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Biosignal processing and computational methods to enhance sensory motor neuroprosthetics

Author: Mitsuhiro Hayashibe; David Guiraud; Jose L Pons; Dario Farina
Publisher: Frontiers Media SA. 2016. ©2016.
Series: Frontiers Research Topics
Edition/Format:   eBook : Document : English
Summary:
Though there have been many developments in sensory/motor prosthetics, they have not yet reached the level of standard and worldwide use like pacemakers and cochlear implants. One challenging issue in motor prosthetics is the large variety of patient situations, which depending on the type of neurological disorder. To improve neuroprosthetic performance beyond the current limited use of such systems, robust  Read more...
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Details

Genre/Form: Electronic book
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mitsuhiro Hayashibe; David Guiraud; Jose L Pons; Dario Farina
ISBN: 9782889197187 2889197182 9782889187188 2889187187
OCLC Number: 1097098338
Description: 1 online resource (228 pages) : illustrations ;
Series Title: Frontiers Research Topics
Responsibility: edited by Mitsuhiro Hayashibe, David Guiraud, Jose L. Pons and Dario Farina.

Abstract:

Though there have been many developments in sensory/motor prosthetics, they have not yet reached the level of standard and worldwide use like pacemakers and cochlear implants. One challenging issue in motor prosthetics is the large variety of patient situations, which depending on the type of neurological disorder. To improve neuroprosthetic performance beyond the current limited use of such systems, robust bio-signal processing and model-based control involving actual sensory motor state (with biosignal feedback) would bring about new modalities and applications, and could be a breakthrough toward adaptive neuroprosthetics. Recent advances of Brain Computer Interfaces (BCI) now enable patients to transmit their intention of movement. However, the functionality and controllability of motor prosthetics itself can be further improved to take advantage of BCI interfaces. In this Research Topic we welcome contribution of original research articles, computational and experimental studies, review articles, and methodological advances related to biosignal processing that may enhance the functionality of sensory motor neuroprosthetics. The scope of this topic includes, but is not limited to, studies aimed at enhancing: 1) computational biosignal processing in EMG (Electromyography), EEG (Electroencephalography), and other modalities of biofeedback information; 2) the computational method in modeling and control of sensory motor neuroprosthetics; 3) the systematic functionality aiming to provide solutions for specific pathological movement disorders; 4) human interfaces such as BCI - but in the case of BCI study, manuscripts should be experimental studies which are applied to sensory/motor neuroprosthetics in patients with motor disabilities.

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