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A model for obstructive sleep apnea detection using a multi-layer feed-forward neural network based on electrocardiogram, pulse oxygen saturation, and body mass index.
Li, Zufei; Li, Yanru; Zhao, Guoqiang; Zhang, Xiaoqing; Xu, Wen; Han, Demin.
Afiliação
  • Li Z; Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, People's Republic of China.
  • Li Y; Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, 100730, People's Republic of China.
  • Zhao G; Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, People's Republic of China.
  • Zhang X; Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, 100730, People's Republic of China.
  • Xu W; Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, People's Republic of China.
  • Han D; Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, 100730, People's Republic of China.
Sleep Breath ; 25(4): 2065-2072, 2021 12.
Article em En | MEDLINE | ID: mdl-33754247
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oximetria / Índice de Massa Corporal / Redes Neurais de Computação / Apneia Obstrutiva do Sono / Eletrocardiografia Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oximetria / Índice de Massa Corporal / Redes Neurais de Computação / Apneia Obstrutiva do Sono / Eletrocardiografia Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article