說明 
x, 239 pages : illustrations (chiefly color) ; 24 cm 

text rdacontent 

unmediated rdamedia 

volume rdacarrier 
附註 
"The book describes how brain activity gives rise to electromagnetic fields, how these fields can be measured noninvasively with magnetoencephalography (MEG) or electroencephalography (EEG), and how the measured signals can be analyzed to determine the spatiotemporal evolution of the brain activity. The authors present a detailed and rigorous overview of the fundamentals of the physics and mathematics of MEG and EEG so readers can obtain full understanding of biomagnetism. Unlike in previous works on the subject, which have typically been collections of separate writings by different authors and different conventions, the material is presented in a unified manner. The book introduces the basics for data analysis and presents some powerful data analysis methods such as the minimumnorm estimate, beamforming, independent component analysis (ICA), and the MUSIC algorithm in the most modern forms. The authors' intent is to present an uncompromising description of the most relevant issues in this topic, avoiding many of the deficiencies of previous attempts to cover this field" Provided by publisher 

Includes bibliographical references (pages 205228) and index 

Introduction  Genesis of MEG and EEG  Forward problem  Review of linear algebra and probability theory for MEG and EEG data analysis  Interpreting MEG and EEG data  Beamformers  MUSIC algorithm for EEG and MEG  Independent component analysis (ICA)  Blind source separation with joint diagonalization 
主題 
Magnetoencephalography


Electroencephalography


Brain  Magnetic fields  Measurement

Alt Author 
Sarvas, Jukka, author

