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Automated EEG-based diagnosis of neurological disorders : inventing the future of neurology

Author: Hojjat Adeli; Samanwoy Ghosh-Dastidar
Publisher: Boca Raton, FL : CRC Press/Taylor & Francis, ©2010.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Inventing the Future of Neurology based on the authors' groundbreaking research, this book presents a research ideology, a novel multi-paradigm methodology, and advanced computational models for the automated EEG-based diagnosis of neurological disorders. It is based on the ingenious integration of three different computing technologies and problem-solving paradigms: neural networks, wavelets, and chaos theory. The  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Adeli, Hojjat, 1950-
Automated EEG-based diagnosis of neurological disorders.
Boca Raton, FL : CRC Press/Taylor & Francis, ©2010
(DLC) 2009051516
(OCoLC)457164523
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Hojjat Adeli; Samanwoy Ghosh-Dastidar
ISBN: 9781439815311 1439815313 9781439815328 1439815321 1282902814 9781282902817
OCLC Number: 669496208
Description: 1 online resource (xxxvi, 387 pages) : illustrations
Contents: Time-frequency analysis : wavelet transforms --
Chaos theory --
Classifier designs --
Electroencephalograms and epilepsy --
Analysis of EEGs in an epileptic patient using wavelet transform --
Wavelet-chaos methodology for analysis of EEGs and EEG sub-bands --
Mixed-band wavelet-chaos neural network methodology --
Principal component analysis-enhanced cosine radial basis function neural network --
Alzheimer's disease and models of computation : imaging, classification, and neural models --
Alzheimer's disease : models of computation and analysis of EEGs --
A spatio-temporal wavelet-chaos methodology for EEG-based diagnosis of Alzheimer's disease --
Spiking neural networks : spiking neurons and learning algorithms --
Improved spiking neural networks with application to EEG classification and epilepsy and seizure detection --
A new supervised learning algorithm for multiple spiking neural networks --
Applications of multiple spiking neural networks : EEG classification and epilepsy and seizure detection.
Responsibility: Hojjat Adeli, Samanwoy Ghosh-Dastidar ; in corroboration with Nahid Dadmehr.
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Abstract:

Presents a novel approach for automated EEG-based diagnosis of neurological disorders such as epilepsy. This book introduces three computing and problem solving paradigms: neural networks, wavelets,  Read more...

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