Patient-Driven Hand Exoskeleton Based Robotic with Active Control System for Early Post Stroke Rehabilitation

Article Preview

Abstract:

The development of a robotic exoskeleton to restore and rehab, hand and finger function is highly competitive nowadays. The robotic exoskeleton is an active actuated mechanism implemented in rehabilitation system, in which each finger attached to an instrumented lead screw mechanism allowing force and position control, according to the normal human setting. The robotic device is a direct driven actuated based on ergonomics measurements, capable to assist in flexion and extension motion. As an adaptation mechanism, it's also compatible with various sizes and shapes of anthropometric human‘s finger. The integration of DC servo motor and lead screw mechanism were the main features of the interface, which allows independent motion of the five fingers with small and lightweight actuators. The device is easily transportable, efficient safety performance, user friendly and offer multiple modes 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.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1063-1068

Citation:

Online since:

October 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] J. Arata, K. Ohmoto, R. Gassert, O. Lambercy, H. Fujimoto, and I. Wada, A new hand exoskeleton device for rehabilitation using a three-layered sliding spring mechanism, IEEE International Conference on Robotics and Automation, p.3902–3907, May (2013).

DOI: 10.1109/icra.2013.6631126

Google Scholar

[2] P. Maciejasz, J. Eschweiler, K. Gerlach-Hahn, A. Jansen-Troy, and S. Leonhardt, A survey on robotic devices for upper limb rehabilitation., Journal of neuroengineering and rehabilitation, vol. 11, p.1–29, (2014).

DOI: 10.1186/1743-0003-11-3

Google Scholar

[3] L. Dovat, O. Lambercy, R. Gassert, T. Maeder, T. Milner, T. C. Leong, and E. Burdet, HandCARE: a cable-actuated rehabilitation system to train hand function after stroke., IEEE transactions on neural systems and rehabilitation engineering, vol. 16, no. 6, p.582–91, Dec. (2008).

DOI: 10.1109/tnsre.2008.2010347

Google Scholar

[4] A. P. Mohd Nor Azmi, T. Komeda, and C. Y. Low, System Integration and Control of Finger Orthosis for Post Stroke Rehabilitation, Procedia Engineering, vol. 15, p.787–796, (2014).

DOI: 10.1016/j.protcy.2014.09.048

Google Scholar

[5] N. Y. Lii, B. Pleintinger, C. H. Borst, G. Hirzinger, and A. Schiele, Toward understanding the effects of visual- and force-feedback on robotic hand grasping performance for space teleoperation, IEEE/RSJ International Conference on Intelligent Robots and Systems, p.3745–3752, Oct. (2010).

DOI: 10.1109/iros.2010.5650186

Google Scholar

[6] A. P. Mohd Nor Azmi, T. Komeda, and J. Mahmud, Force Assisted Hand and Finger Device for Rehabilitation, International Symposium on Technology Management and Emerging Technologies (ISTMET), May 27 - 29, 2014, Bandung, Indonesia, p.133–138, (2014).

DOI: 10.1109/istmet.2014.6936493

Google Scholar

[7] A. P. Mohd Nor Azmi, T. Komeda, T. Mori, T. Seki, Y. Saito, J. Mahmud, and C. Y. Low, Hand rehabilitation device system (HRDS) for therapeutic applications, 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, p.381–386, Aug. (2014).

DOI: 10.1109/biorob.2014.6913806

Google Scholar

[8] K. I. Motoki Takagi Yoshiyuki Takahashi, Shin0-Ichiroh Yamamoto, Hiroyuki Koyama, Takashi Komeda, Development of A Grip Aid System using Air Cylinders, IEEE International Conference on Robotics & Automation, p.2312–2317, (2009).

DOI: 10.1109/robot.2009.5152246

Google Scholar

[9] A. Kargov, C. Pylatiuk, J. Martin, S. Schulz, and L. Döderlein, A comparison of the grip force distribution in natural hands and in prosthetic hands., Disability and rehabilitation, vol. 26, no. 12, p.705–711, (2004).

DOI: 10.1080/09638280410001704278

Google Scholar

[10] N. S. K. Ho, K. Y. Tong, X. L. Hu, K. L. Fung, X. J. Wei, W. Rong, and E. a. Susanto, An EMG-driven exoskeleton hand robotic training device on chronic stroke subjects: Task training system for stroke rehabilitation, IEEE International Conference on Rehabilitation Robotics, (2011).

DOI: 10.1109/icorr.2011.5975340

Google Scholar

[11] Mohd Nor Azmi Ab Patar, T. Komeda, J. Mahmud, and C. Y. Low, Model Based Design of Finger Exoskeleton for Post Stroke Rehabilitation Using a Slotted Link Cam with Lead Screw Mechanism, Industrial Engineering, Management Science and Applications Lecture Notes in Electrical Engineering (Springer), vol. 349, p.95–103, (2015).

DOI: 10.1007/978-3-662-47200-2_11

Google Scholar