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Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea.
Korkalainen, Henri; Aakko, Juhani; Duce, Brett; Kainulainen, Samu; Leino, Akseli; Nikkonen, Sami; Afara, Isaac O; Myllymaa, Sami; Töyräs, Juha; Leppänen, Timo.
Afiliação
  • Korkalainen H; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
  • Aakko J; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
  • Duce B; CGI Suomi Oy, Helsinki, Finland.
  • Kainulainen S; Department of Respiratory and Sleep Medicine, Sleep Disorders Centre, Princess Alexandra Hospital, Brisbane, Queensland, Australia.
  • Leino A; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
  • Nikkonen S; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
  • Afara IO; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
  • Myllymaa S; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
  • Töyräs J; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
  • Leppänen T; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Sleep ; 43(11)2020 11 12.
Article em En | MEDLINE | ID: mdl-32436942
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndromes da Apneia do Sono / Aprendizado Profundo Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndromes da Apneia do Sono / Aprendizado Profundo Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article