Esempio n. 1
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def test_2_old():
    import time
    start = time.time()

    e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'

    from ptsa.data.readers import BaseEventReader

    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']

    # selecting only one session
    base_events = base_events[base_events.eegfile == base_events[0].eegfile]

    from ptsa.data.readers.TalReader import TalReader
    tal_path = '/Users/m/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat'
    tal_reader = TalReader(tal_filename=tal_path)
    monopolar_channels = tal_reader.get_monopolar_channels()
    bipolar_pairs = tal_reader.get_bipolar_pairs()

    print 'bipolar_pairs=', bipolar_pairs

    from ptsa.data.experimental.TimeSeriesEEGReader import TimeSeriesEEGReader

    time_series_reader = TimeSeriesEEGReader(events=base_events, start_time=0.0,
                                             end_time=1.6, buffer_time=1.0, keep_buffer=True)

    base_eegs = time_series_reader.read(channels=monopolar_channels)

    # base_eegs = base_eegs[:, 0:10, :]
    # bipolar_pairs = bipolar_pairs[0:10]


    wf = MorletWaveletFilter(time_series=base_eegs,
                             freqs=np.logspace(np.log10(3), np.log10(180), 2),
                             # freqs=np.array([3.]),
                             output='power',
                             # resamplerate=50.0
                             )

    pow_wavelet, phase_wavelet = wf.filter()

    print 'total time = ', time.time() - start

    res_start = time.time()

    # from ptsa.data.filters.ResampleFilter import ResampleFilter
    # rsf = ResampleFilter (resamplerate=50.0)
    # rsf.set_input(pow_wavelet)
    # pow_wavelet = rsf.filter()



    print 'resample_time=', time.time() - res_start
    return pow_wavelet
Esempio n. 2
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    def setUp(self):
        self.start_time = -0.5
        self.end_time = 1.6
        self.buffer_time = 0.5

        self.event_range = range(0, 30, 1)

        # here = osp.abspath(osp.dirname(__file__))
        here = get_rhino_root()
        self.e_path = osp.join(here, 'data', 'events', 'RAM_FR1', 'R1060M_events.mat')
        tal_path = osp.join(here, 'data', 'eeg', 'R1060M', 'tal', 'R1060M_talLocs_database_bipol.mat')

        tal_reader = TalReader(filename=tal_path)
        self.monopolar_channels = tal_reader.get_monopolar_channels()
        self.bipolar_pairs = tal_reader.get_bipolar_pairs()

        base_e_reader = BaseEventReader(filename=self.e_path, eliminate_events_with_no_eeg=True)
        base_events = base_e_reader.read()
        base_events = base_events[base_events.type == 'WORD']
        base_ev_order = np.argsort(base_events, order=('session', 'list', 'mstime'))
        self.base_events = base_events[base_ev_order]

        # retaining first session
        dataroot = self.base_events[0].eegfile
        self.base_events = self.base_events[self.base_events.eegfile == dataroot]
        self.base_events = self.base_events[self.event_range]

        eeg_reader = EEGReader(events=self.base_events, channels=self.monopolar_channels,
                               start_time=self.start_time, end_time=self.end_time, buffer_time=self.buffer_time)

        self.base_eegs = eeg_reader.read()

        session_reader = EEGReader(session_dataroot=dataroot, channels=self.monopolar_channels)
        self.session_eegs = session_reader.read()
Esempio n. 3
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    def setUp(self):
        root = get_rhino_root()
        self.e_path = osp.join(root, 'data', 'events', 'RAM_FR1',
                               'R1060M_events.mat')
        tal_path = osp.join(root, 'data', 'eeg', 'R1060M', 'tal',
                            'R1060M_talLocs_database_bipol.mat')

        base_e_reader = BaseEventReader(filename=self.e_path,
                                        eliminate_events_with_no_eeg=True)

        self.base_events = base_e_reader.read()

        tal_reader = TalReader(filename=tal_path)
        self.monopolar_channels = tal_reader.get_monopolar_channels()
        self.bipolar_pairs = tal_reader.get_bipolar_pairs()

        self.base_events = self.base_events[self.base_events.type == 'WORD']

