Sep-29-2018, 04:08 PM
hi i had this cod but i dont know how to input my file in it please edit code for me
exmaple my input file in this adress c:\destktop\eeg\eeg1
import argparse
import mne
import numpy as np
from scipy import io
if __name__ == '__main__':
parser = argparse.ArgumentParser(prog='fif2mat',
description='converts raw EEG data in FIF format into MAT format;'
'events are stored in an extra file in EEGLab format.')
parser.add_argument('fif_filepath',
help='path to the input FIF file')
parser.add_argument('eeg_filepath',
help='path to the output MAT file for the raw EEG data')
parser.add_argument('events_filepath',
help='path to the output MAT file for the events')
args = parser.parse_args()
print 'loading raw data from ', args.fif_filepath
raw = mne.io.Raw(args.fif_filepath, preload=True, verbose=True)
data, time = raw[:,:]
print 'saving raw data to', args.eeg_filepath
io.savemat(args.eeg_filepath, dict(data=data), oned_as='row')
events = mne.find_events(raw, stim_channel='STI 014', shortest_event=0)
# EEGLab event structure: type, latency, urevent
# Event latencies are stored in units of data sample points relative to (0)
# the beginning of the continuous data matrix (EEG.data).
eeglab_events = [[event[2], event[0], 0] for event in events]
eeglab_events = np.asarray(eeglab_events, dtype=int)
print 'saving events to', args.events_filepath
io.savemat(args.events_filepath, dict(data=eeglab_events), oned_as='row')
exmaple my input file in this adress c:\destktop\eeg\eeg1
import argparse
import mne
import numpy as np
from scipy import io
if __name__ == '__main__':
parser = argparse.ArgumentParser(prog='fif2mat',
description='converts raw EEG data in FIF format into MAT format;'
'events are stored in an extra file in EEGLab format.')
parser.add_argument('fif_filepath',
help='path to the input FIF file')
parser.add_argument('eeg_filepath',
help='path to the output MAT file for the raw EEG data')
parser.add_argument('events_filepath',
help='path to the output MAT file for the events')
args = parser.parse_args()
print 'loading raw data from ', args.fif_filepath
raw = mne.io.Raw(args.fif_filepath, preload=True, verbose=True)
data, time = raw[:,:]
print 'saving raw data to', args.eeg_filepath
io.savemat(args.eeg_filepath, dict(data=data), oned_as='row')
events = mne.find_events(raw, stim_channel='STI 014', shortest_event=0)
# EEGLab event structure: type, latency, urevent
# Event latencies are stored in units of data sample points relative to (0)
# the beginning of the continuous data matrix (EEG.data).
eeglab_events = [[event[2], event[0], 0] for event in events]
eeglab_events = np.asarray(eeglab_events, dtype=int)
print 'saving events to', args.events_filepath
io.savemat(args.events_filepath, dict(data=eeglab_events), oned_as='row')