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Artefact in Physiological Data Collected from Patients with Brain Injury: Quantifying the Problem and Providing a Solution Using a Factorial Switching Linear Dynamical Systems Approach.
Georgatzis, Konstantinos; Lal, Partha; Hawthorne, Christopher; Shaw, Martin; Piper, Ian; Tarbert, Claire; Donald, Rob; Williams, Christopher K I.
Afiliação
  • Georgatzis K; School of Informatics, University of Edinburgh, Edinburgh, UK.
  • Lal P; School of Informatics, University of Edinburgh, Edinburgh, UK.
  • Hawthorne C; Academic Unit of Anaesthesia, Pain and Critical Care Medicine, University of Glasgow, Level 4, Walton Building, Glasgow Royal Infirmary, 84 Castle Street, Glasgow, G4 0SF, UK. Christopher.Hawthorne@glasgow.ac.uk.
  • Shaw M; Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, UK.
  • Piper I; Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, UK.
  • Tarbert C; Department of Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, UK.
  • Donald R; School of Mathematics and Statistics, University of Glasgow, Glasgow, UK.
  • Williams CK; School of Informatics, University of Edinburgh, Edinburgh, UK.
Acta Neurochir Suppl ; 122: 301-5, 2016.
Article em En | MEDLINE | ID: mdl-27165926

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Artefatos / Hipertensão Intracraniana / Hipotensão / Monitorização Fisiológica Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Acta Neurochir Suppl Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Artefatos / Hipertensão Intracraniana / Hipotensão / Monitorização Fisiológica Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Acta Neurochir Suppl Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido