Identification of hypsarrhythmia in children with microcephaly infected by zika virus

Detalhes bibliográficos
Autor(a) principal: Sousa, Gean Carlos
Data de Publicação: 2019
Outros Autores: Queiroz, Claudio Marcos Teixeira de, Sousa, Patrícia, Lima, Priscila, Silva, Antônio Augusto Moura da, Pires, Nilviane, Barros, Allan Kardec
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/jspui/handle/123456789/26759
Resumo: Hypsarrhythmia is an electroencephalographic pattern specific to some epileptic syndromes that affect children under one year of age. The identification of this pattern, in some cases, causes disagreements between experts, which is worrisome since an inaccurate diagnosis can bring complications to the infant. Despite the difficulties in visually identifying hypsarrhythmia, options of computerized assistance are scarce. Aiming to collaborate with the recognition of this electropathological pattern, we propose in this paper a mathematical index that can help electroencephalography experts to identify hypsarrhythmia. We performed hypothesis tests that indicated significant differences in the groups under analysis, where the p-values were found to be extremely small.
id UFRN_bb754e55ce10a2d6d3371eadd6b2d73e
oai_identifier_str oai:https://repositorio.ufrn.br:123456789/26759
network_acronym_str UFRN
network_name_str Repositório Institucional da UFRN
repository_id_str
spelling Sousa, Gean CarlosQueiroz, Claudio Marcos Teixeira deSousa, PatríciaLima, PriscilaSilva, Antônio Augusto Moura daPires, NilvianeBarros, Allan Kardec2019-03-13T18:11:16Z2019-03-13T18:11:16Z2019-02-28SOUSA, G. C. et al. Identification of hypsarrhythmia in children with microcephaly infected by zika virus. Entropy, v. 21, n. 3, p. 232, fev. 2019.https://repositorio.ufrn.br/jspui/handle/123456789/2675910.3390/e21030232hypsarrhythmiaelectroencephalographicepilepticIdentification of hypsarrhythmia in children with microcephaly infected by zika virusinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleHypsarrhythmia is an electroencephalographic pattern specific to some epileptic syndromes that affect children under one year of age. The identification of this pattern, in some cases, causes disagreements between experts, which is worrisome since an inaccurate diagnosis can bring complications to the infant. Despite the difficulties in visually identifying hypsarrhythmia, options of computerized assistance are scarce. Aiming to collaborate with the recognition of this electropathological pattern, we propose in this paper a mathematical index that can help electroencephalography experts to identify hypsarrhythmia. We performed hypothesis tests that indicated significant differences in the groups under analysis, where the p-values were found to be extremely small.engreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNinfo:eu-repo/semantics/openAccessTEXTClaudioQueiroz_ICe_2019_Identification of Hypsarrhythmia.pdf.txtClaudioQueiroz_ICe_2019_Identification of Hypsarrhythmia.pdf.txtExtracted texttext/plain23762https://repositorio.ufrn.br/bitstream/123456789/26759/3/ClaudioQueiroz_ICe_2019_Identification%20of%20Hypsarrhythmia.pdf.txtc9f089ea45578cef2d166e23c028da0aMD53THUMBNAILClaudioQueiroz_ICe_2019_Identification of Hypsarrhythmia.pdf.jpgClaudioQueiroz_ICe_2019_Identification of Hypsarrhythmia.pdf.jpgGenerated Thumbnailimage/jpeg1625https://repositorio.ufrn.br/bitstream/123456789/26759/4/ClaudioQueiroz_ICe_2019_Identification%20of%20Hypsarrhythmia.pdf.jpgd4e3924e335042a56d981228e8350e10MD54ORIGINALClaudioQueiroz_ICe_2019_Identification of Hypsarrhythmia.pdfClaudioQueiroz_ICe_2019_Identification of Hypsarrhythmia.pdfClaudioQueiroz_ICe_2019_Identification of hypsarrhythmiaapplication/pdf963217https://repositorio.ufrn.br/bitstream/123456789/26759/1/ClaudioQueiroz_ICe_2019_Identification%20of%20Hypsarrhythmia.pdf23c1b5bf4cd697ac3fc721589b02cf00MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/26759/2/license.txte9597aa2854d128fd968be5edc8a28d9MD52123456789/267592021-07-08 12:29:39.921oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2021-07-08T15:29:39Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Identification of hypsarrhythmia in children with microcephaly infected by zika virus
