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| 020 | _a9783319957050 | ||
| 024 | 7 |
_a10.1007/978-3-319-95705-0 _2doi |
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_bspa _dES-MaUEC _cES-MaUEC |
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| 050 | 4 |
_aQP360.7 _b2019 EB |
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| 100 | 1 |
_aHortal, Enrique _eautor _9670771 |
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| 245 | 1 | 0 |
_aBrain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility _cby Enrique Hortal |
| 264 | 1 |
_aCham _bSpringer International Publishing : _bImprint: Springer _c2019 |
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| 300 |
_a1 recurso en línea (XLI, 79 páginas) _b32 ilustraciones, 31 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _asin mediación _bn |
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| 338 |
_2rdacarrier _avolumen _bnc |
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| 347 |
_atext file _bPDF |
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| 490 | 0 | _aEngineering (Springer-11647) | |
| 490 | 0 |
_aSpringer Theses Recognizing Outstanding Ph.D. Research _x2190-5053 |
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| 520 | 3 | _aThis thesis reports on the development of different control tools for Brain-machine interface-based assistance and rehabilitation. Brain activity is analyzed with the purpose of classify mental tasks and detecting movement intentions in patients with impaired motility. Event-Related Desynchronization (ERD) and Event-Related Synchronization (ERS) are detected. Throughout this book, different control systems are presented and validated. This thesis, examined at the Miguel Hernández University of Elche, Spain, in 2016, received the award for best thesis in bioengineering from the Bioengineering group of the Spanish Committee of Automatic Control (CEA) in 2017. | |
| 650 | 7 |
_2embne _aInterfaces cerebro-ordenador _9424375 |
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| 650 | 7 |
_2embne _aPersonas con discapacidad _xRehabilitación _9413121 |
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| 650 | 7 |
_2embne _9143820 _aIngeniería biomédica |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783030070854 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319957043 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319957067 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-95705-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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