Actions
  • shareshare
  • link
  • cite
  • add
add
auto_awesome_motion View all 8 versions
Publication . Part of book or chapter of book . Preprint . Conference object . Article . 2021

Using exoskeletons to assist medical staff during prone positioning of mechanically ventilated COVID-19 patients: a pilot study

Serena Ivaldi; Pauline Maurice; Waldez Gomes; Jean Theurel; Liên Wioland; Jean-Jacques Atain-Kouadio; Laurent Claudon; +8 Authors
Open Access
English
Published: 25 Jul 2021
Publisher: HAL CCSD
Country: France
Abstract

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.

Subjects by Vocabulary

Medical Subject Headings: human activities

Microsoft Academic Graph classification: Medical staff ECG analysis University hospital Medicine business.industry business Acute respiratory distress Intensive care unit law.invention law Prone position Coronavirus disease 2019 (COVID-19) Physical therapy medicine.medical_specialty Exoskeleton

Subjects

DHM, Prone Positioning, Exoskeletons, COVID-19, Human Factors, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], Robotics (cs.RO), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, Computer Science - Robotics, Computer Science - Artificial Intelligence

Funded by
EC| An.Dy
Project
An.Dy
Advancing Anticipatory Behaviors in Dyadic Human-Robot Collaboration
  • Funder: European Commission (EC)
  • Project Code: 731540
  • Funding stream: H2020 | RIA
Related to Research communities
COVID-19
Download fromView all 5 sources
lock_open
http://arxiv.org/pdf/2102.0876...
Part of book or chapter of book
Providers: UnpayWall
moresidebar