Automatic Detection of Paroxysms in EEG Signals Using Morphological Descriptors and Artificial Neural Networks

None

Saved in:
Bibliographic Details
Main Authors: Boos, Christine F., Scolaro, Fernando M. de Azevedo Geovani R., Pereira, Maria do Carmo V.
Format: Electronic Book Chapter
Language:English
Published: IntechOpen 2011
Subjects:
Online Access:https://www.intechopen.com/chapters/12917
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1839561201637392384
author Boos, Christine F.
Scolaro, Fernando M. de Azevedo Geovani R.
Pereira, Maria do Carmo V.
author_facet Boos, Christine F.
Scolaro, Fernando M. de Azevedo Geovani R.
Pereira, Maria do Carmo V.
author_sort Boos, Christine F.
collection InTech Open eBooks
description None
doi_str_mv 10.5772/13444
first_indexed 2025-08-04T21:17:51Z
format Electronic
Book Chapter
fullrecord <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><identifier>InTech-12917</identifier><datestamp>2011-01-08</datestamp> <dc:title>Automatic Detection of Paroxysms in EEG Signals Using Morphological Descriptors and Artificial Neural Networks</dc:title> <dc:creator>Christine F. Boos</dc:creator> <dc:creator>Fernando M. de Azevedo Geovani R. Scolaro</dc:creator> <dc:creator>Maria do Carmo V. Pereira</dc:creator> <dc:subject>Physical Sciences, Engineering and Technology</dc:subject> <dc:description>None</dc:description> <dc:publisher>IntechOpen</dc:publisher> <dc:date>2011-01-08</dc:date> <dc:type>Chapter, Part Of Book</dc:type> <dc:identifier>https://www.intechopen.com/chapters/12917</dc:identifier> <dc:identifier>doi:10.5772/13444</dc:identifier> <dc:language>en</dc:language> <dc:relation>ISBN:978-953-307-475-7</dc:relation> <dc:rights>https://creativecommons.org/licenses/by-nc-sa/3.0/</dc:rights> <dc:source>https://www.intechopen.com/books/16 ; Biomedical Engineering, Trends in Electronics, Communications and Software</dc:source> </oai_dc:dc>
id InTech-12917
institution Matheson Library
isbn 978-953-307-475-7
language English
last_indexed 2025-08-04T21:17:51Z
publishDate 2011
publisher IntechOpen
record_format intech
spelling InTech-129172011-01-08 Automatic Detection of Paroxysms in EEG Signals Using Morphological Descriptors and Artificial Neural Networks Christine F. Boos Fernando M. de Azevedo Geovani R. Scolaro Maria do Carmo V. Pereira Physical Sciences, Engineering and Technology None IntechOpen 2011-01-08 Chapter, Part Of Book https://www.intechopen.com/chapters/12917 doi:10.5772/13444 en ISBN:978-953-307-475-7 https://creativecommons.org/licenses/by-nc-sa/3.0/ https://www.intechopen.com/books/16 ; Biomedical Engineering, Trends in Electronics, Communications and Software
spellingShingle Physical Sciences, Engineering and Technology
Boos, Christine F.
Scolaro, Fernando M. de Azevedo Geovani R.
Pereira, Maria do Carmo V.
Automatic Detection of Paroxysms in EEG Signals Using Morphological Descriptors and Artificial Neural Networks
title Automatic Detection of Paroxysms in EEG Signals Using Morphological Descriptors and Artificial Neural Networks
title_full Automatic Detection of Paroxysms in EEG Signals Using Morphological Descriptors and Artificial Neural Networks
title_fullStr Automatic Detection of Paroxysms in EEG Signals Using Morphological Descriptors and Artificial Neural Networks
title_full_unstemmed Automatic Detection of Paroxysms in EEG Signals Using Morphological Descriptors and Artificial Neural Networks
title_short Automatic Detection of Paroxysms in EEG Signals Using Morphological Descriptors and Artificial Neural Networks
title_sort automatic detection of paroxysms in eeg signals using morphological descriptors and artificial neural networks
topic Physical Sciences, Engineering and Technology
url https://www.intechopen.com/chapters/12917
work_keys_str_mv AT booschristinef automaticdetectionofparoxysmsineegsignalsusingmorphologicaldescriptorsandartificialneuralnetworks
AT scolarofernandomdeazevedogeovanir automaticdetectionofparoxysmsineegsignalsusingmorphologicaldescriptorsandartificialneuralnetworks
AT pereiramariadocarmov automaticdetectionofparoxysmsineegsignalsusingmorphologicaldescriptorsandartificialneuralnetworks