EEG Signal Processing: Feature extraction, selection and classification methods

Wai Yie Leong

ISBN 10: 1785613707 / ISBN 13: 9781785613708

Editore: Institution of Engineering and Technology, 2019

Riguardo questo articolo

This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.

Codice articolo C9781785613708

Dati bibliografici

• Titolo: EEG Signal Processing: Feature extraction, selection and classification methods
• Editore: Institution of Engineering and Technology
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 1785613707
• ISBN 13: 9781785613708
• Rilegatura: Hardback
• Condizione: New
• Peso: 526 grammi

Descrizione articolo

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.