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EEG Signal Analysis and Classification
Yanchun Zhang
€ 183.68
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Description for EEG Signal Analysis and Classification
Hardback. Series: Health Information Science. Num Pages: 256 pages, 96 black & white illustrations, biography. BIC Classification: MBG; MQW; UYQ; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 573.
This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction of this vital information from EEG signals in order to accurately detect abnormalities revealed by the EEG. New methods will relieve the time-consuming and error-prone practices that are currently in use.
Common signal processing methodologies include wavelet transformation and Fourier transformation, but these methods are not capable of managing the size of EEG data. Addressing the issue, this book examines new EEG signal analysis approaches with a ... Read more
This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction of this vital information from EEG signals in order to accurately detect abnormalities revealed by the EEG. New methods will relieve the time-consuming and error-prone practices that are currently in use.
Common signal processing methodologies include wavelet transformation and Fourier transformation, but these methods are not capable of managing the size of EEG data. Addressing the issue, this book examines new EEG signal analysis approaches with a ... Read more
Product Details
Format
Hardback
Publication date
2017
Publisher
Springer International Publishing AG Switzerland
Number of pages
256
Condition
New
Series
Health Information Science
Number of Pages
256
Place of Publication
Cham, Switzerland
ISBN
9783319476520
SKU
V9783319476520
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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