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Publicação:
Sample Entropy Signatures: A new way to interpret SampEn values[Formula presented]

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dc.contributor.authorRozendo, Guilherme Botazzo [UNESP]
dc.contributor.authordo Nascimento, Marcelo Zanchetta
dc.contributor.authorRoberto, Guilherme Freire
dc.contributor.authorde Faria, Paulo Rogério
dc.contributor.authorSilva, Adriano Barbosa
dc.contributor.authorTosta, Thaína Aparecida Azevedo
dc.contributor.authorNeves, Leandro Alves [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Federal de Uberlândia (UFU)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2023-03-01T20:51:30Z
dc.date.available2023-03-01T20:51:30Z
dc.date.issued2022-08-01
dc.description.abstractWe present the Sample Entropy Signatures method, which provides a new way to represent images via Sample entropy (SampEn). The proposed method defines texture signatures from multiple SampEn values obtained from combinations of the parameters m and r. Here, m signatures were determined (m ranging from 1 to 4), with r points each (r ranging from 0.06 to 0.4), and the behavior of each signature was determined by the metrics: area under the curve, skewness, maximum entropy value, and area ratio. This approach aimed to improve the quantitative capacity of SampEn and provide a new interpretation of its values.en
dc.description.affiliationDepartment of Computer Science and Statistics (DCCE) São Paulo State University (UNESP), Rua Cristóvão Colombo, 2265
dc.description.affiliationFaculty of Computer Science (FACOM) - Federal University of Uberlândia (UFU), Avenida João Naves de Ávila 2121, Bl.B
dc.description.affiliationDepartment of Histology and Morphology Institute of Biomedical Science Federal University of Uberlândia (UFU), Av. Amazonas, S/N
dc.description.affiliationScience and Technology Institute Federal University of São Paulo (UNIFESP), Avenida Cesare Mansueto Giulio Lattes, 1201
dc.description.affiliationUnespDepartment of Computer Science and Statistics (DCCE) São Paulo State University (UNESP), Rua Cristóvão Colombo, 2265
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
dc.description.sponsorshipIdCNPq: #311404/2021-9
dc.description.sponsorshipIdCNPq: #313643/2021-0
dc.description.sponsorshipIdFAPEMIG: #APQ-00578-18
dc.identifierhttp://dx.doi.org/10.1016/j.simpa.2022.100329
dc.identifier.citationSoftware Impacts, v. 13.
dc.identifier.doi10.1016/j.simpa.2022.100329
dc.identifier.issn2665-9638
dc.identifier.scopus2-s2.0-85132535569
dc.identifier.urihttp://hdl.handle.net/11449/241203
dc.language.isoeng
dc.relation.ispartofSoftware Impacts
dc.sourceScopus
dc.subjectFeature extraction
dc.subjectPattern recognition
dc.subjectSampEn signatures
dc.subjectSample entropy
dc.subjectSignature metrics
dc.subjectTexture signatures
dc.titleSample Entropy Signatures: A new way to interpret SampEn values[Formula presented]en
dc.typeArtigo
dspace.entity.typePublication
unesp.author.orcid0000-0002-4123-8264[1]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentCiências da Computação e Estatística - IBILCEpt

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São José do Rio Preto - IBILCE - Instituto de Biociências, Letras e Ciências Exatas