elif subject == 'S236':
ocular_projs = [Projs[0]]
elif subject == 'S238':
ocular_projs = [Projs[0], Projs[2]]
elif subject == 'S239':
ocular_projs = [Projs[0], Projs[2]]
elif subject == 'S246':
ocular_projs = [Projs[0], Projs[2]]
elif subject == 'S247': #S247 looks sleepy ... lot of alpha
ocular_projs = [Projs[0], Projs[2]]
elif subject == 'S250':
ocular_projs = [Projs[0], Projs[1]]
#ocular_projs = Projs
data_eeg.add_proj(ocular_projs)
data_eeg.plot_projs_topomap()
#data_eeg.plot(events=blinks,show_options=True)
del blinks, blink_epochs, Projs, ocular_projs
#%% Plot data
fs = data_eeg.info['sfreq']
reject = dict(eeg=1000e-6)
epochs = mne.Epochs(data_eeg,
data_evnt,
1,
tmin=-0.3,
tmax=np.ceil(mseq.size / fs) + 0.4,
reject=reject,
baseline=(-0.3, 0.))
eye_projsIAC = [Projs_IAC[0], Projs_IAC[1]]
eye_projsITD = [Projs_ITD[0], Projs_ITD[1]]
elif Subject == 'S207':
eye_projsIAC = [Projs_IAC[0]] #,Projs_IAC[2]]
eye_projsITD = [Projs_ITD[0]] #,Projs_ITD[2]]
elif Subject == 'S205':
eye_projsIAC = [Projs_IAC[0], Projs_IAC[2]]
eye_projsITD = [Projs_ITD[0], Projs_ITD[2]]
elif Subject == 'S001':
eye_projsIAC = [Projs_IAC[0], Projs_IAC[2]]
eye_projsITD = [Projs_ITD[0], Projs_ITD[2]]
elif Subject == 'S208':
eye_projsIAC = [Projs_IAC[0], Projs_IAC[2]]
eye_projsITD = [Projs_ITD[0], Projs_ITD[2]]
IAC_eeg.add_proj(eye_projsIAC)
IAC_eeg.plot_projs_topomap()
# IAC_eeg.plot(events=blinks_IAC,scalings=scalings,show_options=True,title = 'IACt')
ITD_eeg.add_proj(eye_projsITD)
ITD_eeg.plot_projs_topomap()
#%% Epoch
rand_IAC_pts = np.zeros((300, 3), dtype=int)
rand_ITD_pts = np.zeros((300, 3), dtype=int)
for r in np.arange(295):
rand_IAC_pts[r, :] = [
int(random.randint(IAC_evnt[0, 0], int(IAC_evnt[-1, 0]))),
int(0),
int(2)
]
blink_epochs = mne.Epochs(data_eeg,
blinks,
998,
tmin=-0.25,
tmax=0.25,
proj=False,
baseline=(-0.25, 0),
reject=dict(eeg=500e-6))
Projs = compute_proj_epochs(blink_epochs,
n_grad=0,
n_mag=0,
n_eeg=8,
verbose='DEBUG')
blink_proj = Projs[0]
data_eeg.add_proj(blink_proj)
data_eeg.plot_projs_topomap()
#%% Plot data
epoch_data = mne.Epochs(data_eeg,
data_evnt, [1],
tmin=-0.3,
tmax=2.3,
reject=None,
baseline=(-0.2, 0.))
evkd_data = epoch_data.average()
evkd_data.plot(picks=[31], titles='AMmseq')
#%% Plot PSD
data_eeg.plot_psd(fmin=0,
blinks_eeg = find_blinks(data_eeg, ch_name = ['A1'], thresh = 100e-6, l_trans_bandwidth=0.5, l_freq = 1.0)
scalings = dict(eeg=40e-6,stim=0.1)
blink_epochs = mne.Epochs(data_eeg,blinks_eeg,998,tmin=-0.25,tmax=0.25,proj=False,
baseline=(-0.25,0),reject=dict(eeg=500e-6))
Projs_data = compute_proj_epochs(blink_epochs, n_grad=0,n_mag=0,n_eeg=8,verbose='DEBUG')
# data_eeg.add_proj(Projs_data)
# data_eeg.plot_projs_topomap()
# if subject == 'S132':
eye_projs = Projs_data[0]
data_eeg.add_proj(eye_projs)
data_eeg.plot_projs_topomap()
plt.savefig(os.path.join(fig_path_blinkprojs,fig_name+'_blinkproj'),format=fig_format)
if close_plots: plt.close()
# data_eeg.plot(events=blinks_eeg,scalings=scalings,show_options=True)
del Projs_data, blink_epochs, blinks_eeg, eye_projs
# channels = [30,31,26,5,4,27]
# channels = [25,23]
channels = [30,31]
vis_channels = [15,17]
ylim_vals = [-3.5, 5]
ts = -0.5
te = 5
data_eegBA.filter(l_freq=1,h_freq=40)
data_eegAB.info['bads'].append('A23')
data_eegBA.info['bads'].append('A23')
#%% Remove Blinks
blinks = find_blinks(data_eegAB,ch_name = ['A1'],thresh = 100e-6, l_trans_bandwidth = 0.5, l_freq =1.0)
