MarkerAnomalyCorrectionProcedure

class pyCGM2.Anomaly.anomalyCorrectionProcedures.MarkerAnomalyCorrectionProcedure(markers: List | str, anomalyIndexes: List[int], plot: bool = False, **kwargs)

Subclass of AnomalyCorrectionProcedure for correcting anomalies in marker data.

This class implements a procedure to identify and correct anomalies in marker trajectories using various parameters and methods.

m_markers

List of marker labels or a single marker label.

Type:

Union[List[str], str]

m_anomalyIndexes

Indices of detected anomalies in the marker data.

Type:

List[int]

_plot

Flag to indicate if the plot should be displayed. Defaults to False.

Type:

bool

_distance_threshold

Threshold distance for clustering anomalies. Defaults to 10.

Type:

int

__init__(markers: List | str, anomalyIndexes: List[int], plot: bool = False, **kwargs)

Initialize the MarkerAnomalyCorrectionProcedure class with given parameters.

Parameters:

• markers (Union[List[str], str]) – List of marker labels or a single marker label.

• anomalyIndexes (List[int]) – List of indices where anomalies are detected in the marker data.

• plot (bool, optional) – Flag to indicate if the plot should be displayed. Defaults to False.

Methods

__init__(markers, anomalyIndexes[, plot])	Initialize the MarkerAnomalyCorrectionProcedure class with given parameters.
run(acq, filename)	Execute the anomaly correction procedure on the given acquisition data.

run(acq: btkAcquisition, filename: str)

Execute the anomaly correction procedure on the given acquisition data.

Parameters:

• acq (btk.btkAcquisition) – An instance of a btk acquisition object.

• filename (str) – The filename of the data to be processed.

Returns:

btk.btkAcquisition – The acquisition object after applying anomaly corrections.