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Remote sensing of vital signs by medical radar time-series signal using cardiac peak extraction and adaptive peak detection algorithm: Performance validation on healthy adults and application to neonatal monitoring at an NICU.
Edanami, Keisuke; Kurosawa, Masaki; Yen, Hoang Thi; Kanazawa, Takeru; Abe, Yoshifusa; Kirimoto, Tetsuo; Yao, Yu; Matsui, Takemi; Sun, Guanghao.
Afiliação
  • Edanami K; Graduate School of Informatics and Engineering, The University of Electro-Communications, Denki Tsushin Daigaku, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan.
  • Kurosawa M; Graduate School of Informatics and Engineering, The University of Electro-Communications, Denki Tsushin Daigaku, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan.
  • Yen HT; Graduate School of Informatics and Engineering, The University of Electro-Communications, Denki Tsushin Daigaku, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan.
  • Kanazawa T; Children's Medical Center, Showa University Koto Toyosu Hospital, Tokyo, Japan.
  • Abe Y; Children's Medical Center, Showa University Koto Toyosu Hospital, Tokyo, Japan.
  • Kirimoto T; Graduate School of Informatics and Engineering, The University of Electro-Communications, Denki Tsushin Daigaku, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan.
  • Yao Y; Bosch Center for Artificial Intelligence, Renningen, Germany.
  • Matsui T; Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan.
  • Sun G; Graduate School of Informatics and Engineering, The University of Electro-Communications, Denki Tsushin Daigaku, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan. Electronic address: Guanghao.Sun@uec.ac.jp.
Comput Methods Programs Biomed ; 226: 107163, 2022 Nov.
Article em En | MEDLINE | ID: mdl-36191355
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Female / Humans / Male / Newborn Idioma: En Ano de publicação: 2022 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 Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Female / Humans / Male / Newborn Idioma: En Ano de publicação: 2022 Tipo de documento: Article