AnyWave:CLI ICA

Arguments description for plugin ICA

plugin name: ica

argument	requirement	description
input_file <file>	MANDATORY	common argument
modality <eeg,eeg,ieeg>	MANDATORY	channel modality
comp <value>	MANDATORY	number of components
hp <value>	OPTIONAL	common hp argument.
lp <value>	OPTIONAL	common lp argument.
downsampling <flag>	OPTIONAL	Downsampling data before computing. Default is false
infomax_extended <flag>	OPTIONAL	Use the extended option for Infomax. Default is false.
skip_bad <flag>	OPTIONAL	Skip bad channels. Default is true.
skip_markers <marker name>	OPTIONAL	common argument. ICA will skip all the data sections marked by the specified marker.
use_markers <marker name>	OPTIONAL	common argument. ICA will only compute on data sections marked by the specified marker.
output_dir <dir>	OPTIONAL	common argument. The result file will be placed in the specified directory path.
output_prefix <string>	OPTIONAL	common argument. The result file will be prefixed using the specified string.

Examples

run ica on meg data, just 70 components and filtering data in the 1-100Hz band.

anywave --run ica --input_file d:\data\meg\megdata.meg --modality meg --comp 70 --hp 1 --lp 100

run with extended flag and output result to a directory:

anywave --run ica --input_file d:\data\meg\megdata.meg --modality meg --comp 70 --hp 1 --lp 100 --infomax_extended true --output_dir d:\results

using json file

Sometimes it makes sense to group the plugin's parameters in a json file for further re-use in a batch loop.
A JSON file also offers the capability to specify more than one value for some arguments like skip_markers, use markers.
Example of processing while skipping several artifacts parts of the data file:
json param.json:

{
"plugin" : "ica",
"modality" : "meg",
"comp" : 70,
"skip_markers" : ["artefacts", "bad", "rejected"]
}

Then the command:

anywave --run param.json --input_file d:\data\meeg\data.meg --hp 1 --lp 100