Exemple #1
0
def fitting(model,DATA_PATH, reconstructFilenameLabelled,
    translators,weights,
    ik_flag,markerDiameter,
    pointSuffix,
    mfpa,
    momentProjection,**kwargs):

    """
    Fitting of the CGM2.3

    :param model [str]: pyCGM2 model previously calibrated
    :param DATA_PATH [str]: path to your data
    :param reconstructFilenameLabelled [string list]: c3d files
    :param translators [dict]:  translators to apply
    :param ik_flag [bool]: enable the inverse kinematic solver
    :param mfpa [str]: manual force plate assignement
    :param markerDiameter [double]: marker diameter (mm)
    :param pointSuffix [str]: suffix to add to model outputs
    :param momentProjection [str]: Coordinate system in which joint moment is expressed
    """

    if "Fitting" in weights.keys():
        weights  = weights["Fitting"]["Weight"]

    # --------------------------ACQ WITH TRANSLATORS --------------------------------------

    # --- btk acquisition ----
    if "forceBtkAcq" in kwargs.keys():
        acqGait = kwargs["forceBtkAcq"]
    else:
        acqGait = btkTools.smartReader((DATA_PATH + reconstructFilenameLabelled))

    btkTools.checkMultipleSubject(acqGait)
    if btkTools.isPointExist(acqGait,"SACR"):
        translators["LPSI"] = "SACR"
        translators["RPSI"] = "SACR"
        logging.info("[pyCGM2] Sacrum marker detected")

    acqGait =  btkTools.applyTranslators(acqGait,translators)
    trackingMarkers = model.getTrackingMarkers(acqGait)
    validFrames,vff,vlf = btkTools.findValidFrames(acqGait,trackingMarkers)
    # filtering
    # -----------------------
    if "fc_lowPass_marker" in kwargs.keys() and kwargs["fc_lowPass_marker"]!=0 :
        fc = kwargs["fc_lowPass_marker"]
        order = 4
        if "order_lowPass_marker" in kwargs.keys():
            order = kwargs["order_lowPass_marker"]
        signal_processing.markerFiltering(acqGait,trackingMarkers,order=order, fc =fc)

    if "fc_lowPass_forcePlate" in kwargs.keys() and kwargs["fc_lowPass_forcePlate"]!=0 :
        fc = kwargs["fc_lowPass_forcePlate"]
        order = 4
        if "order_lowPass_forcePlate" in kwargs.keys():
            order = kwargs["order_lowPass_forcePlate"]
        signal_processing.forcePlateFiltering(acqGait,order=order, fc =fc)


    # --- initial motion Filter ---
    scp=modelFilters.StaticCalibrationProcedure(model)
    # section to remove : - copy motion of ProximalShank from Shank with Sodervisk
    modMotion=modelFilters.ModelMotionFilter(scp,acqGait,model,enums.motionMethod.Sodervisk)
    modMotion.compute()
    # /section to remove


    if model.getBodyPart() == enums.BodyPart.UpperLimb:
        ik_flag = False
        logging.warning("[pyCGM2] Fitting only applied for the upper limb")

    if ik_flag:

        #                        ---OPENSIM IK---

        # --- opensim calibration Filter ---
        osimfile = pyCGM2.OPENSIM_PREBUILD_MODEL_PATH + "models\\osim\\lowerLimb_ballsJoints.osim"    # osimfile
        markersetFile = pyCGM2.OPENSIM_PREBUILD_MODEL_PATH + "models\\settings\\cgm2_3\\cgm2_3-markerset.xml" # markerset
        cgmCalibrationprocedure = opensimFilters.CgmOpensimCalibrationProcedures(model) # procedure

        oscf = opensimFilters.opensimCalibrationFilter(osimfile,
                                                model,
                                                cgmCalibrationprocedure,
                                                (DATA_PATH))
        oscf.addMarkerSet(markersetFile)
        scalingOsim = oscf.build()


        # --- opensim Fitting Filter ---
        iksetupFile = pyCGM2.OPENSIM_PREBUILD_MODEL_PATH + "models\\settings\\cgm2_3\\cgm2_3-ikSetUp_template.xml" # ik tl file

        cgmFittingProcedure = opensimFilters.CgmOpensimFittingProcedure(model) # procedure
        cgmFittingProcedure.updateMarkerWeight("LASI",weights["LASI"])
        cgmFittingProcedure.updateMarkerWeight("RASI",weights["RASI"])
        cgmFittingProcedure.updateMarkerWeight("LPSI",weights["LPSI"])
        cgmFittingProcedure.updateMarkerWeight("RPSI",weights["RPSI"])
        cgmFittingProcedure.updateMarkerWeight("RTHI",weights["RTHI"])
        cgmFittingProcedure.updateMarkerWeight("RKNE",weights["RKNE"])
        cgmFittingProcedure.updateMarkerWeight("RTIB",weights["RTIB"])
        cgmFittingProcedure.updateMarkerWeight("RANK",weights["RANK"])
        cgmFittingProcedure.updateMarkerWeight("RHEE",weights["RHEE"])
        cgmFittingProcedure.updateMarkerWeight("RTOE",weights["RTOE"])
        cgmFittingProcedure.updateMarkerWeight("LTHI",weights["LTHI"])
        cgmFittingProcedure.updateMarkerWeight("LKNE",weights["LKNE"])
        cgmFittingProcedure.updateMarkerWeight("LTIB",weights["LTIB"])
        cgmFittingProcedure.updateMarkerWeight("LANK",weights["LANK"])
        cgmFittingProcedure.updateMarkerWeight("LHEE",weights["LHEE"])
        cgmFittingProcedure.updateMarkerWeight("LTOE",weights["LTOE"])

        cgmFittingProcedure.updateMarkerWeight("LTHAP",weights["LTHAP"])
        cgmFittingProcedure.updateMarkerWeight("LTHAD",weights["LTHAD"])
        cgmFittingProcedure.updateMarkerWeight("LTIAP",weights["LTIAP"])
        cgmFittingProcedure.updateMarkerWeight("LTIAD",weights["LTIAD"])
        cgmFittingProcedure.updateMarkerWeight("RTHAP",weights["RTHAP"])
        cgmFittingProcedure.updateMarkerWeight("RTHAD",weights["RTHAD"])
        cgmFittingProcedure.updateMarkerWeight("RTIAP",weights["RTIAP"])
        cgmFittingProcedure.updateMarkerWeight("RTIAD",weights["RTIAD"])

        osrf = opensimFilters.opensimFittingFilter(iksetupFile,
                                                          scalingOsim,
                                                          cgmFittingProcedure,
                                                          (DATA_PATH) )

        logging.info("-------INVERSE KINEMATICS IN PROGRESS----------")
        acqIK = osrf.run(acqGait,(DATA_PATH + reconstructFilenameLabelled ))
        logging.info("-------INVERSE KINEMATICS DONE-----------------")

