Modified Ashworth Scale (MAS) model based on clinical data measurement towards quantitative evaluation of upper limb spasticity
Spasticity is common symptom presented amongst people with sensorimotor disabilities. Imbalanced signals from the central nervous systems (CNS) which are composed of the brain and spinal cord to the muscles ultimately leading to the injury and death of motor neurons. In clinical practice, the ther...
Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IOP Publishing
2017
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Subjects: | |
Online Access: | http://irep.iium.edu.my/59433/ http://irep.iium.edu.my/59433/ http://irep.iium.edu.my/59433/1/asmarani.pdf http://irep.iium.edu.my/59433/7/Modified%20Ashworth%20Scale%20%28MAS%29%20Model%20based%20on%20Clinical%20Data%20Measurement%20towards%20Quantitative%20Evaluation%20of%20Upper%20Limb%20Spasticity.pdf |
Summary: | Spasticity is common symptom presented amongst people with sensorimotor disabilities. Imbalanced
signals from the central nervous systems (CNS) which are composed of the brain and spinal cord to the muscles
ultimately leading to the injury and death of motor neurons. In clinical practice, the therapist assesses muscle
spasticity using a standard assessment tool like Modified Ashworth Scale (MAS), Modified Tardiue Scale
(MTS) or Fugl-Meyer Assessment (FMA). This is done subjectively based on the experience and perception of
the therapist subjected to the patient fatigue level and body posture. However, the inconsistency in the
assessment is prevalent and could affect the efficacy of the rehabilitation process. Thus, the aim of this paper is
to describe the methodology of data collection and the quantitative model of MAS developed to satisfy its
description. Two subjects with MAS of 2 and 3 spasticity levels were involved in the clinical data measurement.
Their level of spasticity was verified by expert therapist using current practice. Data collection was established
using mechanical system equipped with data acquisition system and LABVIEW software. The procedure
engaged repeated series of flexion of the affected arm that was moved against the platform using a lever
mechanism and performed by the therapist. The data was then analyzed to investigate the characteristics of
spasticity signal in correspondence to the MAS description. Experimental results revealed that the methodology
used to quantify spasticity satisfied the MAS tool requirement according to the description. Therefore, the result
is crucial and useful towards the development of formal spasticity quantification model. |
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