how to contaminate ecg signal with noise
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I am working on the project namely "FALSE ALARM REDUCTION IN ATRIAL FIBRILLATION DETCTION USING DEEP BELIEF NETWORKS".
In this i need to download two databases, namely 07910m.mat{MIT_BIH ATRIAL FIBRILLATION DATABASE} which is attached here,and also the 'em' recording {MIT_BIH NOISE STRESS TEST DATABASE} is attached.
The afib database has Fs=250Hz and 10h in length,and 'em' recording is 30 min and has Fs=360Hz
now i need to make the 'em' recording 10h in length
in the paper its told that i can be done using auto regressive model,iam not knowing how to do it
can anyone suggest me the coding for this
11 Commenti
Daniel M
il 20 Nov 2019
Well you know there will be a loop involved. Can you show me the code you currently have? I can help you get there.
Risposte (2)
Daniel M
il 20 Nov 2019
Modificato: Daniel M
il 21 Nov 2019
I obviously cannot run this code because I don't have the data nor any of the associated functions. By the way, you are getting an error because you are trying to access z at negative index locations.
Here is an example of how you would plot the equation. Keep in mind the assumptions I've made, which I've tried to comment.
clearvars
clc
sz = [1 1000];
e = randn(sz); % epsilon
X = nan(sz); % preallocate
X(1) = 0; % set first value. Don't know what this should be.
c = 1; % a constant, don't know what this should be
p = 5; % set the order of the model. Don't know what this should be.
% note that p cannot be greater than the iterating variable of the loop
% otherwise, it would try to access negative index locations
% So, either initialize your loop index at a value greater than 2 (and have the starting values of X)
% or do it this way, using increasing values of p, up to n-1
phi = rand(1,p); % your values of phi
for n = 2:sz(2)
ii = 1:min(p,n-1); % see the note above
sigma = dot(phi(ii), X(n-ii)); % sum of the products of the elements
X(n) = c + sigma + e(n);
end
7 Commenti
Daniel M
il 23 Nov 2019
Did you not see my response that phi must be << than 1? Did you even try it? It works.
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