    # eventual gait acquisition to consider for joint kinematics
    finalAcqGait = acqIK if ik_flag else acqGait

    # --- final pyCGM2 model motion Filter ---
    # use fitted markers
    modMotionFitted=modelFilters.ModelMotionFilter(scp,finalAcqGait,model,enums.motionMethod.Sodervisk ,
                                              markerDiameter=markerDiameter)

    modMotionFitted.compute()

    if "displayCoordinateSystem" in kwargs.keys() and kwargs["displayCoordinateSystem"]:
        csp = modelFilters.ModelCoordinateSystemProcedure(model)
        csdf = modelFilters.CoordinateSystemDisplayFilter(csp,model,finalAcqGait)
        csdf.setStatic(False)
        csdf.display()

    #---- Joint kinematics----
    # relative angles
    modelFilters.ModelJCSFilter(model,finalAcqGait).compute(description="vectoriel", pointLabelSuffix=pointSuffix)

    # detection of traveling axis + absolute angle
    if model.m_bodypart != enums.BodyPart.UpperLimb:
        pfp = progressionFrame.PelvisProgressionFrameProcedure()
    else:
        pfp = progressionFrame.ThoraxProgressionFrameProcedure()

    pff = progressionFrame.ProgressionFrameFilter(finalAcqGait,pfp)
    pff.compute()
    globalFrame = pff.outputs["globalFrame"]
    forwardProgression = pff.outputs["forwardProgression"]

    if model.m_bodypart != enums.BodyPart.UpperLimb:
            modelFilters.ModelAbsoluteAnglesFilter(model,finalAcqGait,
                                                   segmentLabels=["Left Foot","Right Foot","Pelvis"],
                                                    angleLabels=["LFootProgress", "RFootProgress","Pelvis"],
                                                    eulerSequences=["TOR","TOR", "ROT"],
                                                    globalFrameOrientation = globalFrame,
                                                    forwardProgression = forwardProgression).compute(pointLabelSuffix=pointSuffix)

    if model.m_bodypart == enums.BodyPart.LowerLimbTrunk:
            modelFilters.ModelAbsoluteAnglesFilter(model,finalAcqGait,
                                          segmentLabels=["Thorax"],
                                          angleLabels=["Thorax"],
                                          eulerSequences=["YXZ"],
                                          globalFrameOrientation = globalFrame,
                                          forwardProgression = forwardProgression).compute(pointLabelSuffix=pointSuffix)

    if model.m_bodypart == enums.BodyPart.UpperLimb or model.m_bodypart == enums.BodyPart.FullBody:

            modelFilters.ModelAbsoluteAnglesFilter(model,finalAcqGait,
                                          segmentLabels=["Thorax","Head"],
                                          angleLabels=["Thorax", "Head"],
                                          eulerSequences=["YXZ","TOR"],
                                          globalFrameOrientation = globalFrame,
                                          forwardProgression = forwardProgression).compute(pointLabelSuffix=pointSuffix)

    #---- Body segment parameters----
    bspModel = bodySegmentParameters.Bsp(model)
    bspModel.compute()

    if  model.m_bodypart == enums.BodyPart.FullBody:
        modelFilters.CentreOfMassFilter(model,finalAcqGait).compute(pointLabelSuffix=pointSuffix)

    # Inverse dynamics
    if btkTools.checkForcePlateExist(acqGait):
        if model.m_bodypart != enums.BodyPart.UpperLimb:
            # --- force plate handling----
            # find foot  in contact
            mappedForcePlate = forceplates.matchingFootSideOnForceplate(finalAcqGait,mfpa=mfpa)
            forceplates.addForcePlateGeneralEvents(finalAcqGait,mappedForcePlate)
            logging.warning("Manual Force plate assignment : %s" %mappedForcePlate)


            # assembly foot and force plate
            modelFilters.ForcePlateAssemblyFilter(model,finalAcqGait,mappedForcePlate,
                                     leftSegmentLabel="Left Foot",
                                     rightSegmentLabel="Right Foot").compute(pointLabelSuffix=pointSuffix)

            #---- Joint kinetics----
            idp = modelFilters.CGMLowerlimbInverseDynamicProcedure()
            modelFilters.InverseDynamicFilter(model,
                                 finalAcqGait,
                                 procedure = idp,
                                 projection = momentProjection,
                                 globalFrameOrientation = globalFrame,
                                 forwardProgression = forwardProgression
                                 ).compute(pointLabelSuffix=pointSuffix)


            #---- Joint energetics----
            modelFilters.JointPowerFilter(model,finalAcqGait).compute(pointLabelSuffix=pointSuffix)

    #---- zero unvalid frames ---
    btkTools.applyValidFramesOnOutput(finalAcqGait,validFrames)


    return finalAcqGait
Exemple #2
0
def fitting(model, DATA_PATH, reconstructFilenameLabelled, translators,
            markerDiameter, pointSuffix, mfpa, momentProjection, **kwargs):
    """
    Fitting of the CGM1.1

    :param model [str]: pyCGM2 model previously calibrated
    :param DATA_PATH [str]: path to your data
    :param reconstructFilenameLabelled [string list]: c3d files
    :param translators [dict]:  translators to apply
    :param mfpa [str]: manual force plate assignement
    :param markerDiameter [double]: marker diameter (mm)
    :param pointSuffix [str]: suffix to add to model outputs
    :param momentProjection [str]: Coordinate system in which joint moment is expressed

