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Supervisory Algorithm for Autonomous Hemodynamic Management Systems.
Snider, Eric J; Vega, Saul J; Ross, Evan; Berard, David; Hernandez-Torres, Sofia I; Salinas, Jose; Boice, Emily N.
Afiliação
  • Snider EJ; Engineering, Technology, and Automation Group, U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston, San Antonio, TX 78234, USA.
  • Vega SJ; Engineering, Technology, and Automation Group, U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston, San Antonio, TX 78234, USA.
  • Ross E; Blood and Shock Resuscitation Group, United States Army Institute of Surgical Research, JBSA Fort Sam Houston, San Antonio, TX 78234, USA.
  • Berard D; Engineering, Technology, and Automation Group, U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston, San Antonio, TX 78234, USA.
  • Hernandez-Torres SI; Engineering, Technology, and Automation Group, U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston, San Antonio, TX 78234, USA.
  • Salinas J; Engineering, Technology, and Automation Group, U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston, San Antonio, TX 78234, USA.
  • Boice EN; Engineering, Technology, and Automation Group, U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston, San Antonio, TX 78234, USA.
Sensors (Basel) ; 22(2)2022 Jan 11.
Article em En | MEDLINE | ID: mdl-35062489

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina Militar Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina Militar Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article