Biosignal processing and computational methods to enhance sensory motor neuroprosthetics
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 neurol...
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| Главные авторы: | , , , |
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| Формат: | Online |
| Язык: | английский |
| Опубликовано: |
Frontiers Media SA
2021
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| Предметы: | |
| Online-ссылка: | 18839 |
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Нет меток, Требуется 1-ая метка записи!
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| _version_ | 1869514307654385664 |
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| author | Jose L. Pons Mitsuhiro Hayashibe David Guiraud Dario Farina |
| author_browse | Dario Farina David Guiraud Jose L. Pons Mitsuhiro Hayashibe |
| author_facet | Jose L. Pons Mitsuhiro Hayashibe David Guiraud Dario Farina |
| author_sort | Jose L. Pons |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-42297 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-422972024-04-05T12:35:21Z Biosignal processing and computational methods to enhance sensory motor neuroprosthetics Jose L. Pons Mitsuhiro Hayashibe David Guiraud Dario Farina RC321-571 Q1-390 Brain-computer interface neuroprosthetics Electromyography Electroencephalography Neurorehabilitation thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences 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. 2021-02-11T09:12:08Z 2021-02-11T09:12:08Z 2016-04-07 11:22:02 2016 book 18839 16648714 9782889197187 https://directory.doabooks.org/handle/20.500.12854/42297 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Biosignal_Processing_and_Computational_Methods_to_Enhance_Sensory_Motor_Neuroprosthetics/780#nogo http://journal.frontiersin.org/researchtopic/1639/biosignal-processing-and-computational-methods-to-enhance-sensory-motor-neuroprosthetics Frontiers Media SA 10.3389/978-2-88919-718-7 10.3389/978-2-88919-718-7 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889197187 228 open access |
| spellingShingle | RC321-571 Q1-390 Brain-computer interface neuroprosthetics Electromyography Electroencephalography Neurorehabilitation thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Jose L. Pons Mitsuhiro Hayashibe David Guiraud Dario Farina Biosignal processing and computational methods to enhance sensory motor neuroprosthetics |
| title | Biosignal processing and computational methods to enhance sensory motor neuroprosthetics |
| title_full | Biosignal processing and computational methods to enhance sensory motor neuroprosthetics |
| title_fullStr | Biosignal processing and computational methods to enhance sensory motor neuroprosthetics |
| title_full_unstemmed | Biosignal processing and computational methods to enhance sensory motor neuroprosthetics |
| title_short | Biosignal processing and computational methods to enhance sensory motor neuroprosthetics |
| title_sort | biosignal processing and computational methods to enhance sensory motor neuroprosthetics |
| topic | RC321-571 Q1-390 Brain-computer interface neuroprosthetics Electromyography Electroencephalography Neurorehabilitation thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 Brain-computer interface neuroprosthetics Electromyography Electroencephalography Neurorehabilitation thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 18839 |
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