title Identification of hypsarrhythmia in children with microcephaly infected by zika virus
spellingShingle Identification of hypsarrhythmia in children with microcephaly infected by zika virus
Sousa, Gean Carlos
hypsarrhythmia
electroencephalographic
epileptic
title_short Identification of hypsarrhythmia in children with microcephaly infected by zika virus
title_full Identification of hypsarrhythmia in children with microcephaly infected by zika virus
title_fullStr Identification of hypsarrhythmia in children with microcephaly infected by zika virus
title_full_unstemmed Identification of hypsarrhythmia in children with microcephaly infected by zika virus
title_sort Identification of hypsarrhythmia in children with microcephaly infected by zika virus
author Sousa, Gean Carlos
author_facet Sousa, Gean Carlos
Queiroz, Claudio Marcos Teixeira de
Sousa, Patrícia
Lima, Priscila
Silva, Antônio Augusto Moura da
Pires, Nilviane
Barros, Allan Kardec
author_role author
author2 Queiroz, Claudio Marcos Teixeira de
Sousa, Patrícia
Lima, Priscila
Silva, Antônio Augusto Moura da
Pires, Nilviane
Barros, Allan Kardec
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Sousa, Gean Carlos
Queiroz, Claudio Marcos Teixeira de
Sousa, Patrícia
Lima, Priscila
Silva, Antônio Augusto Moura da
Pires, Nilviane
Barros, Allan Kardec
dc.subject.por.fl_str_mv hypsarrhythmia
electroencephalographic
epileptic
topic hypsarrhythmia
electroencephalographic
epileptic
description Hypsarrhythmia is an electroencephalographic pattern specific to some epileptic syndromes that affect children under one year of age. The identification of this pattern, in some cases, causes disagreements between experts, which is worrisome since an inaccurate diagnosis can bring complications to the infant. Despite the difficulties in visually identifying hypsarrhythmia, options of computerized assistance are scarce. Aiming to collaborate with the recognition of this electropathological pattern, we propose in this paper a mathematical index that can help electroencephalography experts to identify hypsarrhythmia. We performed hypothesis tests that indicated significant differences in the groups under analysis, where the p-values were found to be extremely small.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-03-13T18:11:16Z
dc.date.available.fl_str_mv 2019-03-13T18:11:16Z
dc.date.issued.fl_str_mv 2019-02-28
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv SOUSA, G. C. et al. Identification of hypsarrhythmia in children with microcephaly infected by zika virus. Entropy, v. 21, n. 3, p. 232, fev. 2019.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/jspui/handle/123456789/26759
dc.identifier.doi.none.fl_str_mv 10.3390/e21030232
identifier_str_mv SOUSA, G. C. et al. Identification of hypsarrhythmia in children with microcephaly infected by zika virus. Entropy, v. 21, n. 3, p. 232, fev. 2019.
10.3390/e21030232
url https://repositorio.ufrn.br/jspui/handle/123456789/26759
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
instname_str Universidade Federal do Rio Grande do Norte (UFRN)
instacron_str UFRN
institution UFRN
reponame_str Repositório Institucional da UFRN
collection Repositório Institucional da UFRN
bitstream.url.fl_str_mv https://repositorio.ufrn.br/bitstream/123456789/26759/3/ClaudioQueiroz_ICe_2019_Identification%20of%20Hypsarrhythmia.pdf.txt
https://repositorio.ufrn.br/bitstream/123456789/26759/4/ClaudioQueiroz_ICe_2019_Identification%20of%20Hypsarrhythmia.pdf.jpg
https://repositorio.ufrn.br/bitstream/123456789/26759/1/ClaudioQueiroz_ICe_2019_Identification%20of%20Hypsarrhythmia.pdf
https://repositorio.ufrn.br/bitstream/123456789/26759/2/license.txt
bitstream.checksum.fl_str_mv c9f089ea45578cef2d166e23c028da0a
d4e3924e335042a56d981228e8350e10
23c1b5bf4cd697ac3fc721589b02cf00
e9597aa2854d128fd968be5edc8a28d9
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)
repository.mail.fl_str_mv
_version_ 1814832906833494016

Registros relacionados