TY - GEN
T1 - Design of Stroke Rehabilitation Robots
AU - Rahman, A.
AU - Mohamaddan, S.
AU - Annisa, J.
AU - Junaidi, E.
AU - Helmy, H.
AU - Hamdan, N. M.
AU - Mohamad, N. Z.
AU - Zakaria, N. A.C.
AU - Low, C. Y.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - One of the most frequent cause of limb disabilities worldwide is stroke. In order to achieve high recoverability, stroke patients require repetitive and consistent rehabilitation treatment. However, the increasing number of stroke patients with limited number of therapists and transportation problem among patients from rural places limit the accessibility to have better treatment. Hence, it is important to have a Rehabilitation Robot Devices (RRDs) to minimize the problems. This research is aimed to design an upper limb rehabilitation robot device that is portable and adjustable. In order to ensure that the robot arm design achieve the desired movement, CATIA V5R22 was used to simulate the design with a human builder. Motion analysis in SolidWork 2018 was used to investigate the angular displacement of the robot arm link. The simulation showed that, the robot arm design corresponds with the Malaysian anthropometry dimensions. The motion analysis showed that, the movement pattern of the robot arm achieved the desired angle of movement during rehabilitation process with the wrist extension recorded the highest time cycle which is 16 seconds for 45 degrees of extension.
AB - One of the most frequent cause of limb disabilities worldwide is stroke. In order to achieve high recoverability, stroke patients require repetitive and consistent rehabilitation treatment. However, the increasing number of stroke patients with limited number of therapists and transportation problem among patients from rural places limit the accessibility to have better treatment. Hence, it is important to have a Rehabilitation Robot Devices (RRDs) to minimize the problems. This research is aimed to design an upper limb rehabilitation robot device that is portable and adjustable. In order to ensure that the robot arm design achieve the desired movement, CATIA V5R22 was used to simulate the design with a human builder. Motion analysis in SolidWork 2018 was used to investigate the angular displacement of the robot arm link. The simulation showed that, the robot arm design corresponds with the Malaysian anthropometry dimensions. The motion analysis showed that, the movement pattern of the robot arm achieved the desired angle of movement during rehabilitation process with the wrist extension recorded the highest time cycle which is 16 seconds for 45 degrees of extension.
KW - Rehabilitation
KW - Rehabilitation Robot Devices
KW - Stroke
UR - http://www.scopus.com/inward/record.url?scp=85095407118&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85095407118&partnerID=8YFLogxK
U2 - 10.1109/ICAE47758.2019.9221677
DO - 10.1109/ICAE47758.2019.9221677
M3 - Conference contribution
AN - SCOPUS:85095407118
T3 - Proceedings of the 2019 2nd International Conference on Applied Engineering, ICAE 2019
BT - Proceedings of the 2019 2nd International Conference on Applied Engineering, ICAE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Applied Engineering, ICAE 2019
Y2 - 2 October 2019 through 3 October 2019
ER -