BasicEmgProcessingFilter

class pyCGM2.EMG.emgFilters.BasicEmgProcessingFilter(acq: btkAcquisition, labels: List)

Filter for filtering EMG signals with a high-pass filter.

This filter applies a high-pass Butterworth filter to EMG signals to remove low-frequency noise and baseline drift.

Parameters:

• acq (btk.btkAcquisition) – An acquisition instance containing EMG data.

• labels (List[str]) – List of EMG channel labels to process.

__init__(acq: btkAcquisition, labels: List)

Initializes the BasicEmgProcessingFilter with acquisition data and EMG labels.

Methods

__init__(acq, labels)	Initializes the BasicEmgProcessingFilter with acquisition data and EMG labels.
run()	Run the high-pass filter on the specified EMG channels.
setHighPassFrequencies(low, up)	Set the frequency boundaries of the EMG Butterworth high-pass filter.

run()

Run the high-pass filter on the specified EMG channels.

setHighPassFrequencies(low: float, up: float)

Set the frequency boundaries of the EMG Butterworth high-pass filter.

Parameters:

• low (float) – Lower frequency boundary for the high-pass filter.

• up (float) – Upper frequency boundary for the high-pass filter.