Using exoskeletons to assist medical staff during prone positioning of mechanically ventilated COVID-19 patients: a pilot study
| Autor: | Pauline Maurice, Laurent Claudon, Waldez Gomes, Jean-Jacques Atain-Kouadio, Antoine Kimmoun, Sergueï Malikov, Bruno Chenuel, Bruno Levy, Nicla Settembre, Hind Hani, Liên Wioland, Jean Paysant, Jean Theurel, Serena Ivaldi, Jean-Marc Sellal |
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| Přispěvatelé: | Lifelong Autonomy and interaction skills for Robots in a Sensing ENvironment (LARSEN), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Complex Systems, Artificial Intelligence & Robotics (LORIA - AIS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Institut national de recherche et de sécurité (Vandoeuvre lès Nancy) (INRS ( Vandoeuvre lès Nancy)), Centre universitaire d'enseignement par simulation - Hôpital virtuel de Lorraine [Nancy] (CUESim), Faculté de Médecine [Nancy], Université de Lorraine (UL)-Université de Lorraine (UL), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), European Project: 731540,H2020,An.Dy(2017), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
medicine.medical_specialty Medical staff Coronavirus disease 2019 (COVID-19) Computer Science - Artificial Intelligence DHM Human Factors Acute respiratory distress law.invention Computer Science - Robotics 03 medical and health sciences Exoskeletons 0302 clinical medicine law Medicine ECG analysis [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO] 0501 psychology and cognitive sciences 050107 human factors business.industry 05 social sciences COVID-19 University hospital Intensive care unit 3. Good health Exoskeleton Prone position Artificial Intelligence (cs.AI) Physical therapy business Prone Positioning Robotics (cs.RO) human activities 030217 neurology & neurosurgery |
| Zdroj: | AHFE 2021-12th International Conference on Applied Human Factors and Ergonomics AHFE 2021-12th International Conference on Applied Human Factors and Ergonomics, Jul 2021, New York, United States. pp.88, ⟨10.1007/978-3-030-80744-3_12⟩ 12th International Conference on Applied Human Factors and Ergonomics (AHFE 2021) 12th International Conference on Applied Human Factors and Ergonomics (AHFE 2021), Jul 2021, New York, United States. pp.88 Advances in Human Factors and Ergonomics in Healthcare and Medical Devices ISBN: 9783030807436 AHFE (5) |
| Popis: | International audience; We conducted a pilot study to evaluate the potential and feasibility of back-support exoskeletons to help the caregivers in the Intensive Care Unit (ICU) of the University Hospital of Nancy (France) executing Prone Positioning (PP) maneuvers on patients suffering from severe COVID-19-related Acute Respiratory Distress Syndrome. After comparing four commercial exoskeletons, the Laevo passive exoskeleton was selected and used in the ICU in April 2020. The first volunteers using the Laevo reported very positive feedback and reduction of effort, confirmed by EMG and ECG analysis. Laevo has been since used to physically assist during PP in the ICU of the Hospital of Nancy, following the recrudescence of COVID-19, with an overall positive feedback. |
| Databáze: | OpenAIRE |
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