Adaptive Processing Of Brain Signals Saeid Saneiauth by Saeid Sanei(auth.) 9780470686133, 9781118622162, 0470686138, 1118622162 instant download after payment.

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

Content:
Chapter 1 Brain Signals, Their Generation, Acquisition and Properties (pages 1–36):
Chapter 2 Fundamentals of EEG Signal Processing (pages 37–44):
Chapter 3 EEG Signal Modelling (pages 45–71):
Chapter 4 Signal Transforms and Joint Time–Frequency Analysis (pages 72–89):
Chapter 5 Chaos and Dynamical Analysis (pages 90–100):
Chapter 6 Classification and Clustering of Brain Signals (pages 101–117):
Chapter 7 Blind and Semi?Blind Source Separation (pages 118–158):
Chapter 8 Connectivity of Brain Regions (pages 159–187):
Chapter 9 Detection and Tracking of Event?Related Potentials (pages 188–222):
Chapter 10 Mental Fatigue (pages 223–244):
Chapter 11 Emotion Encoding, Regulation and Control (pages 245–273):
Chapter 12 Sleep and Sleep Apnoea (pages 274–294):
Chapter 13 Brain–Computer Interfacing (pages 295–324):
Chapter 14 EEG and MEG Source Localization (pages 325–359):
Chapter 15 Seizure and Epilepsy (pages 360–396):
Chapter 16 Joint Analysis of EEG and fMRI (pages 397–431):