Resample:
sr(eeg)
eeg_512 = NeuroAnalyzer.resample(eeg, new_sr=512)
eeg_128 = NeuroAnalyzer.resample(eeg, new_sr=128)Create virtual channel:
vc = vch(eeg, f="mean(fp1 + fp2) / cz")Any external formula/operation/function may be applied to EEG signal
using apply() function:
ch_avg = apply(eeg, f="mean(eeg, dims=1)", ch=1:4)In the formula eeg indicates EEG object. Function
f will be applied to all channels specified by
channel (default is all EEG/MEG channels).
Getting band frequency range:
band_frq(eeg, band=:alpha)
filter!(eeg, fprototype=:butterworth, ftype=:bp, cutoff=band_frq(eeg, band=:alpha), order=8)(!) Band range is truncated is Nyquist frequency based on EEG sampling rate (128.0) is lower than the band range, e.g. gamma range (30.0-150.0 Hz) is truncated to: 30.0-127.9 Hz for 128 Hz signal.
Get channel numbers by channel picks (set of electrodes):
e = channel_pick(eeg, p=:c) # central
labels(eeg)[e]
e = channel_pick(eeg, p=[:l, :f, :t]) # left fronto-temporal
labels(eeg)[e](!) Available picks: :central (:c),
:left (:l), :right
(:r), :frontal (:f),
:temporal (:t), :parietal
(:p), :occipital (:o).
Get channel numbers by channels cluster:
channel_cluster(eeg, cluster=:f1)Channel clusters:
Convert samples to seconds/seconds to samples:
s2t(eeg, s=1234)
t2s(eeg, t=10)