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A Generic Deep Learning Based Cough Analysis System From Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels.
Andreu-Perez, Javier; Perez-Espinosa, Humberto; Timonet, Eva; Kiani, Mehrin; Giron-Perez, Manuel I; Benitez-Trinidad, Alma B; Jarchi, Delaram; Rosales-Perez, Alejandro; Gatzoulis, Nick; Reyes-Galaviz, Orion F; Torres-Garcia, Alejandro; Reyes-Garcia, Carlos A; Ali, Zulfiqar; Rivas, Francisco.
Afiliação
  • Andreu-Perez J; School of Computer Science and Electronic Engineering, Faculty of Science and HealthUniversity of Essex Colchester CO4 3SQ U.K.
  • Perez-Espinosa H; Department of Computer ScienceUniversity of Jaén 16747 Jaén Spain.
  • Timonet E; School of Computer Science and Electronic Engineering, Faculty of Science and HealthUniversity of Essex Colchester CO4 3SQ U.K.
  • Kiani M; UT3 Centro de Investigacion Cientifica y de Educacion Superior de Ensenada Ensenada 22860 Mexico.
  • Giron-Perez MI; Agencia Sanitaria Costa del SolJunta de Andalucia Consejeria de Salud 41020 Seville Spain.
  • Benitez-Trinidad AB; School of Computer Science and Electronic Engineering, Faculty of Science and HealthUniversity of Essex Colchester CO4 3SQ U.K.
  • Jarchi D; Autonomous University of Nayarit Tepic 63155 Mexico.
  • Rosales-Perez A; Autonomous University of Nayarit Tepic 63155 Mexico.
  • Gatzoulis N; School of Computer Science and Electronic Engineering, Faculty of Science and HealthUniversity of Essex Colchester CO4 3SQ U.K.
  • Reyes-Galaviz OF; Centro de Investigación en Matemáticas, A.C. (CIMAT) Guanajuato 36023 Mexico.
  • Torres-Garcia A; School of Computer Science and Electronic Engineering, Faculty of Science and HealthUniversity of Essex Colchester CO4 3SQ U.K.
  • Reyes-Garcia CA; INAOE Puebla 72840 Mexico.
  • Ali Z; INAOE Puebla 72840 Mexico.
  • Rivas F; INAOE Puebla 72840 Mexico.
IEEE Trans Serv Comput ; 15(3): 1220-1232, 2022 May.
Article em En | MEDLINE | ID: mdl-35936760

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article