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
Link To Document :
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