Multiclass classification with random Forrest classifier and SVM classifier.

I want to classify EEG signals with SVM classifier and the random forest classifier. Since there are 7 classes of EEG signals, how should I train the SVM classifier and the random forest classifier.I don't want to use an app. I want them to learn only by code, without using apps.

Answer 1

[Sivsankar]

Hi,

You can leverage the following File exchange which helps you to understand different types of EEG signals and how to analyse and classify them:

https://www.mathworks.com/matlabcentral/fileexchange/55112-eeg-analysis-and-classification

I believe that you want to use SVM classifier and random forest classifier to train and classify the 7 different EEG signals. Look at the following file exchange to get an understanding on how to employ SVM classifier. You can use it as a reference for your EEG classification:

https://www.mathworks.com/matlabcentral/fileexchange/55098-plant-leaf-disease-detection-and-classification-using-multiclass-svm-classifier

To classify using the random forest classifier, leverage the following MathWorks documentation:

https://www.mathworks.com/help/releases/R2021a/stats/treebagger.html

Refer the following MathWorks documentation on how to classify EEG using CNN:

https://www.mathworks.com/help/deeplearning/ug/time-frequency-convolutional-network-for-eeg-data-classification.html

Thanks!