blink_epochs = mne.Epochs(data_eegAB,blinks,998,tmin=-0.25,tmax=0.25,proj=False,
baseline=(-0.25,0),reject=dict(eeg=500e-6))
Projs = compute_proj_epochs(blink_epochs,n_grad=0,n_mag=0,n_eeg=8,verbose='DEBUG')
ocular_projs = [Projs[0]]
data_eegAB.add_proj(ocular_projs)
data_eegAB.plot_projs_topomap()
data_eegAB.plot(events=blinks,show_options=True)
blinks = find_blinks(data_eegBA,ch_name = ['A1'],thresh = 100e-6, l_trans_bandwidth = 0.5, l_freq =1.0)
blink_epochs = mne.Epochs(data_eegBA,blinks,998,tmin=-0.25,tmax=0.25,proj=False,
baseline=(-0.25,0),reject=dict(eeg=500e-6))
Projs = compute_proj_epochs(blink_epochs,n_grad=0,n_mag=0,n_eeg=8,verbose='DEBUG')
ocular_projs = [Projs[0]]
data_eegBA.add_proj(ocular_projs)
data_eegBA.plot_projs_topomap()
data_eegBA.plot(events=blinks,show_options=True)
#%% Plot Data
refchans = ['EXG1','EXG2']
direct_IPDITD = '/media/ravinderjit/Data_Drive/EEGdata/Binaural/IPD_ITD/'
Bin_eeg, Bin_evnt = EEGconcatenateFolder(direct_IPDITD+Subject+'/',nchans,refchans)
Bin_eeg.filter(70,1500)
blinks = find_blinks(Bin_eeg, ch_name = ['A1'], thresh = 100e-6, l_trans_bandwidth=0.5,l_freq=1.0)
scalings = dict(eeg=40e-6)
blink_epochs = mne.Epochs(Bin_eeg,blinks,998,tmin=-0.25,tmax=0.25,proj=False,
baseline=(-0.25,0),reject=dict(eeg=500e-6))
Proj = compute_proj_epochs(blink_epochs,n_grad=0,n_mag=0,n_eeg=8,verbose='DEBUG')
#Bin_eeg.add_proj(Proj)
#Bin_eeg.plot_projs_topomap()
eye_projs = [Proj[0],Proj[2]]
Bin_eeg.add_proj(eye_projs)
Bin_eeg.plot_projs_topomap()
Bin_eeg.plot(events=blinks,scalings=scalings,show_options=True,title = 'IPD ITD')
channels = [31]
stimITD = mne.Epochs(Bin_eeg,Bin_evnt,1,tmin=-0.5,tmax=2.0)
stimITD = stimITD.average()
stimITD.plot(picks=channels,titles = 'ITD')
stimIPD =mne.Epochs(Bin_eeg,Bin_evnt,2,tmin=-0.5,tmax=2.0)
stimIPD = stimIPD.average()
stimIPD.plot(picks=channels,titles= 'IPD')
stimITD2 =mne.Epochs(Bin_eeg,Bin_evnt,3,tmin=-0.5,tmax=2.0)
stimITD2 = stimITD2.average()
IAC_eeg,IAC_evnt = EEGconcatenateFolder(direct_IAC+Subject+'/',nchans,refchans,exclude)
IAC_eeg.filter(1,1000)
IAC_eeg.info['bads'].append('A27')
#%% blink removal
blinks_IAC = find_blinks(IAC_eeg, ch_name = ['A1'], thresh = 100e-6, l_trans_bandwidth=0.5, l_freq = 1.0)
scalings = dict(eeg=40e-6)
blinkIAC_epochs = mne.Epochs(IAC_eeg,blinks_IAC,998,tmin=-0.25,tmax=0.25,proj=False,
baseline=(-0.25,0),reject=dict(eeg=500e-6))
Projs_IAC = compute_proj_epochs(blinkIAC_epochs, n_grad=0,n_mag=0,n_eeg=8,verbose='DEBUG')
eye_projsIAC = [Projs_IAC[0],Projs_IAC[1]]
IAC_eeg.add_proj(eye_projsIAC)
IAC_eeg.plot_projs_topomap()
IAC_eeg.plot(show_options=True)
#%% epoch
IAC_epochs = mne.Epochs(IAC_eeg,IAC_evnt,1,tmin=-0.5,tmax=14,proj=True,baseline=(-0.2, 0.),reject=None)
IAC_evoked = IAC_epochs.average()
IAC_evoked.plot(titles ='IACt_evoked')
#%% Extract epochs when stim is on
t = IAC_epochs.times
fs = IAC_epochs.info['sfreq']
t1 = np.where(t>=0)[0][0]
t2 = t1 + Mseq.size + int(np.round(0.4*fs))
tmin=-0.25,
tmax=0.25,
proj=False,
baseline=(-0.25, 0),
reject=dict(eeg=500e-6))
_Projs = compute_proj_epochs(blink_epochs,
n_grad=0,
n_mag=0,
n_eeg=8,
verbose='DEBUG')
ocular_projs = [_Projs[0], _Projs[2]]
scalings = dict(eeg=40e-6)
sentEEG.add_proj(ocular_projs)
sentEEG.plot_projs_topomap()
sentEEG.plot(events=blinks, scalings=scalings, show_options=True)
#%% evoked responses
evkd = []
epochs1 = mne.Epochs(sentEEG,
sent_evnt,
1,
tmin=-0.5,
tmax=2.5,
reject=dict(eeg=150e-6))
epochs2 = mne.Epochs(sentEEG,
sent_evnt,
