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Dot and Brace indexing is not supported for variables of this type in the Lifting wavelet transform artifact removal method .How can I solve this problem ?
Ok.Thanks for your response.
circa 2 anni fa | 0
Domanda
Dot and Brace indexing is not supported for variables of this type in the Lifting wavelet transform artifact removal method .How can I solve this problem ?
% Plot the approximation coefficients at each level for i = 1:level subplot(level+1, 1, i+1); plot(ca{i}); title...
circa 2 anni fa | 1 risposta | 0
1
rispostaDomanda
How can I solve this problem in the CSP feature extraction algorithm for EEG signal?
Dataset description: Code: % Calculate the covariance matrices for each class cov_matrices = cell(1, 2); disp(unique(label...
circa 2 anni fa | 1 risposta | 0
1
rispostaDomanda
How can I plot multiple signals separately as like mentioned figure for avoiding this three signals overlapping?
Program code: %plot all signals in a single plot. figure; subplot(211) plot(d2,'k','LineWidth',.5); %Input Signal title...
circa 2 anni fa | 1 risposta | 0
1
rispostaDomanda
How can I plot multiple signals in a single plot? Please give me suggestions which functions have used for this.
circa 2 anni fa | 2 risposte | 0
2
risposteDomanda
Why dot indexing is not supported for variables of this type using EMD method in MATLAB R2019a version ? What can I do?
code: [IMF, residual, info] = emd(eeg_signal); imf_count = max(info.NumIMF); Dot indexing is not supported for variables of t...
circa 2 anni fa | 1 risposta | 0
1
rispostaDomanda
How to fix this problem in the EMD method for artifact removing from contaminated EEG signal?
[IMF, residual, info] = emd(eeg_signal); imf_count = max(info.NumIMF); ///In here, problem have arisen. figure; for i=1:imf_c...
circa 2 anni fa | 0 risposte | 0
0
risposteDomanda
Why wICA method use multi channel EEG signal over single channel EEG signal ? Which channel is subtracted from {data1 = [d1;d2;d3;d4;d5;d6];} and why??
eeg1 = data{1,1}.X; eeg2 = eeg1.'; d1 = eeg2(1,1:10000); d2 = eeg2(2,1:10000); d3 = eeg2(3,1:10000); d4 = eeg2(4,1:10000)...
oltre 2 anni fa | 0 risposte | 0
0
risposteDomanda
Raw EEG signal is decomposed by fastICA method but there have same independent components and I can't understand why they are same. Have there any suggestions for solve this?
DataSet FastICA Code: %% clc; clear close all; load B02T.mat; fs=250; % t = 0.004:1/fs:1; eeg1 = data{1,1}.X; ...
oltre 2 anni fa | 0 risposte | 0
0
risposteDomanda
For removing artifact from raw EEG signal ,I have need to pca.m and rica.m file . How can I get this pca and rica function of MATLAB files?
%% PCA q=21; % PERFORM PCA [coeff,Data_PCA,latent,tsquared,explained,mu] = pca(Data, 'NumComponents', q); %this pca function ...
oltre 2 anni fa | 1 risposta | 0
1
rispostaDomanda
After applying EMD method for removing artifacts with the help of global thresholding the SNR and MSE value are calculated. Is it correct or not? Please check this and guide .
Here is my dataset. DataSet %% clc clear close all; load B02T.mat; fs=250; % t = 0.004:1/fs:1; eeg1 = data{1,1}....
oltre 2 anni fa | 0 risposte | 0
0
risposteDomanda
I apply SWT method to remove artifact from EEG signal. The level of decomposition,5 and the length of the signal,2000.How to apply 2^Level in this code? What can I do?
DataSet %% clc; clear close all; load B02T.mat; fs=250; % t = 0.004:1/fs:1; eeg1 = data{1,1}.X; channel_1= ee...
oltre 2 anni fa | 1 risposta | 0
1
rispostaDomanda
Why noise_signal does not plot correctly? There are the problems in the code to calculate SNR and MSE value .What can I do?
Here is my DATASET %% clc; clear close all; load B02T.mat; fs=250; % t = 0.004:1/fs:1; eeg1 = data{1,1}.X; chan...
oltre 2 anni fa | 1 risposta | 0
1
rispostaDomanda
Why SNR value is negative in my code ? Is the MSE value is correct?
DATASET %% clc; clear close all; load B02T.mat; fs=250; % t = 0.004:1/fs:1; eeg1 = data{1,1}.X; channel_1= eeg1...
oltre 2 anni fa | 1 risposta | 0
1
rispostaDomanda
Why emd function doesn't work in my code?
clc; clear; load s1.mat; load HEOG.mat; s = s1.train; y0 = datasample(s,1); y = y0(1:5000); g = heog_1; g = g(1:5000); ...
oltre 3 anni fa | 1 risposta | 0
