Main description:

Electroencephalography (EEG) is an electrophysiological monitoring method used to record the brain activity in brain-computer interface (BCI) systems. It records the electrical activity of the brain, is typically non-invasive with electrodes placed along the scalp, requires relatively simple and inexpensive equipment, and is easier to use than other methods.

EEG-based BCI methods provide modest speed and accuracy which is why multichannel systems and proper signal processing methods are used for feature extraction, feature selection and feature classification to discriminate among several mental tasks. This edited book presents state of the art aspects of EEG signal processing methods, with an emphasis on advanced strategies, case studies, clinical practices and applications such as EEG for meditation, auditory selective attention, sleep apnoea; person authentication; handedness detection, Parkinson's disease, motor imagery, smart air travel support and brain signal classification.

Contents:

Chapter 1: EEG extraction for meditation
Chapter 2: EEG in auditory selective attention
Chapter 3: Investigating EEG signal detection, feature optimisation, and extraction method for sleep apnea
Chapter 4: Person authentication using electroencephalogram (EEG) brainwaves signals
Chapter 5: Handedness detection system
Chapter 6: Parkinson's disease feature extraction
Chapter 7: Source analysis in motor imagery EEG BCI applications
Chapter 8: Evaluation for smart air travel support system
Chapter 9: Brain signal classification using normalisation
Chapter 10: The biometric brain dermatoglyphic neural architecture (DNA): brain power at your fingertips
Chapter 11: Electrocardiography: overview, preparation, and technique
Chapter 12: Blind source separation for OSAS: data extraction