Electronic Resource

Biosignal processing and computational methods to enhance sensory motor neuroprosthetics

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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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Detail Information

Series Title

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Call Number

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Publisher

Frontiers Media SA : ., 2016

Collation

288 hlm., ill., lamp

Language

English

ISBN/ISSN

9782889197187

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Neurosciences

Specific Detail Info

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Statement of Responsibility

Jose L. Pons ; Mitsuhiro Hayashibe; David Guiraud ; Dario Farina

Other Information

Cataloger

ida

Source

https://directory.doabooks.org/handle/20.500.12854/42297

Validator

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Digital Object Identifier (DOI)

10.3389/978-2-88919-718-7

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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