How to build a CNN model to classify motor imagery tasks from EEG signals?
6 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
I have processed the raw eeg signals using DWT, and have extracted the detailed coefficients at level 3,4 and 5, and naming them as D3,D4,D5/ (sampling frequency at 200Hz).
Now, I would like to pass D3,D4,D5 as input to the CNN model to classify the signals. How can i build a CNN model for this problem?
0 Kommentare
Antworten (1)
Srivardhan Gadila
am 20 Dez. 2020
You can refer to Classify ECG Signals Using Long Short-Term Memory Networks, Modulation Classification with Deep Learning & Topics in the Signal Processing Using Deep Learning documentation page.
0 Kommentare
Siehe auch
Kategorien
Mehr zu EEG/MEG/ECoG finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!