000 01940nam a2200217Ia 4500
003 MX-SIABUC
005 20240716171924.0
020 _a978-1-78561-398-2 (Pasta rústica)
082 _a006.31 S578s 2018
245 _aSignal processing and machine learning for brain - machine interfaces.
260 _aLondon, United Kingdom :
_bThe institution of engineering and technology,
_c2018
300 _a340 p. ;
_c24x 16 cm
500 _aincluye índice
505 _aBrain - computer interfaces and electroencephalogram: basics and practical issues. -- Discriminative learning of connectivity patetern of motor imagery EEG. -- An experimental study to compare CSPand TSM techniques to extrac feactures during motor imagery tasks. -- Robust EEG signal processing with signal structures. -- A review transfer learning approaches in brain - computer interface. -- Unsupervised learning for brain - computer interfaces based on event - related potentials. -- covariate shift detection - based nonstationary adaptation in motor - imagery - based brain -- computer interface. -- A BCI challenge for the signal - processing community: considering the user in the loop. -- Feedforward artificial neural networks for event - related potential detection. -- Signal models for brain interfaces based on evoked response potential in EEG. -- Spatial filtering techniques for improving individual template - based SSVEP detection. -- A review of facture extraction and classification algorithms for image RSVP - based BCI. -- Decoding music perception and imagination using deep - learning techniques. -- Neurofeedback games using EEG- based brain - computer interface technology.
650 _aTECNOLOGÍA MÉDICA
650 _aINTERFACES CON EL USUARIO (COMPUTADORES)
650 _aELECTROENCEFALOGRAFÍA
700 _aTanaka, Toshihisa. Editor
700 _aArvaneh, Mahnaz. Editor
008 5000302018 A 8000003000eng00
999 _c3888
_d3888