        # retaining first session
        dataroot = self.base_events[0].eegfile
        self.base_events = self.base_events[self.base_events.eegfile == dataroot]

        eeg_reader = EEGReader(events=self.base_events, channels=self.monopolar_channels,
                               start_time=0.0, end_time=1.6, buffer_time=1.0)

        self.base_eegs = eeg_reader.read()
Esempio n. 4
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    def setUp(self):
        self.e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'
        tal_path = '/Users/m/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat'

        # ---------------- NEW STYLE PTSA -------------------
        base_e_reader = BaseEventReader(filename=self.e_path, eliminate_events_with_no_eeg=True)

        self.base_events = base_e_reader.read()



        tal_reader = TalReader(filename=tal_path)
        self.monopolar_channels = tal_reader.get_monopolar_channels()
        self.bipolar_pairs = tal_reader.get_bipolar_pairs()


        self.base_events = self.base_events[self.base_events.type == 'WORD']

        # retaining first session
        dataroot = self.base_events[0].eegfile
        self.base_events = self.base_events[self.base_events.eegfile == dataroot]

        eeg_reader = EEGReader(events=self.base_events, channels=self.monopolar_channels,
                               start_time=0.0, end_time=1.6, buffer_time=1.0)

        self.base_eegs = eeg_reader.read()
Esempio n. 5
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def test_2():
    import time
    start = time.time()

    e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'

    from ptsa.data.readers import BaseEventReader

    base_e_reader = BaseEventReader(filename=e_path)

    base_events = base_e_reader.read()

    base_events = base_events[base_events.type == 'WORD']

    # selecting only one session
    base_events = base_events[base_events.eegfile == base_events[0].eegfile]

    from ptsa.data.readers.TalReader import TalReader
    tal_path = '/Users/m/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat'
    tal_reader = TalReader(filename=tal_path)
    monopolar_channels = tal_reader.get_monopolar_channels()
    bipolar_pairs = tal_reader.get_bipolar_pairs()

    print 'bipolar_pairs=', bipolar_pairs

    from ptsa.data.experimental.TimeSeriesEEGReader import TimeSeriesEEGReader

    time_series_reader = TimeSeriesEEGReader(events=base_events,
                                             start_time=0.0,
                                             end_time=1.6,
                                             buffer_time=1.0,
                                             keep_buffer=True)

    base_eegs = time_series_reader.read(channels=monopolar_channels)

    # base_eegs = base_eegs[:, 0:10, :]
    # bipolar_pairs = bipolar_pairs[0:10]

    wf = MorletWaveletFilter(
        time_series=base_eegs,
        freqs=np.logspace(np.log10(3), np.log10(180), 2),
        # freqs=np.array([3.]),
        output='power',
    )

    pow_wavelet, phase_wavelet = wf.filter()

    print 'total time = ', time.time() - start

    res_start = time.time()

    # from ptsa.data.filters.ResampleFilter import ResampleFilter
    # rsf = ResampleFilter (resamplerate=50.0)
    # rsf.set_input(pow_wavelet)
    # pow_wavelet = rsf.filter()

    print 'resample_time=', time.time() - res_start
    return pow_wavelet
Esempio n. 6
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def main_fcn():
    e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'

    from ptsa.data.readers import BaseEventReader

    base_e_reader = BaseEventReader(filename=e_path, eliminate_events_with_no_eeg=True)

    base_events = base_e_reader.read()



    base_events = base_events[base_events.type == 'WORD']

    # selecting only one session
    base_events = base_events[base_events.eegfile == base_events[0].eegfile]

    from ptsa.data.readers.TalReader import TalReader

    tal_path = '/Users/m/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat'
    tal_reader = TalReader(filename=tal_path)
    monopolar_channels = tal_reader.get_monopolar_channels()
    bipolar_pairs = tal_reader.get_bipolar_pairs()

    print('bipolar_pairs=', bipolar_pairs)


    from ptsa.data.readers.EEGReader import EEGReader

    sessions = np.unique(base_events.session)
    dataroot = base_events[0].eegfile

    session_reader = EEGReader(session_dataroot=dataroot, channels=monopolar_channels)
    session_eegs = session_reader.read()

    m2b = MonopolarToBipolarMapper(time_series=session_eegs, bipolar_pairs=bipolar_pairs)
    session_bp_eegs = m2b.filter()





    time_series_reader = EEGReader(events=base_events, channels=monopolar_channels, start_time=0.0,
                                             end_time=1.6, buffer_time=1.0)


    base_eegs = time_series_reader.read()


    m2b = MonopolarToBipolarMapper(time_series=base_eegs, bipolar_pairs=bipolar_pairs)
    ts_filtered = m2b.filter()

    del base_eegs
    del time_series_reader

    print()

    pass
Esempio n. 7
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    def setUp(self):
        self.event_range = range(0, 30, 1)
        self.e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'
        self.tal_path = '/Users/m/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat'

        if sys.platform.startswith('win'):
            self.e_path = 'D:/data/events/RAM_FR1/R1060M_events.mat'
            self.tal_path = 'D:/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat'

