| 000 | 03159naaaa2200337uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/42297 | ||
| 005 | 20220220074856.0 | ||
| 020 | _a978-2-88919-718-7 | ||
| 020 | _a9782889197187 | ||
| 024 | 7 |
_a10.3389/978-2-88919-718-7 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 100 | 1 |
_aJose L. Pons _4auth |
|
| 700 | 1 |
_aMitsuhiro Hayashibe _4auth |
|
| 700 | 1 |
_aDavid Guiraud _4auth |
|
| 700 | 1 |
_aDario Farina _4auth |
|
| 245 | 1 | 0 | _aBiosignal processing and computational methods to enhance sensory motor neuroprosthetics |
| 260 |
_bFrontiers Media SA _c2016 |
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| 300 | _a1 electronic resource (228 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aThough 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. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc _4https://creativecommons.org/licenses/by/4.0/ |
||
| 546 | _aEnglish | ||
| 653 | _aBrain-computer interface | ||
| 653 | _aneuroprosthetics | ||
| 653 | _aElectromyography | ||
| 653 | _aElectroencephalography | ||
| 653 | _aNeurorehabilitation | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttp://journal.frontiersin.org/researchtopic/1639/biosignal-processing-and-computational-methods-to-enhance-sensory-motor-neuroprosthetics _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/42297 _70 _zDOAB: description of the publication |
| 999 |
_c74189 _d74189 |
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