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000922637 019__ $$a1121485536$$a1122186381
000922637 020__ $$a9783030305819$$q(electronic book)
000922637 020__ $$a3030305813$$q(electronic book)
000922637 020__ $$z9783030305802
000922637 020__ $$z3030305805
000922637 0247_ $$a10.1007/978-3-030-30581-9$$2doi
000922637 035__ $$aSP(OCoLC)on1119720321
000922637 035__ $$aSP(OCoLC)1119720321$$z(OCoLC)1121485536$$z(OCoLC)1122186381
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000922637 049__ $$aISEA
000922637 050_4 $$aQP360.7$$b.P37 2020eb
000922637 08204 $$a612.80285$$223
000922637 1001_ $$aPaszkiel, Szczepan,$$eauthor.
000922637 24510 $$aAnalysis and classification of EEG signals for brain-computer interfaces /$$cSzczepan Paszkiel.
000922637 264_1 $$aCham :$$bSpringer,$$c[2020]
000922637 264_4 $$c©2020
000922637 300__ $$a1 online resource.
000922637 336__ $$atext$$btxt$$2rdacontent
000922637 337__ $$acomputer$$bc$$2rdamedia
000922637 338__ $$aonline resource$$bcr$$2rdacarrier
000922637 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 852
000922637 504__ $$aIncludes bibliographical references.
000922637 506__ $$aAccess limited to authorized users.
000922637 520__ $$aThis book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brain-computer interfaces. In addition, it offers a wealth of information, ranging from the description of data acquisition methods in the field of human brain work, to the use of Moore-Penrose pseudo inversion to reconstruct the EEG signal and the LORETA method to locate sources of EEG signal generation for the needs of BCI technology. In turn, the book explores the use of neural networks for the classification of changes in the EEG signal based on facial expressions. Further topics touch on machine learning, deep learning, and neural networks. The book also includes dedicated implementation chapters on the use of brain-computer technology in the field of mobile robot control based on Python and the LabVIEW environment. In closing, it discusses the problem of the correlation between brain-computer technology and virtual reality technology.
000922637 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 17, 2019).
000922637 650_0 $$aBrain-computer interfaces.
000922637 650_0 $$aElectroencephalography.
000922637 77608 $$iPrint version: $$z3030305805$$z9783030305802$$w(OCoLC)1111783568
000922637 830_0 $$aStudies in computational intelligence ;$$vv. 852.
000922637 852__ $$bebk
000922637 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-30581-9$$zOnline Access$$91397441.1
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000922637 980__ $$aEBOOK
000922637 980__ $$aBIB
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000922637 983__ $$aOnline
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