Kinematics Mathematical Modelling of Lower Limb Exoskeleton for Paralyzed Stroke Patients

Authors

  • Muhammad Adib bin Abdul Rahman Faculty of Electrical Engineering and Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Vivaindran Chettiar Kathiravel Chettiar Faculty of Electrical Engineering and Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Muhammad Nazrin Shah Shahrol Aman Sports Engineering Research Centre, Centre of Excellence (SERC), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Lim Chee Chin Faculty of Electronic Engineering and Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Shafriza Nisha Basah Faculty of Electrical Engineering and Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Hiroshi Takemura Department of Mechanical Engineering, Faculty of Science and Technology, Tokyo University of Science, Chiba, Japan
  • Ewe Juan Yeap Orthopedics Department, ParkCity Medical Centre, Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.37934/araset.42.1.5772

Keywords:

Stroke paralysis patients, motor-driven, rehabilitation, biomechanics, mathematical analysis

Abstract

This paper presents the development of a lower limb rehabilitation robot to be used with bedridden patients. Strokes are one of the significant causes of death in 17% of the 109,155 medically certified death in 2020 in Malaysia. In most cases, stroke paralysis affects the opposite side of the damaged brain, and any part of the body can be affected. 90% of stroke patients get paralysis to some degree. Patients can recover from the disease and restore body motions by undergoing paralysis stroke physiotherapy, which involves numerous sessions with patients. There were several successful robotic rehabilitations in recent years; however, their design is inflexible and large, requiring the patient to sit or stand in a static position. This project will be built on a motor-driven parallel architecture that will offer motion assistance throughout the human’s wide range of motion (ROM). This project development is divided into two parts: structure design and simulation. The design process for the lower limb devices used syncretization and mathematical analysis. The structure design is from the kinematic analysis. The mathematical models are then used to design in MATLAB simulation which is trajectory simulation. The outcome shows that the simulations that have been developed is compatible with the motion of human lower limb. This robot develops for bedridden use of lower limb rehabilitation exercises.

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Author Biographies

Muhammad Adib bin Abdul Rahman, Faculty of Electrical Engineering and Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

s191361977@studentmail.unimap.edu.my

Vivaindran Chettiar Kathiravel Chettiar, Faculty of Electrical Engineering and Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

vivaindran@studentmail.unimap.edu.my

Muhammad Nazrin Shah Shahrol Aman , Sports Engineering Research Centre, Centre of Excellence (SERC), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

nazrinshahrol@unimap.edu.my

Lim Chee Chin, Faculty of Electronic Engineering and Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

cclim@unimap.edu.my

Shafriza Nisha Basah, Faculty of Electrical Engineering and Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

shafriza@unimap.edu.my

Hiroshi Takemura, Department of Mechanical Engineering, Faculty of Science and Technology, Tokyo University of Science, Chiba, Japan

takemura@rs.tus.ac.jp

Ewe Juan Yeap, Orthopedics Department, ParkCity Medical Centre, Kuala Lumpur, Malaysia

ejyeap@yahoo.com

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Published

2024-03-26

How to Cite

Muhammad Adib bin Abdul Rahman, Vivaindran Chettiar Kathiravel Chettiar, Muhammad Nazrin Shah Shahrol Aman, Lim Chee Chin, Shafriza Nisha Basah, Hiroshi Takemura, & Ewe Juan Yeap. (2024). Kinematics Mathematical Modelling of Lower Limb Exoskeleton for Paralyzed Stroke Patients. Journal of Advanced Research in Applied Sciences and Engineering Technology, 42(1), 57–72. https://doi.org/10.37934/araset.42.1.5772

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Articles