def run(self):
events = self.get_passed_object('FR1_events')
sel_events = events[(events.type == 'WORD') & (events.recalled == 1)]
sel_events = sel_events[0:20]
from ptsa.data.readers.TimeSeriesEEGReader import TimeSeriesEEGReader
time_series_reader = TimeSeriesEEGReader(sel_events)
time_series_reader.start_time = 0.0
time_series_reader.end_time = 1.6
time_series_reader.buffer_time = 1.0
time_series_reader.keep_buffer = True
time_series_reader.read(channels=['002', '003'])
eegs = time_series_reader.get_output()
print eegs
def run(self):
events = self.get_passed_object('FR1_events')
sel_events = events[(events.type == 'WORD') & (events.recalled == 1)]
sel_events = sel_events[0:20]
from ptsa.data.readers.TimeSeriesEEGReader import TimeSeriesEEGReader
time_series_reader = TimeSeriesEEGReader(sel_events)
time_series_reader.start_time = 0.0
time_series_reader.end_time = 1.6
time_series_reader.buffer_time = 1.0
time_series_reader.keep_buffer = True
time_series_reader.read(channels=['002','003'])
eegs = time_series_reader.get_output()
print eegs
def run(self):
# PTSA EVENT READER
# e_path = join(self.pipeline.mount_point, 'data/events', self.pipeline.task,self.pipeline.subject+'_events.mat')
e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'
# e_path = '/Users/m/data/events/RAM_FR1/R1056M_events.mat'
e_reader = PTSAEventReader(event_file=e_path, eliminate_events_with_no_eeg=True)
e_reader.read()
events = e_reader.get_output()
events = events[events.type == 'WORD']
events = events[0:30]
ev_order = np.argsort(events, order=('session','list','mstime'))
events = events[ev_order]
events = Events(events) # necessary workaround for new numpy
print 'events=',events
eegs= events.get_data(channels=['002','003'], start_time=0.0, end_time=1.6,
buffer_time=1.0, eoffset='eegoffset', keep_buffer=False, eoffset_in_time=False,verbose=True)
print eegs
# BASE READER
base_e_reader = BaseEventReader(event_file=e_path, eliminate_events_with_no_eeg=True, use_ptsa_events_class=False)
base_e_reader.read()
base_events = base_e_reader.get_output()
base_events = base_events[base_events.type == 'WORD']
base_ev_order = np.argsort(base_events, order=('session','list','mstime'))
base_events = base_events[base_ev_order]
base_events = base_events[0:30]
print 'base_events=',base_events
from ptsa.data.readers.TimeSeriesEEGReader import TimeSeriesEEGReader
time_series_reader = TimeSeriesEEGReader(base_events)
time_series_reader.start_time = 0.0
time_series_reader.end_time = 1.6
time_series_reader.buffer_time = 1.0
time_series_reader.keep_buffer = False
time_series_reader.read(channels=['002','003'])
base_eegs = time_series_reader.get_output()
print
def run(self):
# PTSA EVENT READER
# e_path = join(self.pipeline.mount_point, 'data/events', self.pipeline.task,self.pipeline.subject+'_events.mat')
e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'
# e_path = '/Users/m/data/events/RAM_FR1/R1056M_events.mat'
e_reader = PTSAEventReader(event_file=e_path,
eliminate_events_with_no_eeg=True)
e_reader.read()
events = e_reader.get_output()
events = events[events.type == 'WORD']
events = events[0:30]
ev_order = np.argsort(events, order=('session', 'list', 'mstime'))
events = events[ev_order]
events = Events(events) # necessary workaround for new numpy
print 'events=', events
eegs = events.get_data(channels=['002', '003'],
start_time=0.0,
end_time=1.6,
buffer_time=1.0,
eoffset='eegoffset',
keep_buffer=False,
eoffset_in_time=False,
verbose=True)
print eegs
# BASE READER
base_e_reader = BaseEventReader(event_file=e_path,
eliminate_events_with_no_eeg=True,
use_ptsa_events_class=False)
base_e_reader.read()
base_events = base_e_reader.get_output()
base_events = base_events[base_events.type == 'WORD']
base_ev_order = np.argsort(base_events,
order=('session', 'list', 'mstime'))
base_events = base_events[base_ev_order]
base_events = base_events[0:30]
print 'base_events=', base_events
from ptsa.data.readers.TimeSeriesEEGReader import TimeSeriesEEGReader
time_series_reader = TimeSeriesEEGReader(base_events)
time_series_reader.start_time = 0.0
time_series_reader.end_time = 1.6
time_series_reader.buffer_time = 1.0
time_series_reader.keep_buffer = False
time_series_reader.read(channels=['002', '003'])
base_eegs = time_series_reader.get_output()
print