        # --------------- TAL STRUCTS READ
        tal_reader = TalReader(filename=self.tal_path)
        self.monopolar_channels = tal_reader.get_monopolar_channels()


        # ---------------- ORIG PTSA -------------------
        e_reader = PTSAEventReader(filename=self.e_path, eliminate_events_with_no_eeg=True)
        events = e_reader.read()

        events = events[events.type == 'WORD']

        events = events[self.event_range]

        ev_order = np.argsort(events, order=('session','list','mstime'))
        self.events = events[ev_order]

        # self.events = self.read_ptsa_events()

        # in case fancy indexing looses Eventness of events we need to create Events object explicitely
        if not isinstance(self.events, Events):
            self.events = Events(self.events)

        start_time = 0.0
        end_time = 1.6
        buffer_time = 1.0

        self.eegs = self.events.get_data(channels=['002', '003'], start_time=start_time, end_time=end_time,
                                         buffer_time=buffer_time, eoffset='eegoffset', keep_buffer=True,
                                         eoffset_in_time=False, verbose=True)

        # ---------------- NEW STYLE PTSA -------------------
        base_e_reader = BaseEventReader(filename=self.e_path, eliminate_events_with_no_eeg=True)

        base_events = base_e_reader.read()

        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]

        self.base_events = base_events[self.event_range]

        # self.base_events = self.read_base_events()

        eeg_reader = EEGReader(events=self.base_events, channels=np.array(['002', '003']),
                               start_time=start_time, end_time=end_time, buffer_time=buffer_time)

        self.base_eegs = eeg_reader.read()
def test_1():
    import time
    start = time.time()

    e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'

    from ptsa.data.readers import BaseEventReader

    base_e_reader = BaseEventReader(filename=e_path,
                                    eliminate_events_with_no_eeg=True,
                                    use_ptsa_events_class=False)

    base_events = base_e_reader.read()

    base_events = base_events[base_events.type == 'WORD']

    # selecting only one session
    base_events = base_events[base_events.eegfile == base_events[0].eegfile]

    from ptsa.data.readers.TalReader import TalReader
    tal_path = '/Users/m/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat'
    tal_reader = TalReader(filename=tal_path)
    monopolar_channels = tal_reader.get_monopolar_channels()
    bipolar_pairs = tal_reader.get_bipolar_pairs()

    dataroot = base_events[0].eegfile
    from ptsa.data.readers import EEGReader
    session_reader = EEGReader(session_dataroot=dataroot,
                               channels=monopolar_channels)
    session_eegs = session_reader.read()

    wavelet_start = time.time()

    wf = MorletWaveletFilterSimple(
        time_series=session_eegs,
        freqs=np.logspace(np.log10(3), np.log10(180), 2),
        # freqs=np.array([3.]),
        output='power',
        # resamplerate=50.0
    )

    pow_wavelet, phase_wavelet = wf.filter()
    print('wavelet total time = ', time.time() - wavelet_start)
    # return pow_wavelet

    from ptsa.data.filters import EventDataChopper
    sedc = EventDataChopper(events=base_events,
                            session_data=pow_wavelet,
                            start_time=0.0,
                            end_time=1.6,
                            buffer_time=1.0)
    chopped_wavelets = sedc.filter()

    print('total time = ', time.time() - start)

    return chopped_wavelets
Esempio n. 9
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def main_fcn():
    e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'

    from ptsa.data.readers import BaseEventReader

    base_e_reader = BaseEventReader(filename=e_path,
                                    eliminate_events_with_no_eeg=True)

    base_events = base_e_reader.read()

    base_events = base_events[base_events.type == 'WORD']

