Literature DB >> 21075739

Analysis of viscoelastic properties of wrist joint for quantification of parkinsonian rigidity.

Byung Kyu Park1, Yuri Kwon, Ji-Won Kim, Jae-Ho Lee, Gwang-Moon Eom, Seong-Beom Koh, Jae-Hoon Jun, Junghwa Hong.   

Abstract

This study aims to analyze viscoelastic properties of the wrist in patients with Parkinson's disease (PD) in comparison with the clinical score of severity. Forty-five patients with PD and 12 healthy volunteers participated in this study. Severity of rigidity at the wrist was rated by a neurologist just before the experiment. Wrist joint torque resistive to the imposed movement was measured. Three different models, (identical in structure, only different in the number of parameters for extension and flexion phases) were used in identification of viscoelastic properties: 1) one damping constant and one spring constant throughout all phases, 2) two damping constants for each phase and one spring constant throughout all phases, and 3) two damping constants and two spring constants for each phase. Normalized work and impulse suggested in the literature were also calculated. Spring constants of different models and phases showed comparable correlation with rigidity score ( r=0.68-0.73). In terms of the correlation of damping constant with clinical rigidity score, model 1 ( r = 0.90) was better than models 2 and 3 ( r=0.59 - 0.71). These results suggest that the clinical rigidity score is better represented by the mean viscosity during both flexion and extension. In models with two dampers (model 2 and 3), the damping constant was greater during extension than flexion in patients , in contrast that there was no phase difference in normal subjects. This suggests that in contrast with normal subjects, phase-dependent viscosity may be an inherent feature of PD. Although work and impulse were correlated with clinical rigidity score ( r = 0.11 - 0.84), they could not represent the phase-dependent rigidity inherent in PD. In conclusion, the viscosity of model 1 would be appropriate for quantification of clinical ratings of rigidity and that of model 2 for distinction of PD and also for investigation of phase-dependent characteristics in parkinsonian rigidity.

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Year:  2010        PMID: 21075739     DOI: 10.1109/TNSRE.2010.2091149

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  14 in total

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Authors:  Layne H Salmond; Andrew D Davidson; Steven K Charles
Journal:  J Neurophysiol       Date:  2016-12-21       Impact factor: 2.714

2.  A Comparison of the Effects of Continuous versus Discontinuous Movement Patterns on Parkinsonian Rigidity and Reflex Responses to Passive Stretch and Shortening.

Authors:  Douglas Powell; Anburaj Muthumani; RuiPing Xia
Journal:  J Nat Sci       Date:  2016

3.  Quantification of neural reflex and muscular intrinsic contributions to parkinsonian rigidity.

Authors:  RuiPing Xia; Anburaj Muthumani; Zhi-Hong Mao; Douglas W Powell
Journal:  Exp Brain Res       Date:  2016-08-17       Impact factor: 1.972

4.  Normalizing EMG to Background Muscle Activation Masks Medication-Induced Reductions in Reflex Amplitudes in Parkinsonian Rigidity.

Authors:  Douglas Powell; Anburaj Muthumani; Rui-Ping Xia
Journal:  J Nat Sci       Date:  2017-02

5.  Quantifying Viscous Damping and Stiffness in Parkinsonism Using Data-Driven Model Estimation and Admittance Control.

Authors:  Alec Werning; Daniel Umbarila; Maxwell Fite; Sinta Fergus; Jianyu Zhang; Gregory F Molnar; Luke A Johnson; Jing Wang; Jerrold L Vitek; David Escobar Sanabria
Journal:  J Med Device       Date:  2022-07-01       Impact factor: 0.743

6.  Neural and nonneural contributions to wrist rigidity in Parkinson's disease: an explorative study using the NeuroFlexor.

Authors:  H Zetterberg; G E Frykberg; J Gäverth; P G Lindberg
Journal:  Biomed Res Int       Date:  2015-01-22       Impact factor: 3.411

7.  A neuroprosthesis for tremor management through the control of muscle co-contraction.

Authors:  Juan Álvaro Gallego; Eduardo Rocon; Juan Manuel Belda-Lois; José Luis Pons
Journal:  J Neuroeng Rehabil       Date:  2013-04-15       Impact factor: 4.262

8.  A torque-based method demonstrates increased rigidity in Parkinson's disease during low-frequency stimulation.

Authors:  Simon Little; Raed A Joundi; Huiling Tan; Alek Pogosyan; Beth Forrow; Carole Joint; Alexander L Green; Tipu Z Aziz; Peter Brown
Journal:  Exp Brain Res       Date:  2012-05-13       Impact factor: 1.972

9.  Joint torque variability and repeatability during cyclic flexion-extension of the elbow.

Authors:  Laurent Ballaz; Maxime Raison; Christine Detrembleur; Guillaume Gaudet; Martin Lemay
Journal:  BMC Sports Sci Med Rehabil       Date:  2016-04-11

10.  Quantification of Hand Motor Symptoms in Parkinson's Disease: A Proof-of-Principle Study Using Inertial and Force Sensors.

Authors:  Josien C van den Noort; Rens Verhagen; Kees J van Dijk; Peter H Veltink; Michelle C P M Vos; Rob M A de Bie; Lo J Bour; Ciska T Heida
Journal:  Ann Biomed Eng       Date:  2017-07-19       Impact factor: 3.934

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