001385868 000__ 03190cam\a2200481Ki\4500 001385868 001__ 1385868 001385868 003__ MaCbMITP 001385868 005__ 20240325105013.0 001385868 006__ m\\\\\o\\d\\\\\\\\ 001385868 007__ cr\cn\nnnunnun 001385868 008__ 190116s2019\\\\mau\\\\\o\\\\\000\0\eng\d 001385868 020__ $$a9780262352819$$q(electronic bk.) 001385868 020__ $$a0262352818$$q(electronic bk.) 001385868 020__ $$z9780262039826 001385868 035__ $$a(OCoLC)1082365476 001385868 035__ $$a(OCoLC-P)1082365476 001385868 040__ $$aOCoLC-P$$beng$$erda$$epn$$cOCoLC-P 001385868 050_4 $$aRC386.6.M36$$bI46 2019eb 001385868 072_7 $$aSCI$$x089000$$2bisacsh 001385868 072_7 $$aMED$$x057000$$2bisacsh 001385868 08204 $$a616.8/047547$$223 001385868 1001_ $$aIlmoniemi, Risto$$q(Risto J.),$$eauthor. 001385868 24510 $$aBrain signals :$$bphysics and mathematics of MEG and EEG /$$cRisto Ilmoniemi and Jukka Sarvas. 001385868 264_1 $$aCambridge :$$bThe MIT Press,$$c2019 001385868 300__ $$a1 online resource (248 pages). 001385868 336__ $$atext$$btxt$$2rdacontent 001385868 337__ $$acomputer$$bc$$2rdamedia 001385868 338__ $$aonline resource$$bcr$$2rdacarrier 001385868 506__ $$aAccess limited to authorized users. 001385868 520__ $$aA unified treatment of the generation and analysis of brain-generated electromagnetic fields. In Brain Signals , Risto Ilmoniemi and Jukka Sarvas present the basic physical and mathematical principles of magnetoencephalography (MEG) and electroencephalography (EEG), describing what kind of information is available in the neuroelectromagnetic field and how the measured MEG and EEG signals can be analyzed. Unlike most previous works on these topics, which have been collections of writings by different authors using different conventions, this book presents the material in a unified manner, providing the reader with a thorough understanding of basic principles and a firm basis for analyzing data generated by MEG and EEG. The book first provides a brief introduction to brain states and the early history of EEG and MEG, describes the generation of electromagnetic fields by neuronal activity, and discusses the electromagnetic forward problem. The authors then turn to EEG and MEG analysis, offering a review of linear and matrix algebra and basic statistics needed for analysis of the data, and presenting several analysis methods: dipole fitting; the minimum norm estimate (MNE); beamforming; the multiple signal classification algorithm (MUSIC), including RAP-MUSIC with the RAP dilemma and TRAP-MUSIC, which removes the RAP dilemma; independent component analysis (ICA); and blind source separation (BSS) with joint diagonalization. 001385868 588__ $$aOCLC-licensed vendor bibliographic record. 001385868 650_0 $$aMagnetoencephalography. 001385868 650_0 $$aElectroencephalography. 001385868 650_0 $$aBrain$$xMagnetic fields$$xMeasurement. 001385868 653__ $$aNEUROSCIENCE/General 001385868 655_0 $$aElectronic books 001385868 7001_ $$aSarvas, Jukka,$$eauthor. 001385868 852__ $$bebk 001385868 85640 $$3MIT Press$$uhttps://univsouthin.idm.oclc.org/login?url=https://doi.org/10.7551/mitpress/10745.001.0001?locatt=mode:legacy$$zOnline Access through The MIT Press Direct 001385868 85642 $$3OCLC metadata license agreement$$uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 001385868 909CO $$ooai:library.usi.edu:1385868$$pGLOBAL_SET 001385868 980__ $$aBIB 001385868 980__ $$aEBOOK 001385868 982__ $$aEbook 001385868 983__ $$aOnline