How can i plot a multiple EEG signal channels ?

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hello sirs, how can we plot a picture has multiple EEG signal channels like the picture above. My data have sampling frequency fs= 500, recordDuration= 1s, 21 channels and 21 record numbers. Can you give me an example code ? Thanks !

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Voss
Voss il 27 Feb 2024
Modificato: Voss il 27 Feb 2024
Example:
fs = 500;
tmax = 1;
nch = 21;
nt = fs*tmax;
t = (0:nt-1)/fs;
data = randn(nt,nch);
figure('Position',[1 1 500 800])
h = stackedplot(t,data,'k','DisplayLabels',"EEG"+(1:nch));
set(h.AxesProperties,'YLimits',[-3 3])
  3 Commenti
Voss
Voss il 27 Feb 2024
You're welcome! Any questions, let me know.
If this answer helped you, consider voting for it and/or "Accept"ing it. Thanks!
DGM
DGM il 5 Mar 2024
Posted as comment-as-flag by Nguyen Ngoc Nghiem:
this answer was a great help for this problem

Accedi per commentare.

Più risposte (1)

Adrián László Szemenyei
Modificato: Adrián László Szemenyei il 27 Feb 2024
If you dont want to implement it, just use EEGLAB (which can read in numerous different data types, if I remember correctly, you can also use it to change your data type to .mat).
If you want to implement it with the slider and whatnot, check out MATLAB GUI and its functions (you will probably need uifigure, uipanel, uiaxes, uislider).
To change the names on the y-axis, use yticks and yticklabels function. (Note that if your data is really large and you read it all in, the GUI might be slow and/or crash, EDIT: but this is not the case for you)
Alternatively stackedplot, you can use subtightplot. Or if you dont mind if two channels possibly overlap, than add different values to the different channels.
EDIT: I realized that your data is only one second long, so you probably dont need GUI with its slider, but the rest of my answer is relevant.
  3 Commenti
Nguyen Ngoc Nghiem
Nguyen Ngoc Nghiem il 27 Feb 2024
Thanks, sir. I encountered a lot of difficulties when dealing with 3D datasets with .edf files. :((
DGM
DGM il 5 Mar 2024
Posted as comment-as-flag by Nguyen Ngoc Nghiem:
this answer was a great help for this problem

Accedi per commentare.

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