    # selecting only one session
    base_events = base_events[base_events.eegfile == base_events[0].eegfile]

    from ptsa.data.readers.TalReader import TalReader

    tal_path = '/Users/m/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat'
    tal_reader = TalReader(filename=tal_path)
    monopolar_channels = tal_reader.get_monopolar_channels()
    bipolar_pairs = tal_reader.get_bipolar_pairs()

    print 'bipolar_pairs=', bipolar_pairs

    from ptsa.data.readers.EEGReader import EEGReader

    sessions = np.unique(base_events.session)
    dataroot = base_events[0].eegfile

    session_reader = EEGReader(session_dataroot=dataroot,
                               channels=monopolar_channels)
    session_eegs = session_reader.read()

    m2b = MonopolarToBipolarMapper(time_series=session_eegs,
                                   bipolar_pairs=bipolar_pairs)
    session_bp_eegs = m2b.filter()

    time_series_reader = EEGReader(events=base_events,
                                   channels=monopolar_channels,
                                   start_time=0.0,
                                   end_time=1.6,
                                   buffer_time=1.0)

    base_eegs = time_series_reader.read()

    m2b = MonopolarToBipolarMapper(time_series=base_eegs,
                                   bipolar_pairs=bipolar_pairs)
    ts_filtered = m2b.filter()

    del base_eegs
    del time_series_reader

    print

    pass
Esempio n. 10
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    def read_electrode_info(self, subject):

        tal_path = join(self.prefix, 'data/eeg/%s/tal/%s_talLocs_database_bipol.mat' % (subject, subject))

        tal_reader = TalReader(filename=tal_path)

        monopolar_channels = tal_reader.get_monopolar_channels()
        bipolar_pairs = tal_reader.get_bipolar_pairs()
        tal_struct = tal_reader.read()

        return tal_struct, monopolar_channels, bipolar_pairs
def test_1():
    import time

    start = time.time()

    e_path = "/Users/m/data/events/RAM_FR1/R1060M_events.mat"

    from ptsa.data.readers import BaseEventReader

    base_e_reader = BaseEventReader(filename=e_path, eliminate_events_with_no_eeg=True, use_ptsa_events_class=False)

    base_events = base_e_reader.read()

    base_events = base_events[base_events.type == "WORD"]

    # selecting only one session
    base_events = base_events[base_events.eegfile == base_events[0].eegfile]

    from ptsa.data.readers.TalReader import TalReader

    tal_path = "/Users/m/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat"
    tal_reader = TalReader(filename=tal_path)
    monopolar_channels = tal_reader.get_monopolar_channels()
    bipolar_pairs = tal_reader.get_bipolar_pairs()

    dataroot = base_events[0].eegfile
    from ptsa.data.readers import EEGReader

    session_reader = EEGReader(session_dataroot=dataroot, channels=monopolar_channels)
    session_eegs = session_reader.read()

    wavelet_start = time.time()

    wf = MorletWaveletFilterSimple(
        time_series=session_eegs,
        freqs=np.logspace(np.log10(3), np.log10(180), 2),
        # freqs=np.array([3.]),
        output="power",
        # resamplerate=50.0
    )

    pow_wavelet, phase_wavelet = wf.filter()
    print "wavelet total time = ", time.time() - wavelet_start
    # return pow_wavelet

    from ptsa.data.filters import EventDataChopper

    sedc = EventDataChopper(events=base_events, session_data=pow_wavelet, start_time=0.0, end_time=1.6, buffer_time=1.0)
    chopped_wavelets = sedc.filter()

    print "total time = ", time.time() - start

    return chopped_wavelets
Esempio n. 12
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    def setUp(self):
        self.event_range = range(0, 30, 1)
        self.e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'
        self.tal_path = '/Users/m/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat'

        # --------------- TAL STRUCTS READ
        tal_reader = TalReader(filename=self.tal_path)
        self.monopolar_channels = tal_reader.get_monopolar_channels()


        # ---------------- ORIG PTSA -------------------
        e_reader = PTSAEventReader(filename=self.e_path, eliminate_events_with_no_eeg=True)
        events = e_reader.read()

        events = events[events.type == 'WORD']

        events = events[self.event_range]

        ev_order = np.argsort(events, order=('session','list','mstime'))
        self.events = events[ev_order]

