Referenced Items are not available for this document.
Electroencephalograms (EEG) are the brain signals that provide us the valuable information about the normal or epileptic state of the brain. In this paper the EEG signals were characterized by wavelet, sample and spectral entropy approach and the recurrent neural network classifier is used for the automated detection of epileptic seizures.
Published in:
TENCON 2008 - 2008 IEEE Region 10 Conference
Date of Conference: 19-21 Nov. 2008
- Page(s):
- 1 - 5
- E-ISBN :
- 978-1-4244-2409-2
- Print ISBN:
- 978-1-4244-2408-5
- INSPEC Accession Number:
- 10470045
- Conference Location :
- Hyderabad
- Digital Object Identifier :
- 10.1109/TENCON.2008.4766836
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
