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Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals.
Urdal, Jarle; Engan, Kjersti; Eftestøl, Trygve; Naranjo, Valery; Haug, Ingunn Anda; Yeconia, Anita; Kidanto, Hussein; Ersdal, Hege.
  • Urdal J; Department of Electrical Engineering and Computer Science, University of Stavanger, Norway. Electronic address: jarle.urdal@uis.no.
  • Engan K; Department of Electrical Engineering and Computer Science, University of Stavanger, Norway. Electronic address: kjersti.engan@uis.no.
  • Eftestøl T; Department of Electrical Engineering and Computer Science, University of Stavanger, Norway.
  • Naranjo V; Instituto de Investigación e Innovación en Bioingeniera (I3B), Universitat Politécnica de Valéncia, Spain.
  • Haug IA; Strategic Research, Laerdal Medical AS, Stavanger, Norway.
  • Yeconia A; Haydom Lutheran Hospital, Haydom, Manyara, Tanzania.
  • Kidanto H; School of Medicine, Aga Khan University, Dar es Salaam, Tanzania.
  • Ersdal H; Department of Anesthesiology and Intensive Care, Stavanger University Hospital, Norway; Dep. of Health Sciences, University of Stavanger, Norway.
Comput Methods Programs Biomed ; 193: 105445, 2020 Sep.
Article en En | MEDLINE | ID: mdl-32283386
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Asfixia Neonatal Tipo de estudio: Diagnostic_studies Límite: Humans / Newborn Idioma: En Año: 2020 Tipo del documento: Article
Texto completo
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PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Asfixia Neonatal Tipo de estudio: Diagnostic_studies Límite: Humans / Newborn Idioma: En Año: 2020 Tipo del documento: Article