NDLI: An advanced rehabilitation robotic system for augmenting healthcare

Content Provider	IEEE Xplore Digital Library
Author	Hu, J. Yi-Je Lim Ye Ding Paluska, D. Solochek, A. Laffery, D. Bonato, P. Marchessault, R.
Copyright Year	2011
Description	Author affiliation: Spaulding Rehabilitation Hospital, Boston, MA 02114, USA (Bonato, P.) \|\| Hstar Technologies Co., Cambridge, MA, 02138, USA (Hu, J.) \|\| Hstar Technologies Co, Cambridge, MA, 02138, USA (Yi-Je Lim; Ye Ding; Paluska, D.; Solochek, A.; Laffery, D.) \|\| US Army Medical Research and Materiel Command Fort Detrick, Maryland, 21720, USA (Marchessault, R.)
Abstract	Emerging technologies such as rehabilitation robots (RehaBot) for retraining upper and lower limb functions have shown to carry tremendous potential to improve rehabilitation outcomes. Hstar Technologies is developing a revolutionary rehabilitation robot system enhancing healthcare quality for patients with neurological and muscular injuries or functional impairments. The design of RehaBot is a safe and robust system that can be run at a rehabilitation hospital under the direct monitoring and interactive supervision control and at a remote site via telepresence operation control. RehaBot has a wearable robotic structure design like exoskeleton, which employs a unique robotic actuation — Series Elastic Actuator. These electric actuators provide robotic structural compliance, safety, flexibility, and required strength for upper extremity dexterous manipulation rehabilitation training. RehaBot also features a novel non-treadmill paddle platform capable of haptics feedback locomotion rehabilitation training. In this paper, we concern mainly about the motor incomplete patient and rehabilitation applications.
Starting Page	2073
Ending Page	2076
File Size	950610
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6090384
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Legged locomotion Safety Robot sensing systems Joints Foot
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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