    """
    # --------------------------ACQUISITION ------------------------------------

    # --- btk acquisition ----
    if "forceBtkAcq" in kwargs.keys():
        acqGait = kwargs["forceBtkAcq"]
    else:
        acqGait = btkTools.smartReader(
            (DATA_PATH + reconstructFilenameLabelled))

    btkTools.checkMultipleSubject(acqGait)
    if btkTools.isPointExist(acqGait, "SACR"):
        translators["LPSI"] = "SACR"
        translators["RPSI"] = "SACR"
        logging.info("[pyCGM2] Sacrum marker detected")

    acqGait = btkTools.applyTranslators(acqGait, translators)
    trackingMarkers = model.getTrackingMarkers(acqGait)
    validFrames, vff, vlf = btkTools.findValidFrames(acqGait, trackingMarkers)

    # filtering
    # -----------------------
    if "fc_lowPass_marker" in kwargs.keys(
    ) and kwargs["fc_lowPass_marker"] != 0:
        fc = kwargs["fc_lowPass_marker"]
        order = 4
        if "order_lowPass_marker" in kwargs.keys():
            order = kwargs["order_lowPass_marker"]
        signal_processing.markerFiltering(acqGait,
                                          trackingMarkers,
                                          order=order,
                                          fc=fc)

    if "fc_lowPass_forcePlate" in kwargs.keys(
    ) and kwargs["fc_lowPass_forcePlate"] != 0:
        fc = kwargs["fc_lowPass_forcePlate"]
        order = 4
        if "order_lowPass_forcePlate" in kwargs.keys():
            order = kwargs["order_lowPass_forcePlate"]
        signal_processing.forcePlateFiltering(acqGait, order=order, fc=fc)

    scp = modelFilters.StaticCalibrationProcedure(model)  # procedure

    # ---Motion filter----
    modMotion = modelFilters.ModelMotionFilter(scp,
                                               acqGait,
                                               model,
                                               enums.motionMethod.Determinist,
                                               markerDiameter=markerDiameter)

    modMotion.compute()

    if "displayCoordinateSystem" in kwargs.keys(
    ) and kwargs["displayCoordinateSystem"]:
        csp = modelFilters.ModelCoordinateSystemProcedure(model)
        csdf = modelFilters.CoordinateSystemDisplayFilter(csp, model, acqGait)
        csdf.setStatic(False)
        csdf.display()

    if "NaimKneeCorrection" in kwargs.keys() and kwargs["NaimKneeCorrection"]:

        # Apply Naim 2019 method
        if type(kwargs["NaimKneeCorrection"]) is float:
            nmacp = modelFilters.Naim2019ThighMisaligmentCorrectionProcedure(
                model, "Both", threshold=(kwargs["NaimKneeCorrection"]))
        else:
            nmacp = modelFilters.Naim2019ThighMisaligmentCorrectionProcedure(
                model, "Both")
        mmcf = modelFilters.ModelMotionCorrectionFilter(nmacp)
        mmcf.correct()

        # btkTools.smartAppendPoint(acqGait,"LNaim",mmcf.m_procedure.m_virtual["Left"])
        # btkTools.smartAppendPoint(acqGait,"RNaim",mmcf.m_procedure.m_virtual["Right"])

    #---- Joint kinematics----
    # relative angles
    modelFilters.ModelJCSFilter(model,
                                acqGait).compute(description="vectoriel",
                                                 pointLabelSuffix=pointSuffix)

    # detection of traveling axis + absolute angle
    if model.m_bodypart != enums.BodyPart.UpperLimb:
        pfp = progressionFrame.PelvisProgressionFrameProcedure()
    else:
        pfp = progressionFrame.ThoraxProgressionFrameProcedure()

    pff = progressionFrame.ProgressionFrameFilter(acqGait, pfp)
    pff.compute()
    globalFrame = pff.outputs["globalFrame"]
    forwardProgression = pff.outputs["forwardProgression"]

    if model.m_bodypart != enums.BodyPart.UpperLimb:
        modelFilters.ModelAbsoluteAnglesFilter(
            model,
            acqGait,
            segmentLabels=["Left Foot", "Right Foot", "Pelvis"],
            angleLabels=["LFootProgress", "RFootProgress", "Pelvis"],
            eulerSequences=["TOR", "TOR", "ROT"],
            globalFrameOrientation=globalFrame,
            forwardProgression=forwardProgression).compute(
                pointLabelSuffix=pointSuffix)

    if model.m_bodypart == enums.BodyPart.LowerLimbTrunk:
        modelFilters.ModelAbsoluteAnglesFilter(
            model,
            acqGait,
            segmentLabels=["Thorax"],
            angleLabels=["Thorax"],
            eulerSequences=["YXZ"],
            globalFrameOrientation=globalFrame,
            forwardProgression=forwardProgression).compute(
                pointLabelSuffix=pointSuffix)

    if model.m_bodypart == enums.BodyPart.UpperLimb or model.m_bodypart == enums.BodyPart.FullBody:

        modelFilters.ModelAbsoluteAnglesFilter(
            model,
            acqGait,
            segmentLabels=["Thorax", "Head"],
            angleLabels=["Thorax", "Head"],
            eulerSequences=["YXZ", "TOR"],
            globalFrameOrientation=globalFrame,
            forwardProgression=forwardProgression).compute(
                pointLabelSuffix=pointSuffix)

    #---- Body segment parameters----
    bspModel = bodySegmentParameters.Bsp(model)
    bspModel.compute()

    if model.m_bodypart == enums.BodyPart.FullBody:
        modelFilters.CentreOfMassFilter(
            model, acqGait).compute(pointLabelSuffix=pointSuffix)

