MODEL-BASED SYSTEMS ENGINEERING OF A HAND REHABILITATION DEVICE

Authors

  • Mohd Nor Azmi Ab. Patar College of Systems Engineering and Science, Shibaura Institute of Technology, Japan
  • Takashi Komeda College of Systems Engineering and Science, Shibaura Institute of Technology, Japan
  • Low Cheng Yee Faculty of Mechanical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Malaysia
  • Jamaluddin Mahmud Faculty of Mechanical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Malaysia

DOI:

https://doi.org/10.11113/jt.v76.5496

Keywords:

Continuous Passive Motion (CPM), active robotic exoskeleton, spasticity, hand function

Abstract

We have developed a robotic exoskeleton to restore and rehab hand and finger function. The robotic exoskeleton is a hybrid actuated mechanism rehabilitation system, in which each finger is attached to an instrumented lead screw mechanism allowing force and position control according to the normal human setting. The robotic device, whose implemented is based on biomechanics measurements, able to assist the subject in flexion and extension motion. It also compatible with various shapes and sizes of human‘s finger. Main features of the interface include an integration of DC servo motor and lead screw mechanism which allows independent motion of the five fingers with small actuators. The device is easily transportable, user safety precaution, and offer multiple mode of training potentials. This paper presents the measurements implemented in the system to determine the requirements for finger and hand rehabilitation device, the design and characteristic of the whole system. 

References

Dovat, L., Lambercy, O., Gassert, R., Maeder, T., Milner, T., Leong, T. C. and Burdet, E. 2008. HandCARE: A Cable-Actuated Rehabilitation System to Train Hand Function After Stroke. IEEE Trans. Neural Syst. Rehabil. Eng. 16(6): 582-91.

Arata, J., Ohmoto, K., Gassert, R., Lambercy, O., Fujimoto, H. and Wada, I. 2013. A New Hand Exoskeleton Device for Rehabilitation Using a Three-layered Sliding Spring Mechanism. IEEE Int. Conf. Robot. Autom. 3902-3907.

Mohd Nor Azmi, A. P., Komeda, T. and Low, C. Y. 2014. System Integration and Control of Finger Orthosis for Post Stroke Rehabilitation. Procedia Eng. 15: 787-796.

Mohd Nor Azmi, A. P., Komeda, T., Mori, T., Seki, T., Saito, Y., Mahmud, J. and Low, C. Y. 2014. Hand Rehabilitation Device System (HRDS) for Therapeutic Applications. 5th IEEE RAS/EMBS Int. Conf. Biomed. Robot. Biomechatronics, 381-386.

Mohd Nor Azmi, A. P., Komeda, T. and Mahmud, J. 2014. Force Assisted Hand and Finger Device for Rehabilitation. Int. Symp. Technol. Manag. Emerg. Technol. (ISTMET 2014), Bandung, Indones. 133-138.

Placidi, G., Avola, D., Iacoviello, D. and Cinque, L. 2013. Overall Design and Implementation of The Virtual Glove. Comput. Biol. Med. 43(11): 1927-40.

Haruhisa K., Hiroki K., Satoshi I., Yutaka N. and Hiroyuki H. 2006. Hand Rehabilitation Support System Based on Self Motion Control with a Clinical Case Report. World Autom. Congr.

Fischer, H. C., Stubblefield, K., Kline, T., Luo, X., Kenyon, R. V. and Kamper, D. G. 2007. Hand Rehabilitation Following Stroke: A Pilot Study of Assisted Finger Extension Training in a Virtual Environment. Top. Stroke Rehabil. 14(1): 1-12.

Iqbal, J., Tsagarakis, N. G. and Caldwell, D. G. 2011. A Multi-DOF Robotic Exoskeleton Interface for Hand Motion Assistance. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2011: 1575-8.

Patar, B. Ab. M. N. A., H. Ramli, H., J. Mahmud, J. and A. H. Yusof, A. H. 2012. Efficacy and Safety Testing of a New Biologically Based Design Ankle Foot Orthosis in Healthy Volunteer. Appl. Mech. Mater. 110: 1953-1957.

Patar, B. Ab. M. N. A., Mali, M., Ramli, M. H. M., Makhtar, A. K. and Mahmud, J. 2011. Simulation and performance Evaluation of a New Type of Powered Dynamic Ankle Foot Orthosis. Humanities, Science and Engineering (CHUSER), 2011 IEEE Colloquium on. 167-171.

Borghetti, M., Sardini, E. and Serpelloni, M. 2013. Sensorized Glove for Measuring Hand Finger Flexion for Rehabilitation Purposes. IEEE Trans. Instrum. Meas. 62(12): 3308-3314.

Lii, N.Y, Pleintinger, B., Borst, C. H., Hirzinger, G. and Schiele, A. 2010. Toward Understanding the Effects of Visual- and Force-Feedback on Robotic Hand Grasping Performance for Space Teleoperation. 2010 IEEE/RSJ Int. Conf. Intell. Robot. Syst. 3745-3752.

Downloads

Published

2015-09-13

How to Cite

MODEL-BASED SYSTEMS ENGINEERING OF A HAND REHABILITATION DEVICE. (2015). Jurnal Teknologi, 76(4). https://doi.org/10.11113/jt.v76.5496