        # self.events = self.read_ptsa_events()

        # in case fancy indexing looses Eventness of events we need to create Events object explicitely
        if not isinstance(self.events, Events):
            self.events = Events(self.events)

        start_time = 0.0
        end_time = 1.6
        buffer_time = 1.0

        self.eegs = self.events.get_data(channels=['002', '003'], start_time=start_time, end_time=end_time,
                                         buffer_time=buffer_time, eoffset='eegoffset', keep_buffer=True,
                                         eoffset_in_time=False, verbose=True)

        # ---------------- NEW STYLE PTSA -------------------
        base_e_reader = BaseEventReader(filename=self.e_path, eliminate_events_with_no_eeg=True)

        base_events = base_e_reader.read()

        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]

        self.base_events = base_events[self.event_range]

        # self.base_events = self.read_base_events()

        eeg_reader = EEGReader(events=self.base_events, channels=np.array(['002', '003']),
                               start_time=start_time, end_time=end_time, buffer_time=buffer_time)

        self.base_eegs = eeg_reader.read()
Esempio n. 13
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    def setUp(self):
        self.start_time = -0.5
        self.end_time = 1.6
        self.buffer_time = 0.5

        self.event_range = range(0, 30, 1)

        # here = osp.abspath(osp.dirname(__file__))
        here = get_rhino_root()
        self.e_path = osp.join(here, 'data', 'events', 'RAM_FR1',
                               'R1060M_events.mat')
        tal_path = osp.join(here, 'data', 'eeg', 'R1060M', 'tal',
                            'R1060M_talLocs_database_bipol.mat')

        tal_reader = TalReader(filename=tal_path)
        self.monopolar_channels = tal_reader.get_monopolar_channels()
        self.bipolar_pairs = tal_reader.get_bipolar_pairs()

        base_e_reader = BaseEventReader(filename=self.e_path,
                                        eliminate_events_with_no_eeg=True)
        base_events = base_e_reader.read()
        base_events = base_events[base_events.type == 'WORD']
        base_ev_order = np.argsort(base_events,
                                   order=('session', 'list', 'mstime'))
        self.base_events = base_events[base_ev_order]

        # retaining first session
        dataroot = self.base_events[0].eegfile
        self.base_events = self.base_events[self.base_events.eegfile ==
                                            dataroot]
        self.base_events = self.base_events[self.event_range]

        eeg_reader = EEGReader(events=self.base_events,
                               channels=self.monopolar_channels,
                               start_time=self.start_time,
                               end_time=self.end_time,
                               buffer_time=self.buffer_time)

        self.base_eegs = eeg_reader.read()

        session_reader = EEGReader(session_dataroot=dataroot,
                                   channels=self.monopolar_channels)
        self.session_eegs = session_reader.read()
Esempio n. 14
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    def setUp(self):
        self.start_time = -0.5
        self.end_time = 1.6
        self.buffer_time = 0.5

        self.event_range = range(0, 30, 1)
        self.e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'

        tal_path = '/Users/m/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat'
        tal_reader = TalReader(filename=tal_path)
        self.monopolar_channels = tal_reader.get_monopolar_channels()
        self.bipolar_pairs = tal_reader.get_bipolar_pairs()

        # ---------------- NEW STYLE PTSA -------------------
        base_e_reader = BaseEventReader(filename=self.e_path, eliminate_events_with_no_eeg=True)

        base_events = base_e_reader.read()

        base_events = base_events[base_events.type == 'WORD']

        base_ev_order = np.argsort(base_events, order=('session', 'list', 'mstime'))
        self.base_events = base_events[base_ev_order]

        # retaining first session
        dataroot = self.base_events[0].eegfile
        self.base_events = self.base_events[self.base_events.eegfile == dataroot]

        self.base_events = self.base_events[self.event_range]

        # self.base_events = base_events[self.event_range]

        # self.base_events = self.read_base_events()

        eeg_reader = EEGReader(events=self.base_events, channels=self.monopolar_channels,
                               start_time=self.start_time, end_time=self.end_time, buffer_time=self.buffer_time)

        self.base_eegs = eeg_reader.read()

        session_reader = EEGReader(session_dataroot=dataroot, channels=self.monopolar_channels)
        self.session_eegs = session_reader.read()
    from ptsa.data.readers import PTSAEventReader
    from ptsa.data.events import Events

    e_path = '/Volumes/rhino_root/data/events/RAM_PS/R1108J_1_events.mat'
    e_path = '/Volumes/rhino_root/data/events/RAM_PS/R1108J_1_events.mat'
    # e_path ='/Users/m/data/events/RAM_FR1/R1056M_events.mat'

    e_reader = BaseEventReader(filename=e_path,
                               eliminate_events_with_no_eeg=True)

    events = e_reader.read()

    from ptsa.data.readers.TalReader import TalReader

    tal_path = '/Volumes/rhino_root/data/eeg/R1108J_1/tal/R1108J_1_talLocs_database_bipol.mat'
    tal_reader = TalReader(filename=tal_path)
    monopolar_channels = tal_reader.get_monopolar_channels()
    bipolar_pairs = tal_reader.get_bipolar_pairs()

