how to find local maxima and minima of a noisy ECG
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Krish P
le 5 Jan 2013
Commenté : Image Analyst
le 6 Déc 2014
Is there an easy way to find all local minima of an noisy ecg signal(ecg+baseline wander)with out using function? After that all local maxima are to be connected by a cubic spline curve as the upper envelope e1(t), similarly all local minima by a spline curve as the lower envelope e2(t).Next step is to find the mean of the two envelope ie
m1(t)= [e1(t)+e2(t)]/2.
PROGRAM UP TO GENERATION OF ECG NOISY SIGNAL
n=512;
fs=n/.83;
tp=.83*10;
x1=ecg(512);
t=0:1/fs:tp-1/fs;
z=repmat(x1,1,10);
subplot(231);
plot(t,z);
title('ecg signal');
xlabel('time');
ylabel('amplitude');
t2=0:1/512:10-(1/512);
s1=.1*cos(2*pi*.5*t2);
s2=.1*cos(2*pi*.4*t2);
baseline=s1+s2;
subplot(232);
plot(t2,baseline); %BASELINE WANDER
xlabel('time');
ylabel('amplitude');
y=z+baseline; % NOISY ECG
disp(y);
subplot(233);
plot(t,y); % NOISY ECG
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Walter Roberson
le 5 Jan 2013
Modifié(e) : Walter Roberson
le 5 Jan 2013
local_mins = find( signal(1:end-2) > signal(2:end-1) & signal(2:end-1) < signal(3:end) );
local_maxs = find( signal(1:end-2) < signal(2:end-1) & signal(2:end-1) > signal(3:end) );
e1 = spline( local_mins, signal(local_mins), 1:length(signal) );
e2 = spline( local_maxs, signal(local_maxs), 1:length(signal) );
m1 = (e1 + e2) / 2;
3 commentaires
saleema
le 6 Déc 2014
sir, i want a matlab codes for finding local maxima and local minima and after their envelop by using spline interpolation
Image Analyst
le 6 Déc 2014
Post a new question, and say if you have the Image Processing Toolbox (so you can use imdilate and imerode to get the local max and min).
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