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Sleep-spindle detection: crowdsourcing and evaluating performance of experts, non-experts and automated methods.
Warby, Simon C; Wendt, Sabrina L; Welinder, Peter; Munk, Emil G S; Carrillo, Oscar; Sorensen, Helge B D; Jennum, Poul; Peppard, Paul E; Perona, Pietro; Mignot, Emmanuel.
Afiliação
  • Warby SC; Center for Sleep Science and Medicine, Stanford University, Stanford, California, USA.
  • Wendt SL; 1] Center for Sleep Science and Medicine, Stanford University, Stanford, California, USA. [2] Danish Center for Sleep Medicine, Glostrup University Hospital, Glostrup, Denmark.
  • Welinder P; Computational Vision Laboratory, California Institute of Technology, Pasadena, California, USA.
  • Munk EG; 1] Center for Sleep Science and Medicine, Stanford University, Stanford, California, USA. [2] Danish Center for Sleep Medicine, Glostrup University Hospital, Glostrup, Denmark.
  • Carrillo O; Center for Sleep Science and Medicine, Stanford University, Stanford, California, USA.
  • Sorensen HB; Department of Electrical Engineering, Technical University of Denmark, Kongens Lyngby, Denmark.
  • Jennum P; Danish Center for Sleep Medicine, Glostrup University Hospital, Glostrup, Denmark.
  • Peppard PE; Department of Population Health Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA.
  • Perona P; Computational Vision Laboratory, California Institute of Technology, Pasadena, California, USA.
  • Mignot E; Center for Sleep Science and Medicine, Stanford University, Stanford, California, USA.
Nat Methods ; 11(4): 385-92, 2014 Apr.
Article em En | MEDLINE | ID: mdl-24562424
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fases do Sono / Automação / Eletroencefalografia / Crowdsourcing Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Aged / Humans / Middle aged Idioma: En Ano de publicação: 2014 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fases do Sono / Automação / Eletroencefalografia / Crowdsourcing Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Aged / Humans / Middle aged Idioma: En Ano de publicação: 2014 Tipo de documento: Article