    # ---------------- NEW STYLE PTSA -------------------
    base_e_reader = BaseEventReader(filename=e_path,
                                    eliminate_events_with_no_eeg=True)

    base_events = base_e_reader.read()

    base_events = base_events[(base_events.type == 'STIMULATING')]
    base_events = base_events[base_events.session == 2]

    from ptsa.data.readers.EEGReader import EEGReader
    eeg_reader = EEGReader(events=base_events,
                           channels=monopolar_channels[0:3],
def test_1_old():
    import time
    start = time.time()

    e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'

    from ptsa.data.readers import BaseEventReader

    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']

    # selecting only one session
    base_events = base_events[base_events.eegfile == base_events[0].eegfile]

    from ptsa.data.readers.TalReader import TalReader
    tal_path = '/Users/m/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat'
    tal_reader = TalReader(tal_filename=tal_path)
    monopolar_channels = tal_reader.get_monopolar_channels()
    bipolar_pairs = tal_reader.get_bipolar_pairs()

    print('bipolar_pairs=', bipolar_pairs)

    from ptsa.data.experimental.TimeSeriesSessionEEGReader import TimeSeriesSessionEEGReader

    # time_series_reader = TimeSeriesSessionEEGReader(events=base_events, channels = ['002', '003', '004', '005'])
    time_series_reader = TimeSeriesSessionEEGReader(
        events=base_events, channels=monopolar_channels)
    ts_dict = time_series_reader.read()

    first_session_data = list(ts_dict.items())[0][1]

    print(first_session_data)

    wavelet_start = time.time()

    wf = MorletWaveletFilterSimple(
        time_series=first_session_data,
        freqs=np.logspace(np.log10(3), np.log10(180), 2),
        # freqs=np.array([3.]),
        output='power',
        # resamplerate=50.0
    )

    pow_wavelet, phase_wavelet = wf.filter()
    print('wavelet total time = ', time.time() - wavelet_start)
    # return pow_wavelet

    from ptsa.data.experimental.EventDataChopper import EventDataChopper
    edcw = EventDataChopper(events=base_events,
                            event_duration=1.6,
                            buffer=1.0,
                            data_dict={base_events[0].eegfile: pow_wavelet})

    chopped_wavelets = edcw.filter()

    chopped_wavelets = list(chopped_wavelets.items())[0][
        1]  # getting first item of return dictionary

    print('total time = ', time.time() - start)
    #
    # from ptsa.data.filters.ResampleFilter import ResampleFilter
    # rsf = ResampleFilter (resamplerate=50.0)
    # rsf.set_input(chopped_wavelets)
    # chopped_wavelets_resampled = rsf.filter()
    #
    # return chopped_wavelets_resampled
    return chopped_wavelets
Esempio n. 17
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if __name__ == '__main__':
    e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'

    from ptsa.data.readers import BaseEventReader

    base_e_reader = BaseEventReader(filename=e_path, eliminate_events_with_no_eeg=True)

    base_events = base_e_reader.read()

    base_events = base_events[base_events.type == 'WORD']

    from ptsa.data.readers.TalReader import TalReader

    tal_path = '/Users/m/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat'
    tal_reader = TalReader(filename=tal_path)
    monopolar_channels = tal_reader.get_monopolar_channels()

    from ptsa.data.experimental.TimeSeriesSessionEEGReader import TimeSeriesSessionEEGReader

    time_series_reader = TimeSeriesSessionEEGReader(events=base_events, channels=['002', '003', '004', '005'])
    # time_series_reader = TimeSeriesSessionEEGReader(events=base_events, channels=monopolar_channels)
    ts_dict = time_series_reader.read()