    # Inverse dynamics
    if btkTools.checkForcePlateExist(acqGait):
        if model.m_bodypart != enums.BodyPart.UpperLimb:
            # --- force plate handling----
            # find foot  in contact
            mappedForcePlate = forceplates.matchingFootSideOnForceplate(
                acqGait, mfpa=mfpa)
            forceplates.addForcePlateGeneralEvents(acqGait, mappedForcePlate)
            logging.warning("Manual Force plate assignment : %s" %
                            mappedForcePlate)

            # assembly foot and force plate
            modelFilters.ForcePlateAssemblyFilter(
                model,
                acqGait,
                mappedForcePlate,
                leftSegmentLabel="Left Foot",
                rightSegmentLabel="Right Foot").compute(
                    pointLabelSuffix=pointSuffix)

            #---- Joint kinetics----
            idp = modelFilters.CGMLowerlimbInverseDynamicProcedure()
            modelFilters.InverseDynamicFilter(
                model,
                acqGait,
                procedure=idp,
                projection=momentProjection,
                globalFrameOrientation=globalFrame,
                forwardProgression=forwardProgression).compute(
                    pointLabelSuffix=pointSuffix)

            #---- Joint energetics----
            modelFilters.JointPowerFilter(
                model, acqGait).compute(pointLabelSuffix=pointSuffix)

    #---- zero unvalid frames ---
    btkTools.applyValidFramesOnOutput(acqGait, validFrames)

    return acqGait
Exemple #3
0
def fitting(model,DATA_PATH, reconstructFilenameLabelled,
    translators,settings,
    ik_flag,markerDiameter,
    pointSuffix,
    mfpa,
    momentProjection):

    # --- btk acquisition ----
    acqGait = btkTools.smartReader(str(DATA_PATH + reconstructFilenameLabelled))

    btkTools.checkMultipleSubject(acqGait)

    acqGait =  btkTools.applyTranslators(acqGait,translators)
    validFrames,vff,vlf = btkTools.findValidFrames(acqGait,cgm2.CGM2_4LowerLimbs.TRACKING_MARKERS)



    # --- initial motion Filter ---
    scp=modelFilters.StaticCalibrationProcedure(model)
    modMotion=modelFilters.ModelMotionFilter(scp,acqGait,model,enums.motionMethod.Sodervisk)
    modMotion.compute()

    if ik_flag:
        #                        ---OPENSIM IK---

        # --- opensim calibration Filter ---
        osimfile = pyCGM2.OPENSIM_PREBUILD_MODEL_PATH + "models\\osim\\lowerLimb_ballsJoints.osim"    # osimfile
        markersetFile = pyCGM2.OPENSIM_PREBUILD_MODEL_PATH + "models\\settings\\cgm2_4\\cgm2_4-markerset.xml" # markerset
        cgmCalibrationprocedure = opensimFilters.CgmOpensimCalibrationProcedures(model) # procedure

        oscf = opensimFilters.opensimCalibrationFilter(osimfile,
                                                model,
                                                cgmCalibrationprocedure,
                                                str(DATA_PATH))
        oscf.addMarkerSet(markersetFile)
        scalingOsim = oscf.build()


        # --- opensim Fitting Filter ---
        iksetupFile = pyCGM2.OPENSIM_PREBUILD_MODEL_PATH + "models\\settings\\cgm2_4\\cgm2_4-ikSetUp_template.xml" # ik tl file

        cgmFittingProcedure = opensimFilters.CgmOpensimFittingProcedure(model) # procedure
        cgmFittingProcedure.updateMarkerWeight("LASI",settings["Fitting"]["Weight"]["LASI"])
        cgmFittingProcedure.updateMarkerWeight("RASI",settings["Fitting"]["Weight"]["RASI"])
        cgmFittingProcedure.updateMarkerWeight("LPSI",settings["Fitting"]["Weight"]["LPSI"])
        cgmFittingProcedure.updateMarkerWeight("RPSI",settings["Fitting"]["Weight"]["RPSI"])
        cgmFittingProcedure.updateMarkerWeight("RTHI",settings["Fitting"]["Weight"]["RTHI"])
        cgmFittingProcedure.updateMarkerWeight("RKNE",settings["Fitting"]["Weight"]["RKNE"])
        cgmFittingProcedure.updateMarkerWeight("RTIB",settings["Fitting"]["Weight"]["RTIB"])
        cgmFittingProcedure.updateMarkerWeight("RANK",settings["Fitting"]["Weight"]["RANK"])
        cgmFittingProcedure.updateMarkerWeight("RHEE",settings["Fitting"]["Weight"]["RHEE"])
        cgmFittingProcedure.updateMarkerWeight("RTOE",settings["Fitting"]["Weight"]["RTOE"])

        cgmFittingProcedure.updateMarkerWeight("LTHI",settings["Fitting"]["Weight"]["LTHI"])
        cgmFittingProcedure.updateMarkerWeight("LKNE",settings["Fitting"]["Weight"]["LKNE"])
        cgmFittingProcedure.updateMarkerWeight("LTIB",settings["Fitting"]["Weight"]["LTIB"])
        cgmFittingProcedure.updateMarkerWeight("LANK",settings["Fitting"]["Weight"]["LANK"])
        cgmFittingProcedure.updateMarkerWeight("LHEE",settings["Fitting"]["Weight"]["LHEE"])
        cgmFittingProcedure.updateMarkerWeight("LTOE",settings["Fitting"]["Weight"]["LTOE"])


        cgmFittingProcedure.updateMarkerWeight("LTHAP",settings["Fitting"]["Weight"]["LTHAP"])
        cgmFittingProcedure.updateMarkerWeight("LTHAD",settings["Fitting"]["Weight"]["LTHAD"])
        cgmFittingProcedure.updateMarkerWeight("LTIAP",settings["Fitting"]["Weight"]["LTIAP"])
        cgmFittingProcedure.updateMarkerWeight("LTIAD",settings["Fitting"]["Weight"]["LTIAD"])
        cgmFittingProcedure.updateMarkerWeight("RTHAP",settings["Fitting"]["Weight"]["RTHAP"])
        cgmFittingProcedure.updateMarkerWeight("RTHAD",settings["Fitting"]["Weight"]["RTHAD"])
        cgmFittingProcedure.updateMarkerWeight("RTIAP",settings["Fitting"]["Weight"]["RTIAP"])
        cgmFittingProcedure.updateMarkerWeight("RTIAD",settings["Fitting"]["Weight"]["RTIAD"])

