• DocumentCode
    1471851
  • Title

    Quantification of the UPDRS rigidity scale

  • Author

    Patrick, Susan K. ; Denington, Allen A. ; Gauthier, Michel J A ; Gillard, Deborah M. ; Prochazka, Arthur

  • Author_Institution
    Div. of Neurosci., Alberta Univ., Edmonton, Alta., Canada
  • Volume
    9
  • Issue
    1
  • fYear
    2001
  • fDate
    3/1/2001 12:00:00 AM
  • Firstpage
    31
  • Lastpage
    41
  • Abstract
    In the clinical setting, Parkinsonian rigidity is assessed using subjective rating scales such as that of the Unified Parkinson´s Disease Rating System (UPDRS). However, such scales are susceptible to problems of sensitivity and reliability. Here, we evaluate the reliability and validity of a device designed to quantify Parkinsonian rigidity at the elbow and the wrist. The method essentially quantifies the clinical examination and employs small sensors to monitor forces and angular displacements imposed by the clinician onto the limb segment distal to the joint being evaluated. Force and displacement data are used to calculate elastic and viscous stiffnesses and their vectorial sum, mechanical impedance. Interexaminer agreement of measures of mechanical impedance in subjects with Parkinson´s disease was comparable to that of clinical UPDRS scores. Examiners tended to overrate rigidity on the UPDRS scale during reinforcement manoeuvres. Mechanical impedance was nonlinearly related to UPDRS ratings of rigidity at the elbow and wrist; characterization of such relationships allows interpretation of impedance measurements in terms of the clinical rating scales.
  • Keywords
    biomechanics; biomedical measurement; diseases; force measurement; patient diagnosis; phase estimation; reliability; shear modulus; Parkinsonian rigidity assessment; UPDRS rigidity scale; Unified Parkinson´s Disease Rating System; angular displacements; elastic stiffness; elbow; force sensors; mechanical impedance; parameter estimation; phase shift; quantification; reliability; subjective rating scale; vectorial sum; viscous stiffness; wrist; Associate members; Elbow; Force measurement; Force sensors; Impedance measurement; Mechanical sensors; Mechanical variables measurement; Monitoring; Parkinson´s disease; Wrist; Biomechanics; Elbow; Humans; Mathematical Computing; Models, Biological; Movement; Muscle Rigidity; Parkinson Disease; Reproducibility of Results; Severity of Illness Index; Wrist;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/7333.918274
  • Filename
    918274