Description: EEG Signal Analysis and Classification by Siuly Siuly, Yan Li, Yanchun Zhang Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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. Publisher Description 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 combination of statistical techniques (e.g. random sampling, optimum allocation) and machine learning methods. The developed methods provide better results than the existing methods. The book also offers applications of the developedmethodologies that have been tested on several real-time benchmark databases.This book concludes with thoughts on the future of the field and anticipated research challenges. It gives new direction to the field of analysis and classification of EEG signals through these more efficient methodologies. Researchers and experts will benefit from its suggested improvements to the current computer-aided based diagnostic systems for the precise analysis and management of EEG signals. Details ISBN 3319837915 ISBN-13 9783319837918 Title EEG Signal Analysis and Classification Author Siuly Siuly, Yan Li, Yanchun Zhang Format Paperback Year 2018 Pages 256 Publisher Springer International Publishing AG GE_Item_ID:140481899; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 185.35 USD
Location: Fairfield, Ohio
End Time: 2025-01-22T09:25:10.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9783319837918
Book Title: EEG Signal Analysis and Classification
Number of Pages: Xiii, 256 Pages
Publication Name: Eeg Signal Analysis and Classification : Techniques and Applications
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Neurology, Signals & Signal Processing, Intelligence (Ai) & Semantics
Type: Textbook
Item Weight: 146.8 Oz
Author: Siuly Siuly, Yanchun Zhang, Yan Li
Item Length: 9.3 in
Subject Area: Computers, Technology & Engineering, Medical
Series: Health Information Science Ser.
Item Width: 6.1 in
Format: Trade Paperback
