000			02801nam a22004335c 4500
988			_aSpringer_Robotics_2020
999			_c115368 _d115368 _x1
001			115368
003			ES-MaUEC
005			20230110040231.0
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007			cr nn nnnaamaa
008			190831s2020 gw a o |||| 0|eng d
020			_a9783030305819
024	7		_a10.1007/978-3-030-30581-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP360.7 _b2020 EB
100	1		_aPaszkiel, Szczepan _eautor _9671772
245	1	0	_aAnalysis and classification of EEG signals for brain-computer interfaces _cby Szczepan Paszkiel
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (VI, 132 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v852
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aChapter 1. Introduction -- Chapter 2. Data acquisition methods for human brain activity -- Chapter 3. Brain-computer interface (BCI) technology, etc.
520	3		_aThis book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brain-computer interfaces. In addition, it offers a wealth of information, ranging from the description of data acquisition methods in the field of human brain work, to the use of Moore-Penrose pseudo inversion to reconstruct the EEG signal and the LORETA method to locate sources of EEG signal generation for the needs of BCI technology. In turn, the book explores the use of neural networks for the classification of changes in the EEG signal based on facial expressions. Further topics touch on machine learning, deep learning, and neural networks. The book also includes dedicated implementation chapters on the use of brain-computer technology in the field of mobile robot control based on Python and the LabVIEW environment. In closing, it discusses the problem of the correlation between brain-computer technology and virtual reality technology.
650		7	_2embne _aInterfaces cerebro-ordenador _9424375
650		7	_2embne _aElectroencefalografía _9139534
650		7	_2embne _aNeurofisiología _9144482
776	0	8	_iPrinted edition: _z9783030305802
776	0	8	_iPrinted edition: _z9783030305826
776	0	8	_iPrinted edition: _z9783030305833
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-30581-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI