Classifying EEG Signal as normal or abnormal using a Neural Network

I have a set 5 normal EEGs(12 channels 4097x1) and 5 epileptic EEGs (12 Channels 4097x1). I will calculate the PSD,wavelet,t-test,fft,.. Then i will use these features to classify a new signal as normal or epileptic. What will be my Input Data and Target Data? How do i integrate these features into the classifications mechanism? Sorry if I am asking some basic questions.

[FirefoxMetzger]

You are answering yourself. You want to use the PSD, wavelet, t-test, ... as features, those are your inputs. You want to classify a new signal as normal or epileptic, those are your outputs. Now you can rephrase that and say: Classify as epileptic or non-epileptic. In that case you just have a single output.

[Janani Harshu]

Can i get the code for the above EEG classification? I'm currently doing my mini project based on this and matlab is less familiar to me.

[Arjun]

Gayu has the same issue

Gayu Potheri Eswari

SRM University