EEG Signal Processing - Feature extraction, selection and classification methods

This book focuses on the feature extraction methods used in Electroencephalographic (EEG) signal processing. It presents state-of-the-art aspects of EEG interpretation and the value of EEG; gives practical tips on interpretation and covers specific areas where EEG is most useful.

List of 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

Summary

This book focuses on the feature extraction methods used in Electroencephalographic (EEG) signal processing. It presents state-of-the-art aspects of EEG interpretation and the value of EEG; gives practical tips on interpretation and covers specific areas where EEG is most useful.

Product details

• Assisted by: Wai Yie Leong (Editor), Wai Yie (Professor Leong (Editor)
• Publisher: Institution of Engineering and Technology
• Languages: English
• Product format: Hardback
• Released: 31.05.2019
• EAN: 9781785613708
• ISBN: 978-1-78561-370-8
• No. of pages: 296
• Dimensions: 244 mm x 162 mm x 22 mm
• Weight: 594 g
• Series: Healthcare Technologies; Healthcare Technologies
• Subject: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering