(i+1)-ECG_Struct.QT_interval(1,i));
threshold2=threshold2+floor(ECG_Struct.QT_interval(2,i)-ECG_Struct.R_locs(i+1));
end
threshold1=floor(threshold1/length(ECG_Struct.QT_interval));
threshold2=floor(threshold2/length(ECG_Struct.QT_interval));
for i=1:length(ECG_Struct.QT_interval)
ECG_Struct.QT_interval_align(1,i)=ECG_Struct.R_locs(i+1)-threshold1;
ECG_Struct.QT_interval_align(2,i)=ECG_Struct.R_locs(i+1)+threshold2;
end
else
for i=1:length(ECG_Struct.QT_interval)
threshold1=threshold1+floor(ECG_Struct.R_locs(i)-ECG_Struct.QT_interval(1,i));
threshold2=threshold2+floor(ECG_Struct.QT_interval(2,i)-ECG_Struct.R_locs(i));
end
threshold1=floor(threshold1/length(ECG_Struct.QT_interval));
threshold2=floor(threshold2/length(ECG_Struct.QT_interval));
for i=1:length(ECG_Struct.QT_interval)
ECG_Struct.QT_interval_align(1,i)=ECG_Struct.R_locs(i)-threshold1;
ECG_Struct.QT_interval_align(2,i)=ECG_Struct.R_locs(i)+threshold2;
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%PR_interval align%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
threshold1=0;
threshold2=0;
for i=1:length(ECG_Struct.PR_interval)
threshold1=threshold1+floor(ECG_Struct.P_locs(i)-ECG_Struct.PR_interval(1,i));
threshold2=threshold2+floor(ECG_Struct.PR_interval(2,i)-ECG_Struct.P_locs(i));
end
threshold1=floor(threshold1/length(ECG_Struct.PR_interval));
threshold2=floor(threshold2/length(ECG_Struct.PR_interval));
for i=1:length(ECG_Struct.PR_interval)
ECG_Struct.PR_interval_align(1,i)=ECG_Struct.P_locs(i)-threshold1;
ECG_Struct.PR_interval_align(2,i)=ECG_Struct.P_locs(i)+threshold2;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%% QRS Complex Fixed Interval %%%%%%%%%%%%%%%%%%%
threshold1=floor(Fs/8); %left side of R peaks (125, when Fs=1000)
threshold2=floor(Fs/6.5); %right side of R peaks (153, when Fs=1000)
if(ECG_Struct.R_locs(1,1)<ECG_Struct.QRS_Complex_interval(1,1))
for i=1:length(ECG_Struct.QRS_Complex_interval)
ECG_Struct.QRS_Complex_interval_fixed(1,i)=ECG_Struct.R_locs(i+1)-threshold1;
ECG_Struct.QRS_Complex_interval_fixed(2,i)=ECG_Struct.R_locs(i+1)+threshold2;
end
else
for i=1:length(ECG_Struct.QRS_Complex_interval)
ECG_Struct.QRS_Complex_interval_fixed(1,i)=ECG_Struct.R_locs(i)-threshold1;
ECG_Struct.QRS_Complex_interval_fixed(2,i)=ECG_Struct.R_locs(i)+threshold2;
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%% P wave interval fixed %%%%%%%%%%%%%%%%
threshold1=floor(Fs/16); %left side of P peaks (62, when Fs=1000)
threshold2=floor(Fs/28); %right side of P peaks (35 when Fs=1000)
for i=1:length(ECG_Struct.P_wave_interval)
ECG_Struct.P_wave_interval_fixed(1,i)=ECG_Struct.P_locs(i)-threshold1;
ECG_Struct.P_wave_interval_fixed(2,i)=ECG_Struct.P_locs(i)+threshold2;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%% T wave interval fixed %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
threshold1=floor(Fs/8.3); %left side of T peaks (120, when Fs=1000)
threshold2=floor(Fs/11); %left side of T peaks (90, when Fs=1000)
for i=1:length(ECG_Struct.T_wave_interval)
ECG_Struct.T_wave_interval_fixed(1,i)=ECG_Struct.T_locs(i)-threshold1;
ECG_Struct.T_wave_interval_fixed(2,i)=ECG_Struct.T_locs(i)+threshold2;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
threshold1=floor(Fs/16);
threshold2=floor(Fs/11);
for i=1:length(ECG_Struct.P_locs)
ECG_Struct.P_QRS_T_Complex_interval_fixed(1,i)=ECG_Struct.P_locs(i)-threshold1;
ECG_Struct.P_QRS_T_Complex_interval_fixed(2,i)=ECG_Struct.T_locs(i)+threshold2;
end
%%%%%%%%%%%%P-QRS-T interval fixed %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
threshold1=floor(Fs/25)+floor(Fs/8);
threshold2=floor(Fs/6)+floor(Fs/6.5);
if(ECG_Struct.R_locs(1,1)<ECG_Struct.QRS_Complex_interval(1,1))
for i=1:length(ECG_Struct.QRS_Complex_interval)
ECG_Struct.P_QRS_T_interval_fixed(1,i)=ECG_Struct.R_locs(i+1)-threshold1;
ECG_Struct.P_QRS_T_interval_fixed(2,i)=ECG_Struct.R_locs(i+1)+threshold2;
end
else
for i=1:length(ECG_Struct.QRS_Complex_interval)
ECG_Struct.P_QRS_T_interval_fixed(1,i)=ECG_Struct.R_locs(i)-threshold1;
ECG_Struct.P_QRS_T_interval_fixed(2,i)=ECG_Struct.R_locs(i)+threshold2;
end
end
％完整代码：mbd.pub/o/bread/mbd-ZJuTl5tt
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
end
分割结果示例如下：
工学博士，担任《Mechanical System and Signal Processing》《中国电机工程学报》《控制与决策》等期刊审稿专家，擅长领域：现代信号处理，机器学习，深度学习，数字孪生，时间序列分析，设备缺陷检测、设备异常检测、设备智能故障诊断与健康管理PHM等。