simulate eeg data in matlab

To simulate EEG data in MATLAB, we can use the Fieldtrip toolbox which provides many functions for EEG data analysis and simulation. Here are the steps to simulate EEG data:

1. Install the Fieldtrip toolbox in MATLAB.

2. Define the parameters for the EEG simulation such as the number of channels, sampling rate, and duration of the simulation.

main.m
% Define parameters for simulation
nchannels = 10; % number of channels
fs = 1000; % sampling rate in Hz
duration = 10; % duration in seconds
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3. Create a template for the source signal by specifying the frequency and amplitude of the signal. Here, we create a signal with a frequency of 10 Hz and an amplitude of 1 microvolt.

main.m
% Create template signal
t = 0:1/fs:duration; % time vector
template = sin(2*pi*10*t); % 10 Hz sine wave
template = 1e-6 * template; % convert to microvolts
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4. Create a spatial filter to simulate the spatial distribution of the EEG signal. Here, we use a random filter generated by the MATLAB randn function.

main.m
% Create spatial filter
filter = randn(nchannels);
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5. Generate the simulated EEG data by multiplying the template signal with the spatial filter at each time point.

main.m
% Generate EEG data
eegdata = zeros(nchannels, length(t));
for i = 1:length(t)
    eegdata(:,i) = filter * template(i);
end
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6. Visualize the simulated EEG data using MATLAB's plot function.

main.m
% Plot EEG data
figure;
tplot = t(1:floor(length(t)/10));
eegplot = eegdata(:,1:floor(length(t)/10));
plot(tplot, eegplot);
xlabel('Time (s)');
ylabel('Amplitude (\muV)');
title('Simulated EEG Data');
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This is just a basic example of how to simulate EEG data in MATLAB. To explore more advanced simulations, such as adding noise or simulating different types of brain activity, refer to the Fieldtrip toolbox documentation.