dataProcessing.py 文件源码

def __init__(self, Brain_image_filename,Electrode_ElectrodeData_filename,Electrode_mat_filename,ElectrodeSignals,ElectrodeSignalDataName):
            self.im = Image.open(Brain_image_filename)
            self.syllableUnit = 0 
            self.Timestep =0

            self.ElectrodeSignals = scipy.io.loadmat(ElectrodeSignals)
            self.mat = scipy.io.loadmat(Electrode_mat_filename)
            self.connectivityData = scipy.io.loadmat(Electrode_ElectrodeData_filename)

            # Changes for artificial data 
            Data=scipy.io.loadmat(Electrode_ElectrodeData_filename)

            temp = Data['electrode']
            self.ElectrodeIds = temp[0]
            self.ElectodeData = Data['C']

            # Changes for RealData
            # self.ElectrodeIds = [i for i in range(len(self.ElectrodeSignals[ElectrodeSignalDataName][0]))]
            # self.ElectodeData = self.connectivityData['conData']

            self.syllable, self.timestep, self.N , self.N  = np.shape(self.ElectodeData)
            self.timestep = self.timestep - 1

            """ The variables names for the new connecivity matrices, 
        C == correlation matrix 
            syllable == 6 syllables
            time = mapping between electrodes
            electrode == 58 electrodes  
            """