NDLI: On the road to a neuroprosthetic hand: A novel hand grasp orthosis based on functional electrical stimulation

Content Provider	IEEE Xplore Digital Library
Author	Leeb, R. Gubler, M. Tavella, M. Miller, H. Del R. Míllan, J.
Copyright Year	2010
Description	Author affiliation: Sensory-Motor System Lab, Swiss Federal Institute of Technology Zürich, CH-8092, Switzerland (Gubler, M.) \|\| Non-Invasive Brain-Machine Interface, Center for Neuroprosthetics, School of Engineering, Ecole Polytechnique Fédérale de Lausanne, CH-1015, Switzerland (Leeb, R.; Tavella, M.; Miller, H.; Del R Míllan, J.)
Abstract	To patients who have lost the functionality of their hands as a result of a severe spinal cord injury or brain stroke, the development of new techniques for grasping is indispensable for reintegration and independency in daily life. Functional Electrical Stimulation (FES) of residual muscles can reproduce the most dominant grasping tasks and can be initialized by brain signals. However, due to the very complex hand anatomy and current limitations in FES-technology with surface electrodes, these grasp patterns cannot be smoothly executed. In this paper, we present an adaptable passive hand orthosis which is capable of producing natural and smooth movements when coupled with FES. It evenly synchronizes the grasping movements and applied forces on all fingers, allowing for naturalistic gestures and functional grasps of everyday objects. The orthosis is also equipped with a lock, which allows it to remain in the desired position without the need for long-term stimulation. Furthermore, we quantify improvements offered by the orthosis compare them with natural grasps on healthy subjects.
Starting Page	146
Ending Page	149
File Size	2028440
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627412
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Grasping Force Synchronization Strips Muscles Thumb Sensors rehabilitation Orthosis FES BCI EEG neuroprosthetics grasping
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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