todolist_10-17-2018_toJim.txt

1. please finish function of prepare_data_forTesting() in  eeg_preprocessing.py
	def prepare_data_forTesting(X, y, return_mesh=True):
		    #Jim will finish it
	    return X_preprocessed, y_oneHot

2. please finish functions printPred() and loadData() in eeg_testSimulation64.py 
	i.e., every 10 timepoint, we will predict a 64 channel EEG data and save the prediction result in a text file named brainCoder64.txt
	
	Suppose you will have a realtime eeg data allChannel, shape(allChannel)=[10,14], 14 means 14 channels, 10 means 10 time points (i.e., every 78.125 ms given sample rate=128HZ). So, when you write a test script, please use allChannel as input.  
	The 14 channles are organized below
        electrodes = ['AF3',
                  'F7',
                  'F3',
                  'FC5',
                  'T7', 
                  'P7',
                  'O1',
                  'O2',
                  'P8',
                  'T8',
                  'FC6',
                  'F4',
                  'F8',
                  'AF4'] 

3. please finish eeg_testLive16.py, which will adapt from the eeg_testSimulation64.py code to my wireless EEG equipment, i.e., from 64 channel to 14 channels (see the emotive_electrodes.png)
	and use a real-time EEG data instead of loading the data from a .edf file
 

note: in eeg_impport.py
timeFromCue = 0.5 #exclude 0.5 seconds data right after cue

 
see https://www.dropbox.com/home/EEG/code/python/cluster/test