how to improve detrending?

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Code:
d=load('CU_Ventricular_Tacharrhythmia\cu01m.mat');
noisyECG_withTrend=d.val(1,:);
subplot(2,1,1), plot(noisyECG_withTrend), grid on,
nnoisyECG_withTrend = noisyECG_withTrend';
t = 1:length(noisyECG_withTrend);
[p,s,mu] = polyfit((1:numel(noisyECG_withTrend))',nnoisyECG_withTrend,6)
f_y = polyval(p,(1:numel(noisyECG_withTrend))',[],mu);
ECG_data = nnoisyECG_withTrend - f_y; % Detrend data
subplot(2,1,2), plot(t,ECG_data); grid on
%ax = axis;
%axis([ax(1:2) -1.2 1.2])
title('Detrended ECG Signal')
xlabel('Samples'); ylabel('Voltage(mV)')
legend('Detrended ECG Signal')
  1 个评论
Explorer
Explorer 2016-2-19
编辑:Explorer 2016-2-19
Basically, I am trying to remove baseline error so that I can extract features like R to R delay and other intervals.

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采纳的回答

Star Strider
Star Strider 2016-2-19
See if this filter does what you want (assuming Fs=256):
Fs = 256;
Fn = Fs/2;
Wp = [1 90]/Fn;
Ws = Wp.*[0.5 1.25];
Rp = 1;
Rs = 20;
[n,Wn] = buttord(Wp,Ws,Rp,Rs);
[b,a] = butter(n,Wn);
[sos,g] = tf2sos(b,a);
figure(1)
freqz(sos, 2048, Fs);
  5 个评论
Star Strider
Star Strider 2018-10-16
@Evenor —
My code uses functions from the Signal Processing Toolbox. You need to have it installed in order to run my code. You should be able to run it in R2014a.
Sibi Ramachandran
Sibi Ramachandran 2019-2-13
@Star Strider Good morning sir I saw your comments and it helped me to understand the use of these filters. I recently posted a question and I was wondering if you would be able to help me also? Thank you so much!

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