EmgCoActivationFilter

class pyCGM2.EMG.emgFilters.EmgCoActivationFilter(analysis: Analysis, context: str)

Filter for computing co-activation index between two EMG signals.

This filter computes the co-activation index between two specified EMG signals for a given context, using a specified co-activation procedure.

Parameters:

• analysis (Analysis) – A pyCGM2 analysis instance containing EMG data.

• context (str) – Event context for the co-activation computation.

__init__(analysis: Analysis, context: str)

Initializes the EmgCoActivationFilter with an analysis instance and context.

Methods

__init__(analysis, context)	Initializes the EmgCoActivationFilter with an analysis instance and context.
run()	Run the co-activation filter.
setCoactivationMethod(concreteCA)	Set the co-activation procedure for computing the co-activation index.
setEMG1(label)	Set the label of the first EMG signal for co-activation computation.
setEMG2(label)	Set the label of the second EMG signal for co-activation computation.

run()

Run the co-activation filter.

Computes the co-activation index between the two specified EMG signals and updates the ‘coactivation’ section of the pyCGM2 Analysis instance with descriptive statistics of the results.

setCoactivationMethod(concreteCA: CoActivationProcedure)

Set the co-activation procedure for computing the co-activation index.

Parameters:

concreteCA (CoActivationProcedure) – An instance of a CoActivationProcedure subclass for computing the co-activation index.

setEMG1(label: str)

Set the label of the first EMG signal for co-activation computation.

Parameters:

label (str) – The label of the first EMG signal.

setEMG2(label: str)

Set the label of the second EMG signal for co-activation computation.

Parameters:

label (str) – The label of the first EMG signal.