        cgmFittingProcedure.updateMarkerWeight("LSMH",settings["Fitting"]["Weight"]["LSMH"])
        cgmFittingProcedure.updateMarkerWeight("LFMH",settings["Fitting"]["Weight"]["LFMH"])
        cgmFittingProcedure.updateMarkerWeight("LVMH",settings["Fitting"]["Weight"]["LVMH"])

        cgmFittingProcedure.updateMarkerWeight("RSMH",settings["Fitting"]["Weight"]["RSMH"])
        cgmFittingProcedure.updateMarkerWeight("RFMH",settings["Fitting"]["Weight"]["RFMH"])
        cgmFittingProcedure.updateMarkerWeight("RVMH",settings["Fitting"]["Weight"]["RVMH"])


#       cgmFittingProcedure.updateMarkerWeight("LTHL",settings["Fitting"]["Weight"]["LTHL"])
#       cgmFittingProcedure.updateMarkerWeight("LTHLD",settings["Fitting"]["Weight"]["LTHLD"])
#       cgmFittingProcedure.updateMarkerWeight("LPAT",settings["Fitting"]["Weight"]["LPAT"])
#       cgmFittingProcedure.updateMarkerWeight("LTIBL",settings["Fitting"]["Weight"]["LTIBL"])
#       cgmFittingProcedure.updateMarkerWeight("RTHL",settings["Fitting"]["Weight"]["RTHL"])
#       cgmFittingProcedure.updateMarkerWeight("RTHLD",settings["Fitting"]["Weight"]["RTHLD"])
#       cgmFittingProcedure.updateMarkerWeight("RPAT",settings["Fitting"]["Weight"]["RPAT"])
#       cgmFittingProcedure.updateMarkerWeight("RTIBL",settings["Fitting"]["Weight"]["RTIBL"])


        osrf = opensimFilters.opensimFittingFilter(iksetupFile,
                                                          scalingOsim,
                                                          cgmFittingProcedure,
                                                          str(DATA_PATH) )

        logging.info("-------INVERSE KINEMATICS IN PROGRESS----------")
        acqIK = osrf.run(acqGait,str(DATA_PATH + reconstructFilenameLabelled ))
        logging.info("-------INVERSE KINEMATICS DONE-----------------")



    # eventual gait acquisition to consider for joint kinematics
    finalAcqGait = acqIK if ik_flag else acqGait

    # --- final pyCGM2 model motion Filter ---
    # use fitted markers
    modMotionFitted=modelFilters.ModelMotionFilter(scp,finalAcqGait,model,enums.motionMethod.Sodervisk ,
                                              markerDiameter=markerDiameter)

    modMotionFitted.compute()


    #---- Joint kinematics----
    # relative angles
    modelFilters.ModelJCSFilter(model,finalAcqGait).compute(description="vectoriel", pointLabelSuffix=pointSuffix)

    # detection of traveling axis
    longitudinalAxis,forwardProgression,globalFrame = btkTools.findProgressionAxisFromPelvicMarkers(finalAcqGait,["LASI","LPSI","RASI","RPSI"])


    # absolute angles
    modelFilters.ModelAbsoluteAnglesFilter(model,finalAcqGait,
                                           segmentLabels=["Left Foot","Right Foot","Pelvis"],
                                            angleLabels=["LFootProgress", "RFootProgress","Pelvis"],
                                            eulerSequences=["TOR","TOR", "ROT"],
                                            globalFrameOrientation = globalFrame,
                                            forwardProgression = forwardProgression).compute(pointLabelSuffix=pointSuffix)

    #---- Body segment parameters----
    bspModel = bodySegmentParameters.Bsp(model)
    bspModel.compute()

    # --- force plate handling----
    # find foot  in contact
    mappedForcePlate = forceplates.matchingFootSideOnForceplate(finalAcqGait)
    forceplates.addForcePlateGeneralEvents(finalAcqGait,mappedForcePlate)
    logging.info("Force plate assignment : %s" %mappedForcePlate)

    if mfpa is not None:
        if len(mfpa) != len(mappedForcePlate):
            raise Exception("[pyCGM2] manual force plate assignment badly sets. Wrong force plate number. %s force plate require" %(str(len(mappedForcePlate))))
        else:
            mappedForcePlate = mfpa
            forceplates.addForcePlateGeneralEvents(finalAcqGait,mappedForcePlate)
            logging.warning("Manual Force plate assignment : %s" %mappedForcePlate)

    # assembly foot and force plate
    modelFilters.ForcePlateAssemblyFilter(model,finalAcqGait,mappedForcePlate,
                             leftSegmentLabel="Left Foot",
                             rightSegmentLabel="Right Foot").compute()

    #---- Joint kinetics----
    idp = modelFilters.CGMLowerlimbInverseDynamicProcedure()
    modelFilters.InverseDynamicFilter(model,
                         finalAcqGait,
                         procedure = idp,
                         projection = momentProjection
                         ).compute(pointLabelSuffix=pointSuffix)

    #---- Joint energetics----
    modelFilters.JointPowerFilter(model,finalAcqGait).compute(pointLabelSuffix=pointSuffix)

    #---- zero unvalid frames ---
    btkTools.applyValidFramesOnOutput(finalAcqGait,validFrames)



    return finalAcqGait
Exemple #4
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def fitting(model, DATA_PATH, reconstructFilenameLabelled, translators,
            markerDiameter, pointSuffix, mfpa, momentProjection):

    # --------------------------ACQUISITION ------------------------------------

    # --- btk acquisition ----
    acqGait = btkTools.smartReader(str(DATA_PATH +
                                       reconstructFilenameLabelled))

    btkTools.checkMultipleSubject(acqGait)
    acqGait = btkTools.applyTranslators(acqGait, translators)
    validFrames, vff, vlf = btkTools.findValidFrames(
        acqGait, cgm.CGM1LowerLimbs.TRACKING_MARKERS)

    scp = modelFilters.StaticCalibrationProcedure(model)
    # ---Motion filter----
    modMotion = modelFilters.ModelMotionFilter(scp,
                                               acqGait,
                                               model,
                                               enums.motionMethod.Determinist,
                                               markerDiameter=markerDiameter)

    modMotion.compute()

