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Delft University of Technology Identification of Joint Impedance Erwin de Vlugt, PhD tools for understanding the human motion system, treatment selection and evaluation Lecture 12 SIPE 2010 Case Studies

Identification of Joint Impedance...• Mechanical energy transfer to the biological system • Measurement of forces and movement Robots for System Identification. Delft University

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  • DelftUniversity ofTechnology

    Identification of Joint Impedance

    Erwin de Vlugt, PhD

    tools for understanding the human motion system,treatment selection and evaluation

    Lecture 12 SIPE 2010Case Studies

  • DelftUniversity ofTechnology

    Delft-Leiden Research Connection

    Frans van der Helm, Erwin de Vlugt, Alfred Schouten, Herman van der Kooij, David Abbink, Riender Happee, Winfred Mugge, Alistair Vardy, Judith Visser, Stijnvan Eesbeek

    Mission: development of SIPE technology to analyze the human neuromuscular control system

    Laboratory for Kinematicsand Neuromechanics

    Hans Arendzen, Jurriaan de Groot, CarelMeskers, Frans Steenbrink, Erwin de Vlugt, Asbjorn Klomp, Hanneke van derKrogt, Andrea Maier, Bob van Hilten, Rob Nelissen

    Mission: application and validation of SIPE technology in the clinical practice to improve efficacy of intervention

  • DelftUniversity ofTechnology

    • Mechanical energy transfer to the biological system

    • Measurement of forces and movement

    Robots for System Identification

    http://fogonazos.blogspot.com/2006/12/la-ertica-del-robot_26.html

  • DelftUniversity ofTechnology

    Robots for System Identification

    - Natural tasks- Perturbations - Closed loop- Interpretable

    parameters

  • DelftUniversity ofTechnology

    System Identification & Parameter Estimation (SI-PE)

    Physical Systeminput output

    Identification(SI)

    minimal a prioriknowledge required

    System Behavior

    Parameterization(PE)

    A priori knowledgerequired

    Physical Properties

  • DelftUniversity ofTechnology

    Three case studies

    1. Linear SIPE: intrinsic and reflexive properties of the shoulder (1DOF)

    2. Linear SIPE: … but now for 3DOF (shoulder, elbow, wrist)

    3. Nonlinear PE: intrinsic and reflexive torque of the ankle in stroke

  • DelftUniversity ofTechnology

    Linear systems: Frequency domain analysis of mass-damper-spring

    2

    1

    2

    ( )H sMs Bs K

    s fπ

    =+ +

    =

    10-1 100 101

    10-4

    10-3

    Gai

    n

    10-1 100 101

    -150

    -100

    -50

    Frequency [Hz]

    Pha

    se [d

    eg]

    Stiffness Damping Mass

    • H is causal• H is an admittance

    0

    2

    KMBKM

    ω

    β

    =

    =

  • DelftUniversity ofTechnology

    OptimalAdmittance Control

    • Simulations indicate that contribution of reflexes decrease with frequency of torque input.

    De Vlugt et al. 2001

  • DelftUniversity ofTechnology

    Short Intro toOptimal Admittance Control

    Joint Admittance• is the dynamic relationship between joint angle and joint torque• the result of visco-elasticity and torque generated by reflexes• important for posture maintenance

    Research Questions• does admittance depend on the dynamic properties of external

    load, e.g. damping ?• how does admittance change with joint angle?

  • DelftUniversity ofTechnology

    Case 1: 1DOF shoulder joint control

  • DelftUniversity ofTechnology

    Recordings

  • DelftUniversity ofTechnology

    Procedures

    • External damping BE: 0 – 400 Ns/m• External mass ME: 0.6 – 10 kg• Unpredictable force disturbances

    • 40 s (0.1-20 Hz)• Grip displacements ≈ 3 mm (SD)• EMG of four shoulder muscles• n=5 (healthy)

  • DelftUniversity ofTechnology

    Force perturbations: closed loop

    EnvironmentΣF

    ΣXREF

    D

    -

    XεHuman

  • DelftUniversity ofTechnology

    Force perturbations: closed loop

    NeuralDelay

    Activation

    MuscleSpindles

    Intrinsic Arm

    Environment

    pv kk +sDTe s−

    1+sA1

    τ kbm1

    2 ++ ssΣ

    F

    ΣXREF

    D

    Σ

    X

    -

    -

    Human Arm

    A

    EEkb +sL+

    2

    Em s

  • DelftUniversity ofTechnology

    SI Results: Frequency Response Functions

    damper offdamper on

  • DelftUniversity ofTechnology

    Parameter Estimation (PE)

