def read_eeg_file(left_data_file,
right_data_file,
time_length,
time_window,
epoch_size=None,
training=True):
return EEG(
*(__read_eeg_file(left_data_file, right_data_file, time_length,
time_window, epoch_size)), training)
def read_eeg_files(path_files, time_length=None, time_window=None, epoch_size=None, training=True):
left_data = None
right_data = None
for left_data_file, right_data_file in path_files:
next_data = __read_eeg_file(left_data_file, right_data_file, time_length, time_window, epoch_size)
if left_data is None:
left_data, right_data = next_data
else:
next_left_data, next_right_data = next_data
left_data = np.concatenate((left_data, next_left_data))
right_data = np.concatenate((right_data, next_right_data))
return EEG(left_data, right_data, training)
def read_eeg_file(left_data_file, right_data_file, time_length=None, time_window=None,
epoch_size=None, channels_indexes=None, training=True):
return EEG(*(__read_eeg_file(left_data_file, right_data_file, time_length,
time_window, epoch_size, channels_indexes)), training)