Sanei Adaptive Processing of Brain Signals

1. Auflage 2013
ISBN: 978-1-118-62215-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 472 Seiten, E-Book

In this book, the field of adaptive learning and processing is extended to arguably one of its most important contexts which is the understanding and analysis of brain signals. No attempt is made to comment on physiological aspects of brain activity; instead, signal processing methods are developed and used to assist clinical findings. Recent developments in detection, estimation and separation of diagnostic cues from different modality neuroimaging systems are discussed.

These include constrained nonlinear signal processing techniques which incorporate sparsity, nonstationarity, multimodal data, and multiway techniques.

Key features:

* Covers advanced and adaptive signal processing techniques for the processing of electroencephalography (EEG) and magneto-encephalography (MEG) signals, and their correlation to the corresponding functional magnetic resonance imaging (fMRI)

* Provides advanced tools for the detection, monitoring, separation, localising and understanding of functional, anatomical, and physiological abnormalities of the brain

* Puts a major emphasis on brain dynamics and how this can be evaluated for the assessment of brain activity in various states such as for brain-computer interfacing emotions and mental fatigue analysis

* Focuses on multimodal and multiway adaptive processing of brain signals, the new direction of brain signal research

Autoren/Hrsg.

Sanei, Saeid

Über Autor(innen)

Dr Saeid Sanei, Reader in Biomedical Signal Processing andDeputy Head of Computing Department, Faculty of Engineering andPhysical Sciences, University of Surrey, Guildford,Surrey, United Kingdom.
Dr Sanei received his PhD from Imperial College of Science,Technology and Medicine, London, in Biomedical Signal and ImageProcessing in 1991. He has made a major contribution toElectroencephalogram (EEG) analysis; blind source separation,sparse component analysis and compressive sensing; parallel factoranalysis and tensor factorization; particle filtering; chaos andtime series analysis; support vector machines; hidden Markovmodels; and brain computer interfacing (BCI).He has published over180 papers in refereed journals and conference proceedings, and abook on EEG Signal Processing. He has served as an editor, memberof the technical committee, and reviewer for a number of journalsand conferences, and has recently been selected as the BiomedicalSignal Processing Track Chair for the IEEE Engineering in Medicineand Biology Conference 2009. His international collaborationsinvolve both educational and industrial organizations, includingthe RIKEN Brain Science Research Institute in Japan. He alsoteaches extensively at both undergraduate and postgraduatelevel.