    #---- Joint kinematics----
    # relative angles
    modelFilters.ModelJCSFilter(model,
                                acqGait).compute(description="vectoriel",
                                                 pointLabelSuffix=pointSuffix)

    # detection of traveling axis
    longitudinalAxis, forwardProgression, globalFrame = btkTools.findProgressionAxisFromPelvicMarkers(
        acqGait, ["LASI", "LPSI", "RASI", "RPSI"])

    # absolute angles
    modelFilters.ModelAbsoluteAnglesFilter(
        model,
        acqGait,
        segmentLabels=["Left Foot", "Right Foot", "Pelvis"],
        angleLabels=["LFootProgress", "RFootProgress", "Pelvis"],
        eulerSequences=["TOR", "TOR", "ROT"],
        globalFrameOrientation=globalFrame,
        forwardProgression=forwardProgression).compute(
            pointLabelSuffix=pointSuffix)

    #---- Body segment parameters----
    bspModel = bodySegmentParameters.Bsp(model)
    bspModel.compute()

    # --- force plate handling----
    # find foot  in contact
    mappedForcePlate = forceplates.matchingFootSideOnForceplate(acqGait)
    forceplates.addForcePlateGeneralEvents(acqGait, mappedForcePlate)
    logging.info("Automatic Force plate assignment : %s" % mappedForcePlate)

    if mfpa is not None:
        if len(mfpa) != len(mappedForcePlate):
            raise Exception(
                "[pyCGM2] manual force plate assignment badly sets. Wrong force plate number. %s force plate require"
                % (str(len(mappedForcePlate))))
        else:
            mappedForcePlate = mfpa
            forceplates.addForcePlateGeneralEvents(acqGait, mappedForcePlate)
            logging.warning("Manual Force plate assignment : %s" %
                            mappedForcePlate)

    # assembly foot and force plate
    modelFilters.ForcePlateAssemblyFilter(
        model,
        acqGait,
        mappedForcePlate,
        leftSegmentLabel="Left Foot",
        rightSegmentLabel="Right Foot").compute()

    #---- Joint kinetics----
    idp = modelFilters.CGMLowerlimbInverseDynamicProcedure()
    modelFilters.InverseDynamicFilter(
        model, acqGait, procedure=idp,
        projection=momentProjection).compute(pointLabelSuffix=pointSuffix)

    #---- Joint energetics----
    modelFilters.JointPowerFilter(
        model, acqGait).compute(pointLabelSuffix=pointSuffix)

    #---- zero unvalid frames ---
    btkTools.applyValidFramesOnOutput(acqGait, validFrames)

    return acqGait
Exemple #5
0
def fitting(model, DATA_PATH, reconstructFilenameLabelled, translators,
            markerDiameter, pointSuffix, mfpa, momentProjection, **kwargs):
    """
    Fitting of the CGM1

    :param model [str]: pyCGM2 model previously calibrated
    :param DATA_PATH [str]: path to your data
    :param reconstructFilenameLabelled [string list]: c3d files
    :param translators [dict]:  translators to apply
    :param mfpa [str]: manual force plate assignement
    :param markerDiameter [double]: marker diameter (mm)
    :param pointSuffix [str]: suffix to add to model outputs
    :param momentProjection [str]: Coordinate system in which joint moment is expressed

    """

    # --------------------------ACQUISITION ------------------------------------

    if "forceBtkAcq" in kwargs.keys():
        acqGait = kwargs["forceBtkAcq"]
    else:
        # --- btk acquisition ----
        acqGait = btkTools.smartReader(
            str(DATA_PATH + reconstructFilenameLabelled))

    btkTools.checkMultipleSubject(acqGait)
    acqGait = btkTools.applyTranslators(acqGait, translators)
    trackingMarkers = model.getTrackingMarkers()
    validFrames, vff, vlf = btkTools.findValidFrames(acqGait, trackingMarkers)

    scp = modelFilters.StaticCalibrationProcedure(model)  # procedure

    # ---Motion filter----
    modMotion = modelFilters.ModelMotionFilter(scp,
                                               acqGait,
                                               model,
                                               enums.motionMethod.Determinist,
                                               markerDiameter=markerDiameter,
                                               viconCGM1compatible=True)

    modMotion.compute()

    if "displayCoordinateSystem" in kwargs.keys(
    ) and kwargs["displayCoordinateSystem"]:
        csp = modelFilters.ModelCoordinateSystemProcedure(model)
        csdf = modelFilters.CoordinateSystemDisplayFilter(csp, model, acqGait)
        csdf.setStatic(False)
        csdf.display()

    #---- Joint kinematics----
    # relative angles
    modelFilters.ModelJCSFilter(model,
                                acqGait).compute(description="vectoriel",
                                                 pointLabelSuffix=pointSuffix)

    # detection of traveling axis + absolute angle
    if model.m_bodypart != enums.BodyPart.UpperLimb:
        longitudinalAxis, forwardProgression, globalFrame = btkTools.findProgressionAxisFromPelvicMarkers(
            acqGait, ["LASI", "LPSI", "RASI", "RPSI"])
    else:
        longitudinalAxis, forwardProgression, globalFrame = btkTools.findProgressionAxisFromLongAxis(
            acqGait, "C7", "CLAV")

    if model.m_bodypart != enums.BodyPart.UpperLimb:
        modelFilters.ModelAbsoluteAnglesFilter(
            model,
            acqGait,
            segmentLabels=["Left Foot", "Right Foot", "Pelvis"],
            angleLabels=["LFootProgress", "RFootProgress", "Pelvis"],
            eulerSequences=["TOR", "TOR", "TOR"],
            globalFrameOrientation=globalFrame,
            forwardProgression=forwardProgression).compute(
                pointLabelSuffix=pointSuffix)

