JointPatternFilter

class pyCGM2.Processing.JointPatterns.jointPatternFilters.JointPatternFilter(jointPatternProcedure: JointPatternProcedure, analysis: Analysis)

Filter for analyzing and interpreting joint patterns in movement analyses.

Parameters:

• jointPatternProcedure (JointPatternProcedure) – The procedure used for joint pattern detection.

• analysis (Analysis) – The analysis instance containing the data to be analyzed.

__init__(jointPatternProcedure: JointPatternProcedure, analysis: Analysis)

Methods

__init__(jointPatternProcedure, analysis)
getPatterns([filter])	Detects and returns joint patterns.
getValues()	Extracts values from detected joint patterns.
interpretCriteria(criteria)	Interprets criteria for joint pattern models.

getPatterns(filter: bool = False)

Detects and returns joint patterns.

Parameters:

filter (bool, optional) – If True, filters the results. Defaults to False.

Returns:

pd.DataFrame – DataFrame of detected joint patterns.

getValues()

Extracts values from detected joint patterns.

Returns:

pd.DataFrame – DataFrame containing the extracted values.

classmethod interpretCriteria(criteria: str)

Interprets criteria for joint pattern models.

Parameters:

criteria (str) – Criteria defined for pattern detection.

Returns:

Tuple[List[Dict[str, Any]], List[Dict[str, Any]]] – Returns primary and secondary criteria.