Universiti Teknologi Malaysia Institutional Repository

The potential of iRest in measuring the hand function performance of stroke patients

Rahman, H. A. and Khor, K. X. and Yeong, C. F. and Su, E. L. M. and Narayanan, A. L. T. (2017) The potential of iRest in measuring the hand function performance of stroke patients. Bio-Medical Materials and Engineering, 28 (2). pp. 105-116. ISSN 0959-2989

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Background: Clinical scales such as Fugl-Meyer Assessment (FMA) and Motor Assessment Scale (MAS) are widely used to evaluate stroke patient's motor performance. However, there are several limitations with these assessment scales such as subjectivity, lack of repeatability, time-consuming and highly depend on the ability of the physiotherapy. In contrast, robot-based assessments are objective, repeatable, and could potentially reduce the assessment time. However, robot-based assessments are not as well established as conventional assessment scale and the correlation to conventional assessment scale is unclear. OBJECTIVE: This study was carried out to identify important parameters in designing tasks that efficiently assess hand function of stroke patients and to quantify potential benefits of robotic assessment modules to predict the conventional assessment score with iRest. METHODS: Twelve predictive variables were explored, relating to movement time, velocity, strategy, accuracy and smoothness from three robotic assessment modules which are Draw I, Draw Diamond and Draw Circle. Regression models using up to four predictors were developed to describe the MAS. RESULTS: Results show that the time given should be not too long and it would affect the trajectory error. Besides, result also shows that it is possible to use iRest in predicting MAS score. CONCLUSION: There is a potential of using iRest, a non-motorized device in predicting MAS score.

Item Type:Article
Uncontrolled Keywords:Assessment, Robot, Stroke, Upper limb
Subjects:T Technology > T Technology (General)
Divisions:Malaysia-Japan International Institute of Technology
ID Code:75432
Deposited By: Widya Wahid
Deposited On:22 Mar 2018 11:09
Last Modified:22 Mar 2018 11:09

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