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Detection of a Stroke Volume Decrease by Machine-Learning Algorithms Based on Thoracic Bioimpedance in Experimental Hypovolaemia.
Stetzuhn, Matthias; Tigges, Timo; Pielmus, Alexandru Gabriel; Spies, Claudia; Middel, Charlotte; Klum, Michael; Zaunseder, Sebastian; Orglmeister, Reinhold; Feldheiser, Aarne.
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  • Stetzuhn M; Department of Anaesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany.
  • Tigges T; Department of Electronics and Medical Signal Processing, Technical University, 10587 Berlin, Germany.
  • Pielmus AG; Department of Electronics and Medical Signal Processing, Technical University, 10587 Berlin, Germany.
  • Spies C; Department of Anaesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany.
  • Middel C; Department of Anaesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany.
  • Klum M; Department of Electronics and Medical Signal Processing, Technical University, 10587 Berlin, Germany.
  • Zaunseder S; Faculty of Information Technology, Fachhochschule Dortmund-University of Applied Sciences and Arts, 44139 Dortmund, Germany.
  • Orglmeister R; Department of Electronics and Medical Signal Processing, Technical University, 10587 Berlin, Germany.
  • Feldheiser A; Department of Anaesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany.
Sensors (Basel) ; 22(14)2022 Jul 06.
Article en En | MEDLINE | ID: mdl-35890746
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Hipovolemia / Presión Negativa de la Región Corporal Inferior Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Hipovolemia / Presión Negativa de la Región Corporal Inferior Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article