| 000 | 03721nam a22003735i 4500 | ||
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| 001 | 394700 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102123154.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220708s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783031055010 | ||
| 024 | 7 |
_a10.1007/978-3-031-05501-0 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 100 | 1 |
_aPaszkiel, Szczepan _eautor _0(orcid)0000-0002-4917-5712 _1https://orcid.org/0000-0002-4917-5712 _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aApplications of Brain-Computer Interfaces in Intelligent Technologies _cby Szczepan Paszkiel |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XIV, 110 páginas) _b64 ilustraciones, 58 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aStudies in Computational Intelligence _x1860-9503 _v1031 |
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| 505 | 0 | _aIntroduction -- Population models of neuronal ensembles for BCI technology -- Methods of analyzing EEG signals for the needs of BCI technology including Motor Imagery -- Application of brain-computer interface technology in neurogaming. | |
| 520 | _aThe BCI technology finds newer and newer implementations. Year by year, the number of publications in this field grows exponentially. This book attempts to describe the implementation of the brain-computer technology based on both STM32 and Arduino microcontrollers. In addition, the application of BCI technology in the field of intelligent houses, robotic lines as well as in the field of bionic prostheses was presented. One of the chapters of the monograph also discusses the issue of fMRI in the context of the possibility of analyzing images made as part of fMRI through solutions based on machine learning. A practical implementation of the TensorFlow framework was presented. The fMRI technique is also often implemented in BCI solutions. The conducted literature studies show that the technology of BCI is undoubtedly a technology of the future. However, there is a need for continuous development of biomedical signal processing methods in order to obtain the most efficient implementations in the case of non-invasive implementation of BCI technology based on EEG. The further development of BCI technology has a huge impact on the techniques of rehabilitation of people with disabilities. Nowadays, wheelchairs are being constructed, thanks to which a disabled person is physically able to direct his position in a certain direction and at a certain speed. Thanks to BCI, it is also possible to create an individual speech synthesizer, with the help of which a paralyzed person will be able to communicate with the outside world. New limb prostheses that will replace the lost locomotor system in almost one hundred percent are still being developed. Some prostheses are connected to the human nervous system, thanks to which they are able to send feedback to our brain about the shape, hardness and temperature of the object held in the artificial limb. | ||
| 776 | 0 | 8 |
_iPrinted edition: _z9783031055003 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031055027 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031055034 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-05501-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Robotics_2022 | ||
| 999 |
_c394700 _d394700 |
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