EEG Signal Processing: Feature extraction, selection and classification methods (Healthcare Technologies)

ISBN 10: 1785613707 / ISBN 13: 9781785613708

Editore: The Institution of Engineering and Technology, 2019

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Dati bibliografici

• Titolo: EEG Signal Processing: Feature extraction, selection and classification methods (Healthcare Technologies)
• Editore: The Institution of Engineering and Technology
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 1785613707
• ISBN 13: 9781785613708
• Rilegatura: Rilegato
• Condizione: New

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Riassunto

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.