    print ts_dict

    from ptsa.data.experimental.EventDataChopper import EventDataChopper

    edc = EventDataChopper(events=base_events, event_duration=1.6, buffer=1.0, data_dict=ts_dict)
    ev_data_dict = edc.filter()
    print ev_data_dict
Esempio n. 18
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    from ptsa.data.readers import PTSAEventReader
    from ptsa.data.events import Events

    e_path = '/Volumes/rhino_root/data/events/RAM_PS/R1108J_1_events.mat'
    e_path = '/Volumes/rhino_root/data/events/RAM_PS/R1108J_1_events.mat'
    # e_path ='/Users/m/data/events/RAM_FR1/R1056M_events.mat'

    e_reader = BaseEventReader(filename=e_path, eliminate_events_with_no_eeg=True)


    events = e_reader.read()

    from ptsa.data.readers.TalReader import TalReader

    tal_path = '/Volumes/rhino_root/data/eeg/R1108J_1/tal/R1108J_1_talLocs_database_bipol.mat'
    tal_reader = TalReader(filename=tal_path)
    monopolar_channels = tal_reader.get_monopolar_channels()
    bipolar_pairs = tal_reader.get_bipolar_pairs()

    # ---------------- NEW STYLE PTSA -------------------
    base_e_reader = BaseEventReader(filename=e_path, eliminate_events_with_no_eeg=True)

    base_events = base_e_reader.read()

    base_events = base_events[(base_events.type == 'STIMULATING') ]
    base_events = base_events[base_events.session == 2]


    from ptsa.data.readers.EEGReader import EEGReader
    eeg_reader = EEGReader(events=base_events, channels=monopolar_channels[0:3],
                           start_time=-1.1, end_time=-0.1, buffer_time=1.0)
Esempio n. 19
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def test_1_old():
    import time
    start = time.time()

    e_path = '/Users/m/data/events/RAM_FR1/R1060M_events.mat'

    from ptsa.data.readers import BaseEventReader

    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']

    # selecting only one session
    base_events = base_events[base_events.eegfile == base_events[0].eegfile]

    from ptsa.data.readers.TalReader import TalReader
    tal_path = '/Users/m/data/eeg/R1060M/tal/R1060M_talLocs_database_bipol.mat'
    tal_reader = TalReader(tal_filename=tal_path)
    monopolar_channels = tal_reader.get_monopolar_channels()
    bipolar_pairs = tal_reader.get_bipolar_pairs()

    print 'bipolar_pairs=', bipolar_pairs

    from ptsa.data.experimental.TimeSeriesSessionEEGReader import TimeSeriesSessionEEGReader

    # time_series_reader = TimeSeriesSessionEEGReader(events=base_events, channels = ['002', '003', '004', '005'])
    time_series_reader = TimeSeriesSessionEEGReader(events=base_events, channels=monopolar_channels)
    ts_dict = time_series_reader.read()

    first_session_data = ts_dict.items()[0][1]

    print first_session_data

    wavelet_start = time.time()

    wf = MorletWaveletFilter(time_series=first_session_data,
                             freqs=np.logspace(np.log10(3), np.log10(180), 2),
                             # freqs=np.array([3.]),
                             output='power',
                             # resamplerate=50.0
                             )

    pow_wavelet, phase_wavelet = wf.filter()
    print 'wavelet total time = ', time.time() - wavelet_start
    # return pow_wavelet

    from ptsa.data.experimental.EventDataChopper import EventDataChopper
    edcw = EventDataChopper(events=base_events, event_duration=1.6, buffer=1.0,
                            data_dict={base_events[0].eegfile: pow_wavelet})

    chopped_wavelets = edcw.filter()

    chopped_wavelets = chopped_wavelets.items()[0][1]  # getting first item of return dictionary

    print 'total time = ', time.time() - start
    #
    # from ptsa.data.filters.ResampleFilter import ResampleFilter
    # rsf = ResampleFilter (resamplerate=50.0)
    # rsf.set_input(chopped_wavelets)
    # chopped_wavelets_resampled = rsf.filter()
    #
    # return chopped_wavelets_resampled
    return chopped_wavelets
Esempio n. 20
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def get_monopolar_and_bipolar_electrodes():
    tal_reader = TalReader(filename=tal_path)
    monopolar_channels = tal_reader.get_monopolar_channels()
    bipolar_pairs = tal_reader.get_bipolar_pairs()
    return monopolar_channels, bipolar_pairs