pyCGM2.Model.modelDecorator.bellRegression

pyCGM2.Model.modelDecorator.bellRegression(mp_input: Dict[str, float], mp_computed: Dict[str, float], markerDiameter: float = 14.0, basePlate: float = 2.0, cgmReferential: bool = True) → Tuple[ndarray, ndarray]

Implements the Bell et al. regression for hip joint center estimation.

Parameters:

• mp_input (Dict[str, float]) – Dictionary of measured anthropometric parameters.

• mp_computed (Dict[str, float]) – Dictionary of computed anthropometric parameters.

• markerDiameter (float, optional) – Diameter of the marker. Defaults to 14.0.

• basePlate (float, optional) – Thickness of the base plate. Defaults to 2.0.

• cgmReferential (bool, optional) – Flag indicating if HJC position will be expressed in CGM pelvis coordinate system. Defaults to True.

Returns:

Tuple[np.ndarray, np.ndarray] – Estimated positions of left and right hip joint centers.

References

• Bell AL, Pederson DR, and Brand RA (1989) “Prediction of hip joint center location from external landmarks.” Human Movement Science. 8:3-16.

• Bell AL, Pedersen DR, Brand RA (1990) “A Comparison of the Accuracy of Several hip Center Location Prediction Methods.” J Biomech. 23, 617-621.