*Shahrol Mohamaddan1,2, Mohd Rizal Arshad3, Annisa Jamali1, Helmy Hazmi4 and Muhammad Naim Leman5
1 Faculty of Engineering, Universiti Malaysia Sarawak, 94300, Kota Samarahan, Sarawak, Malaysia
2 Department of Bioscience and Engineering, College of System Engineering and Science,
Shibaura Institute of Technology, Japan
3 School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Malaysia
4 Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak, Malaysia
5 Industrial Training Institute Kota Samarahan, Malaysia
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Abstract
According to Word Health Organization (WHO) and United Nation (UN), there is an increasing number of elderly and people with disabilities (PWD) around the world. Among the PWDs, stroke has the highest number of patients. In order to regain the functionality of the body (upper and lower limb), the stroke patient needs a consistent rehabilitation program guided by the therapist. Unfortunately, the traditional rehabilitation program is laborious and intensive especially for the lower limb (e.g. gait rehabilitation). The impact of rehabilitation program is also depending on the therapist’s experiences. The rehabilitation program is difficult to meet the requirement of high intensity and repetitive training due to the increasing number of patient and the lacking number of therapists. The development of lower limb rehabilitation robot (LLRR) is one of the solutions to support the rehabilitation program. LLRR has been used to regain the muscle strength and to support the patient’s mobility. In this research, LLRR with the home-based concept will be developed. The ‘compact and mobile’ LLRR is expected to be used by the rural community in Sarawak. The research starts with kinematic and dynamic analysis of the LLRR. Based on the analysis, design and fabrication of the LLRR will be conducted. The novelty of this research will be on the adaptive control system that will be implemented on the developed LLRR. The control system will ensure that the LLRR is more flexible and adjustable based on patient’s condition, progress and participation. In the era of Industrial Revolution 4.0, this research is hoping to support the community in Sarawak by providing the robotics solution for biomedical application.
