System Identification and Modeling Approach to Characterizing Rigidity in Parkinsons Disease:Neural and Non-neural Contributions
Rigidity (muscle stiffness) is one of the most disabling symptoms in Parkinsons disease (PD). It isclinically defined as an increased resistance to passivemovement of a joint. There is a fundamental gap betweenmechanistic and applied approaches to understanding thissymptom. The objective of the current study was to apply asystem identification and modeling approach todifferentiating the contributions of neural (enhanced musclereflex) and non-neural (altered mechanical properties ofmuscle fibers) factors to rigidity. Six patients participated inthe study. The wrist joint torque and muscle activities of thewrist muscles were measured during externally inducedmovements. Each subject was tested in the Off-and On-medication states. System identification and modelingapproach was applied to separate the neural from the non-neuralcomponent with respect to the overall stiffness. Resultsshow that both factors are responsible for rigidity in PD.Neural-related reflex component is the predominant factor inoverall rigidity. Medication therapy decreased the level ofreflex component to overall rigidity.
Ruiping Xia Matija Radovic A.Joseph Threlkeld Zhi-Hong Mao
Rehabilitation Science Research Lab,Department of Physical Therapy,Creighton University,Omaha, NE 68 Department of Electrical and Computer Engineering and Department of Bioengineering,University of Pit
国际会议
成都
英文
1-4
2010-06-18（万方平台首次上网日期，不代表论文的发表时间）