View source for AnyWave:ICA

=ICA Plug-in=
This plugin will extract Independent Components from signals.<br />
The algorithm used is the Infomax algorithm.<br />
This plug-in will run in the background, doing the computation and then a file will be created containing the resulting matrices: (mixing and unmixing matrices).<br />
The only user interface is the one which let the user set all the settings before the computation is done.<br />
[[File:ICA_ui.png|center]]
==Algorithm==
The plug-in was designed to implement several algorithms but only infomax is implemented so far.<br />

==Filtering==
The user can specify a frequency bandwidth to use by defining a low pass and a high pass filtering.<br />
Note that decimation will be applied depending on the low pass filtering, to shorten the calculation time and minimize the memory usage.<br />
==Data Input==
The user must choose on what type of signal the computation will be done (EEG or MEG).<br />
By default, bad channels are excluded.
Finally, markers can be used to remove bad part of the signals (artifacts, etc.), the user must first add markers by itself or using another plug-in with an explicit name.<br />

==Data Output==
The number of components is by default limited to 50 but all the components can be extracted at the cost of a longer calculation.<br />
By default, a result file will be created in the data folder. This file can be imported afterward in AnyWave by using the Load ICA Components feature.
=Batch mode=
This plugin can run in command line or batch mode.<br/>
Here are the json keys the plugin will use:<br/>
<syntaxhighlight lang="javascript">
{
"plugin": "ica", 
"hp": 1,
"lp": 45,
"comp" : 50,
"downsampling" : false,
"modality" : "MEG",
"input_file" : "/path/to/data.meg",
"output_dir" : "/path/to/output_dir",
"use_markers" : [ "selection1", "selection2"],
"skip_markers" : [ "artefact", "artefacted" ]
}
</syntaxhighlight>

{| class="wikitable"
|-
! key !! description !! requirement !! default behavior
|-
| plugin || Name of plugin || MANDATORY || n/a
|-
| lp, hp || low pass, high pass filters || OPTIONAL || if not specifed, no data filtering.
|-
| downsampling || enable/disable downsampling of data || OPTIONAL || default is true
|-
| modality || channel modality (MEG, EEG, ...) || MANDATORY || n/a
|}