Good evening, I have a doubt on how to classify EEG signal. By using tool i got the results properly but now i need to do it in a code. Can anyone help me with any information how to use testing data in matlab for neural network.
It depends on what you are looking for. For instance, EEG signal classification for analyzing epileptiform activity is mostly done through artificial neural networks and logistic regression. Lots of these analysis are available in eeglab and neural networks toolboxes. For more info, visit the help pages on matlab website.
I think the most important thing is how to represent the EEG signal. We could analyze the signal in the time domain or in the frequency domain. Many feature-extraction methods are available. For example, differential entropy (DE), statistical characteristics, and PSD. Matlab is enough to implement the classifier (just type 'help nntool' in the command window). However, I think SVM or LSTM are more favorable.