    if model.m_bodypart == enums.BodyPart.LowerLimbTrunk:
        modelFilters.ModelAbsoluteAnglesFilter(
            model,
            acqGait,
            segmentLabels=["Thorax"],
            angleLabels=["Thorax"],
            eulerSequences=["YXZ"],
            globalFrameOrientation=globalFrame,
            forwardProgression=forwardProgression).compute(
                pointLabelSuffix=pointSuffix)

    if model.m_bodypart == enums.BodyPart.UpperLimb or model.m_bodypart == enums.BodyPart.FullBody:

        modelFilters.ModelAbsoluteAnglesFilter(
            model,
            acqGait,
            segmentLabels=["Thorax", "Head"],
            angleLabels=["Thorax", "Head"],
            eulerSequences=["YXZ", "TOR"],
            globalFrameOrientation=globalFrame,
            forwardProgression=forwardProgression).compute(
                pointLabelSuffix=pointSuffix)

    #---- Body segment parameters----
    bspModel = bodySegmentParameters.Bsp(model)
    bspModel.compute()

    #---- CentreOfMass----
    if model.m_bodypart == enums.BodyPart.FullBody:
        modelFilters.CentreOfMassFilter(
            model, acqGait).compute(pointLabelSuffix=pointSuffix)

    # Inverse dynamics
    if model.m_bodypart != enums.BodyPart.UpperLimb:
        # --- force plate handling----
        # find foot  in contact
        mappedForcePlate = forceplates.matchingFootSideOnForceplate(acqGait,
                                                                    mfpa=mfpa)
        forceplates.addForcePlateGeneralEvents(acqGait, mappedForcePlate)
        logging.warning("Manual Force plate assignment : %s" %
                        mappedForcePlate)

        # assembly foot and force plate
        modelFilters.ForcePlateAssemblyFilter(
            model,
            acqGait,
            mappedForcePlate,
            leftSegmentLabel="Left Foot",
            rightSegmentLabel="Right Foot").compute()

        #---- Joint kinetics----
        idp = modelFilters.CGMLowerlimbInverseDynamicProcedure()
        modelFilters.InverseDynamicFilter(
            model,
            acqGait,
            procedure=idp,
            projection=momentProjection,
            viconCGM1compatible=True).compute(pointLabelSuffix=pointSuffix)

        #---- Joint energetics----
        modelFilters.JointPowerFilter(
            model, acqGait).compute(pointLabelSuffix=pointSuffix)

    #---- zero unvalid frames ---
    btkTools.applyValidFramesOnOutput(acqGait, validFrames)

    return acqGait
Exemple #6
0
def fitting(model, DATA_PATH, reconstructFilenameLabelled, translators,
            settings, markerDiameter, pointSuffix, mfpa, momentProjection,
            **kwargs):
    """
    Fitting of the CGM2.2

    :param model [str]: pyCGM2 model previously calibrated
    :param DATA_PATH [str]: path to your data
    :param reconstructFilenameLabelled [string list]: c3d files
    :param translators [dict]:  translators to apply
    :param mfpa [str]: manual force plate assignement
    :param markerDiameter [double]: marker diameter (mm)
    :param pointSuffix [str]: suffix to add to model outputs
    :param momentProjection [str]: Coordinate system in which joint moment is expressed
    """

    # --------------------------ACQUISITION ------------------------------------

    # --- btk acquisition ----
    if "forceBtkAcq" in kwargs.keys():
        acqGait = kwargs["forceBtkAcq"]
    else:
        acqGait = btkTools.smartReader(
            str(DATA_PATH + reconstructFilenameLabelled))

    btkTools.checkMultipleSubject(acqGait)
    acqGait = btkTools.applyTranslators(acqGait, translators)
    trackingMarkers = model.getTrackingMarkers()
    validFrames, vff, vlf = btkTools.findValidFrames(acqGait, trackingMarkers)

    # --- initial motion Filter ---
    scp = modelFilters.StaticCalibrationProcedure(model)
    modMotion = modelFilters.ModelMotionFilter(scp, acqGait, model,
                                               enums.motionMethod.Determinist)
    modMotion.compute()

    #                        ---OPENSIM IK---

    # --- opensim calibration Filter ---
    osimfile = pyCGM2.OPENSIM_PREBUILD_MODEL_PATH + "models\\osim\\lowerLimb_ballsJoints.osim"  # osimfile
    markersetFile = pyCGM2.OPENSIM_PREBUILD_MODEL_PATH + "models\\settings\\cgm1\\cgm1-markerset.xml"  # markerset
    cgmCalibrationprocedure = opensimFilters.CgmOpensimCalibrationProcedures(
        model)  # procedure

    oscf = opensimFilters.opensimCalibrationFilter(osimfile, model,
                                                   cgmCalibrationprocedure,
                                                   str(DATA_PATH))
    oscf.addMarkerSet(markersetFile)
    scalingOsim = oscf.build()

    # --- opensim Fitting Filter ---
    iksetupFile = pyCGM2.OPENSIM_PREBUILD_MODEL_PATH + "models\\settings\\cgm1\\cgm1-ikSetUp_template.xml"  # ik tool file

