How to add white gaussian noise to an EEG data timetable?

I have two datasets (.edf) of EEG recordings, one for healthy people, one for depressive people.

Each of the recording has 20 channels.

I opened them with edfread() function as a timetable. How can I add white gaussian noise to thiese timetables?

Answer 1

[Jon]

I am not familiar with .edf files however I think the following example should illustrate the approach and you can adapt for your particular situation

% Make an example timetable, use MATLAB doc example
MeasurementTime = datetime({'2015-12-18 08:03:05';'2015-12-18 10:03:17';'2015-12-18 12:03:13'});
Temp = [37.3;39.1;42.3];
Pressure = [30.1;30.03;29.9];
WindSpeed = [13.4;6.5;7.3];
TT = timetable(MeasurementTime,Temp,Pressure,WindSpeed);

% Add a new column with windspeed corrupted with white noise
sigma = 0.5; % standard deviation of noise
TT.noisyWindSpeed = TT.WindSpeed + randn(size(TT.WindSpeed))*sigma; % scale by standard deviation