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Artificial Intelligence for Detecting COVID-19 With the Aid of Human Cough, Breathing and Speech Signals: Scoping Review.
Husain, Mouzzam; Simpkin, Andrew; Gibbons, Claire; Talkar, Tanya; Low, Daniel; Bonato, Paolo; Ghosh, Satrajit S; Quatieri, Thomas; O'Keeffe, Derek T.
Afiliação
  • Husain M; Health Innovation Via Engineering (HIVE) Lab, Curam, Lero, School of MedicineLambe Institute for Translational ResearchNational University of Ireland Galway H91 TK33 Galway Ireland.
  • Simpkin A; School of Mathematics, Statistics and Applied MathematicsNational University of Ireland H91 TK33 Galway Ireland.
  • Gibbons C; Health Innovation Via Engineering (HIVE) Lab, Curam, Lero, School of MedicineLambe Institute for Translational ResearchNational University of Ireland Galway H91 TK33 Galway Ireland.
  • Talkar T; MIT Lincoln Laboratory Lexington MA 02421 USA.
  • Low D; Program in Speech and Hearing Bioscience and TechnologyHarvard Medical School Boston MA 02115 USA.
  • Bonato P; Program in Speech and Hearing Bioscience and TechnologyHarvard Medical School Boston MA 02115 USA.
  • Ghosh SS; MIT McGovern Institute for Brain Research, Cambridge MA 02139 USA.
  • Quatieri T; Department of Physical Medicine and RehabilitationHarvard Medical School, Spaulding Rehabilitation Hospital Boston MA USA.
  • O'Keeffe DT; Program in Speech and Hearing Bioscience and TechnologyHarvard Medical School Boston MA 02115 USA.
IEEE Open J Eng Med Biol ; 3: 235-241, 2022.
Article em En | MEDLINE | ID: mdl-36819937
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Idioma: En Ano de publicação: 2022 Tipo de documento: Article