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;

channel_1= eeg1(:,1);

ch_1=channel_1(1:2000);

figure;

subplot(2,1,1);

plot(ch_1);

xlabel('Time (s)');

ylabel('Amplitude');

legend('ch1');

title("Plot channel "+1+ " for Structure 1X1");

hold on;

grid on;

eeg_signal = eeg1(1:2000); % first 2000 samples

subplot(2,1,2);

plot(eeg_signal,'black');

hold on;

grid on;

legend('EEG Signal');

title('Raw EEG Signal');

%%

% Apply ICA

numComponents = 5; % Number of independent components to extract

[icasig, A, W] =fastica (eeg_signal,'numOfIC', numComponents);

% Plot original EEG signals and ICA components

figure;

% Plot original EEG signals

subplot(numComponents + 1, 1, 1);

plot(eeg_signal);

title('Original EEG Signals');

xlim([1, size(eeg_signal, 2)]);

% Plot ICA components

for i = 1:numComponents

subplot(numComponents + 1, 1, i + 1);

plot(icasig(1 , : ));

title(['ICA Component ', num2str(i)]);

xlim([1, size(icasig, 2)]);

end

xlabel('Time');

ylabel('Amplitude');