    D

    Fhand

    Xhand

    Linear Endpoint Model

    FRF Estimation

    Parameter Fit

    FRF Simulation

    Hold position

  • DelftUniversity ofTechnology

    PE Results: stretch reflex estimates

    De Vlugt et al. 2002

  • DelftUniversity ofTechnology

    Results: optimized stretch reflex

  • DelftUniversity ofTechnology

    Reflexive Admittance Control: no environment

  • DelftUniversity ofTechnology

    Reflexive Admittance Control: with External Damper

  • DelftUniversity ofTechnology

    Case 2: SIPE in the 3DOF Shoulder

  • DelftUniversity ofTechnology

    2DOF FRFs

    datamodel

  • DelftUniversity ofTechnology

    PE Result: intrinsic parameters

    De Vlugt et al. 2006

  • DelftUniversity ofTechnology

    Stiffness Ellipses

    datamodel

    reflexes turned of / turned on

  • DelftUniversity ofTechnology

    Case 3: Nonlinear case: Ramp-hold Ankle rotation in stroke

    De Vlugt et al. 2010

  • DelftUniversity ofTechnology

    Nonlinear case: Ramp-hold Ankle rotation

    • stroke (n = 19)

    Goal:• estimate passive visco-elasticity

    and stretch reflex dynamics andcompare to Ashworth Scale

  • DelftUniversity ofTechnology

    Direct Physical Parameterization

  • DelftUniversity ofTechnology

    No Identification, Direct Parameterization

    direct parameterization of anonlinear model in time domain

    Parameters:• inertia• tissue viscosity• tissue elasticity• activation dynamics• contractile dynamics

  • DelftUniversity ofTechnology

    Main Result

    • Detailed parameterizationpossible:- Accurate (VAF > 90%)- Valid (low parameter SEM)

    • Viscosity decreased withmovement velocity

    • Passive stiffness correlatedto Ashworth Scale

  • DelftUniversity ofTechnology

    Challenges: SIPE during movement

    • Time Varying Joint Admittance• Wavelets and subspace techniques• Collaboration between the fac. of 3ME (DCSC, BMechE) and

    Aerospace Eng.

  • DelftUniversity ofTechnology

    Summary

    • Linear behavior: frequency domain can be used and provides direct qualitative information about the human joint dynamics.

    • Nonlinear behavior: time domain analysis by direct parameterization of a physical nonlinear model of the human joint.

    • Towards Time Varying System Identification….

  • DelftUniversity ofTechnology

    Graduate Student Master Projects

    • Master Projects at NMC Lab involves a mixture of SIPE, physiology and clinical issues

    • Many (international) opportunities for Graduate Students• internship (stage), preferably outside the Netherlands• fundamental projects: TUD• clinical projects: LUMC, Erasmus MC, VUMC

    Identification of Joint ImpedanceDelft-Leiden Research ConnectionRobots for System IdentificationRobots for System IdentificationSystem Identification & Parameter Estimation (SI-PE)Three case studiesLinear systems: Frequency domain analysis of mass-damper-springOptimal�Admittance ControlShort Intro to�Optimal Admittance ControlCase 1: 1DOF shoulder joint controlRecordingsProceduresForce perturbations: closed loopForce perturbations: closed loopSI Results: Frequency Response FunctionsParameter Estimation (PE)PE Results: stretch reflex estimatesResults: optimized stretch reflexReflexive Admittance Control: no environmentReflexive Admittance Control: with External DamperCase 2: SIPE in the 3DOF Shoulder2DOF FRFsPE Result: intrinsic parametersStiffness EllipsesCase 3: Nonlinear case: Ramp-hold Ankle rotation in strokeNonlinear case: Ramp-hold Ankle rotationDirect Physical ParameterizationNo Identification, Direct Parameterization Main ResultChallenges: SIPE during movementSummaryGraduate Student Master Projects