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This Author published in this journals
All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Hisyam Abdul Rahman
Universiti Tun Hussein Onn Malaysia
Control & Systems Engineering Electrical & Electronics Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

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Kinematic variables for upper limb rehabilitation robot and correlations with clinical scales: A review Sulaiman Mazlan; Hisyam Abdul Rahman; Yeong Che Fai; Babul Salam Ksm Kader Ibrahim; Muhamad Saif Huq
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.751 KB) | DOI: 10.11591/eei.v9i1.1856

Abstract

The paper presents a comprehensive review carried out to identify the kinematic variables used in upper body rehabilitation assisted by robotic devices to assess the motor impairment of stroke patients and investigates the correlation between the kinematic variables and the clinical scales. Twenty-nine kinematic variables have been studied from twenty-eight articles involving 738 subacute or chronic stroke patients. The movement of speed, distance, accuracy, peak speed, peak speed ratio and number of peak speed were found to be the most frequently used kinematic variables in the aforementioned studies. Seven out of twenty-eight included articles examined the correlations between the kinematic variables used with the clinical scales. Some kinematic variables seem to have a strong correlation with the clinical scales but most of the kinematic variables have a moderate or weak correlation value. The important kinematic variables for evaluating the motor performance during rehabilitation assisted by robotic devices have been discussed. A suitable selected set of kinematic variables and clinical scale can potentially enhance the correlation value, at the same time can predict the clinical score evaluated by physiotherapist during the rehabilitation program with a high degree of accuracy.
Co-Authors Anil Gandhi Babul Salam Ksm Kader Ibrahim Dirman Hanafi Eileen Su Lee Ming Etienne Burdet Kamal Khairi Kamaruddin Muhamad Saif Huq Nur Syarafina Mohamed Siti Nor Zawani Ahmmad Sulaiman Mazlan Suneet Sood Yeong Che Fai Yudhi Gunardi