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All Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Yeong Che Fai
Universiti Teknologi Malaysia
Electrical & Electronics Engineering

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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.
Objective assessment of surgeon’s psychomotor skill using virtual reality module Siti Nor Zawani Ahmmad; Eileen Su Lee Ming; Yeong Che Fai; Suneet Sood; Anil Gandhi; Nur Syarafina Mohamed; Hisyam Abdul Rahman; Etienne Burdet
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1533-1543

Abstract

This study aims to identify measurable parameters that could be used as objective assessment parameters to evaluate surgical dexterity using computer-based assessment module. A virtual reality module was developed to measure dynamic and static hand movements in a bimanual experimental setting. The experiment was conducted with sixteen subjects divided into two groups: surgeons (N = 5) and non-surgeons (N = 11). Results showed that surgeons outperformed the non-surgeons in motion path accuracy, motion path precision, economy of movement, motion smoothness, end-point accuracy and end-point precision. The six objective parameters can complement existing assessment methods to better quantify a trainee’s performance. These parameters also could provide information of hand movements that cannot be measured with the human eye. An assessment strategy using appropriate parameters could help trainees learn on computer-based systems, identify their mistakes and improve their skill towards the competency, without relying too much on bench models and cadavers.
Co-Authors Anil Gandhi Babul Salam Ksm Kader Ibrahim Eileen Su Lee Ming Etienne Burdet Hisyam Abdul Rahman Muhamad Saif Huq Nur Syarafina Mohamed Siti Nor Zawani Ahmmad Sulaiman Mazlan Suneet Sood