    cgmFittingProcedure = opensimFilters.CgmOpensimFittingProcedure(
        model)  # procedure
    cgmFittingProcedure.updateMarkerWeight(
        "LASI", settings["Fitting"]["Weight"]["LASI"])
    cgmFittingProcedure.updateMarkerWeight(
        "RASI", settings["Fitting"]["Weight"]["RASI"])
    cgmFittingProcedure.updateMarkerWeight(
        "LPSI", settings["Fitting"]["Weight"]["LPSI"])
    cgmFittingProcedure.updateMarkerWeight(
        "RPSI", settings["Fitting"]["Weight"]["RPSI"])
    cgmFittingProcedure.updateMarkerWeight(
        "RTHI", settings["Fitting"]["Weight"]["RTHI"])
    cgmFittingProcedure.updateMarkerWeight(
        "RKNE", settings["Fitting"]["Weight"]["RKNE"])
    cgmFittingProcedure.updateMarkerWeight(
        "RTIB", settings["Fitting"]["Weight"]["RTIB"])
    cgmFittingProcedure.updateMarkerWeight(
        "RANK", settings["Fitting"]["Weight"]["RANK"])
    cgmFittingProcedure.updateMarkerWeight(
        "RHEE", settings["Fitting"]["Weight"]["RHEE"])
    cgmFittingProcedure.updateMarkerWeight(
        "RTOE", settings["Fitting"]["Weight"]["RTOE"])
    cgmFittingProcedure.updateMarkerWeight(
        "LTHI", settings["Fitting"]["Weight"]["LTHI"])
    cgmFittingProcedure.updateMarkerWeight(
        "LKNE", settings["Fitting"]["Weight"]["LKNE"])
    cgmFittingProcedure.updateMarkerWeight(
        "LTIB", settings["Fitting"]["Weight"]["LTIB"])
    cgmFittingProcedure.updateMarkerWeight(
        "LANK", settings["Fitting"]["Weight"]["LANK"])
    cgmFittingProcedure.updateMarkerWeight(
        "LHEE", settings["Fitting"]["Weight"]["LHEE"])
    cgmFittingProcedure.updateMarkerWeight(
        "LTOE", settings["Fitting"]["Weight"]["LTOE"])

    osrf = opensimFilters.opensimFittingFilter(iksetupFile, scalingOsim,
                                               cgmFittingProcedure,
                                               str(DATA_PATH))

    logging.info("-------INVERSE KINEMATICS IN PROGRESS----------")
    acqIK = osrf.run(acqGait, str(DATA_PATH + reconstructFilenameLabelled))
    logging.info("-------INVERSE KINEMATICS DONE-----------------")

    # --- final pyCGM2 model motion Filter ---
    # use fitted markers
    modMotionFitted = modelFilters.ModelMotionFilter(
        scp,
        acqIK,
        model,
        enums.motionMethod.Determinist,
        markerDiameter=markerDiameter)

    modMotionFitted.compute()

    if "displayCoordinateSystem" in kwargs.keys(
    ) and kwargs["displayCoordinateSystem"]:
        csp = modelFilters.ModelCoordinateSystemProcedure(model)
        csdf = modelFilters.CoordinateSystemDisplayFilter(csp, model, acqIK)
        csdf.setStatic(False)
        csdf.display()

    #---- Joint kinematics----
    # relative angles
    modelFilters.ModelJCSFilter(model,
                                acqIK).compute(description="vectoriel",
                                               pointLabelSuffix=pointSuffix)

    # detection of traveling axis + absolute angle
    if model.m_bodypart != enums.BodyPart.UpperLimb:
        longitudinalAxis, forwardProgression, globalFrame = btkTools.findProgressionAxisFromPelvicMarkers(
            acqIK, ["LASI", "LPSI", "RASI", "RPSI"])
    else:
        longitudinalAxis, forwardProgression, globalFrame = btkTools.findProgressionAxisFromLongAxis(
            acqIK, "C7", "CLAV")

    if model.m_bodypart != enums.BodyPart.UpperLimb:
        modelFilters.ModelAbsoluteAnglesFilter(
            model,
            acqIK,
            segmentLabels=["Left Foot", "Right Foot", "Pelvis"],
            angleLabels=["LFootProgress", "RFootProgress", "Pelvis"],
            eulerSequences=["TOR", "TOR", "ROT"],
            globalFrameOrientation=globalFrame,
            forwardProgression=forwardProgression).compute(
                pointLabelSuffix=pointSuffix)

    if model.m_bodypart == enums.BodyPart.LowerLimbTrunk:
        modelFilters.ModelAbsoluteAnglesFilter(
            model,
            acqIK,
            segmentLabels=["Thorax"],
            angleLabels=["Thorax"],
            eulerSequences=["YXZ"],
            globalFrameOrientation=globalFrame,
            forwardProgression=forwardProgression).compute(
                pointLabelSuffix=pointSuffix)

    if model.m_bodypart == enums.BodyPart.UpperLimb or model.m_bodypart == enums.BodyPart.FullBody:

        modelFilters.ModelAbsoluteAnglesFilter(
            model,
            acqIK,
            segmentLabels=["Thorax", "Head"],
            angleLabels=["Thorax", "Head"],
            eulerSequences=["YXZ", "TOR"],
            globalFrameOrientation=globalFrame,
            forwardProgression=forwardProgression).compute(
                pointLabelSuffix=pointSuffix)

    #---- Body segment parameters----
    bspModel = bodySegmentParameters.Bsp(model)
    bspModel.compute()

    if model.m_bodypart == enums.BodyPart.FullBody:
        modelFilters.CentreOfMassFilter(
            model, acqIK).compute(pointLabelSuffix=pointSuffix)

    # Inverse dynamics
    if model.m_bodypart != enums.BodyPart.UpperLimb:
        # --- force plate handling----
        # find foot  in contact
        mappedForcePlate = forceplates.matchingFootSideOnForceplate(acqIK,
                                                                    mfpa=mfpa)
        forceplates.addForcePlateGeneralEvents(acqIK, mappedForcePlate)
        logging.warning("Manual Force plate assignment : %s" %
                        mappedForcePlate)

        # assembly foot and force plate
        modelFilters.ForcePlateAssemblyFilter(
            model,
            acqIK,
            mappedForcePlate,
            leftSegmentLabel="Left Foot",
            rightSegmentLabel="Right Foot").compute()

        #---- Joint kinetics----
        idp = modelFilters.CGMLowerlimbInverseDynamicProcedure()
        modelFilters.InverseDynamicFilter(
            model,
            acqIK,
            procedure=idp,
            projection=momentProjection,
        ).compute(pointLabelSuffix=pointSuffix)

        #---- Joint energetics----
        modelFilters.JointPowerFilter(
            model, acqIK).compute(pointLabelSuffix=pointSuffix)

    #---- zero unvalid frames ---
    btkTools.applyValidFramesOnOutput(acqIK, validFrames)

    return acqIK