NeuroAnalyzer tutorials: Interactive plots

For interactive plots, GTK and Cairo are required (all necessary libraries should be installed automatically).

iview()

iview() is a simple viewer for continuous and epoched signals.

iview(eeg)
iview(eeg)
iview(eeg, zoom=20) # show signal in 20-second fragments

(!) Default zoom value is 5 seconds.

(!) Up to 10 channels are displayed.

Keyboard shortcuts:

• a: go to the signal beginning
• s: go to the signal end
• z: go back by 1 seconds
• x: go forward by 1 seconds
• c: go back by zoom seconds
• v: go forward by zoom seconds
• b: slide channels up
• n: slide channels down
• h: show keyboard shortcuts
• q: close window

(!) Epoched signal should be viewed using iview_ep(), while continuous signal should be viewed using iview_cont(). The meta-function iview() detects type of the signal and chooses appropriate function.

For epoched signal the keyboard shortcuts are:

• a: go to the first epoch
• s: go to the last epoch
• z: previous epoch
• x: next epoch
• b: slide channels up
• n: slide channels down
• h: show keyboard shortcuts
• q: close window

iedit()

To interactively edit the signal:

iedit(eeg)

To preview and edit the continuous signal:

iedit_cont(eeg, ch=1:19)
iedit_cont(eeg, mono=false, zoom=20)

(!) Epoched signal should be edited using iedit_ep(), while continuous signal should be edited using iedit_cont(). The meta-function iedit() detects type of the signal and chooses appropriate function.

(!) Segment markers are placed by clicking with left mouse button (from) and right mouse button (to).

(!) Default zoom value is 5 seconds.

Keyboard shortcuts:

• a: go to the signal beginning
• s: go to the signal end
• z: go back by 1 seconds
• x: go forward by 1 seconds
• c: go back by zoom seconds
• v: go forward by zoom seconds
• d: delete time segment – in the example above this would be the segment between 55.0 and 57.0 second
• h: show keyboard shortcuts
• q: close window

To edit the epoched signal interactively:

iedit(eeg)
iedit_seg(eeg)

Keyboard shortcuts:

• a: go to the first epoch
• s: go to the last epoch
• z: previous epoch
• x: next epoch
• d: delete current epoch
• h: show keyboard shortcuts
• q: close window

iplot()

Signal amplitude may also be plotted using interactive plot:

iplot(eeg)
iplot_ep(e10)

(!) Epoched signal should be previewed using iplot_ep(), while continuous signal should be edited using iplot_cont(). The meta-function iplot() detects type of the signal and chooses appropriate function.

Keyboard shortcuts:

• a: go to the signal beginning
• s: go to the signal end
• z: go back by 1 seconds
• x: go forward by 1 seconds
• c: go back by zoom seconds
• v: go forward by zoom seconds
• h: show keyboard shortcuts
• q: close window

Keyboard shortcuts:

• a: go to the first epoch
• s: go to the last epoch
• z: previous epoch
• x: next epoch
• h: show keyboard shortcuts
• q: close window

(!) Default zoom value is 5 seconds.

(!) To restore default title or axis labels, enter default into appropriate field(s).

To compare two signals, e.g. before and after filtering

iplot(eeg1, eeg2)

ipsd()

PSD may be plotted using interactive plot:

ipsd(eeg)
ipsd_ep(e10)

(!) Keyboard shortcuts are the same as for iplot_cont() and iplot_ep().

ispectrogram()

Spectrogram may be plotted using interactive plot:

ispectrogram(eeg)
ispectrogram_ep(e10)

(!) Keyboard shortcuts are the same as for iplot_cont() and iplot_ep().

For continuous wavelet transformation, custom wavelet formula may be entered in the field (default is Morlet(2π), β=1). Please refer to the documentation of DSP.jl to see the list of available wavelet families and parameters.