A Bimanual Simulator for Optimizing Epidural Analgesia Skill Acquisition

Nitsan Davidor, Tamar Hayuni, Yair Binyamin, Ilana Nisky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The anesthesiologist's case experience is the main cause of the most common complications of epidural analgesia. We designed a bimanual simulator to train anesthesiologists and optimize epidural analgesia skill acquisition, and present a preliminary comparison between training with constant or varying parameters of the anatomy and tissue impedance on performance and subjective evaluation by trainees.

Original languageEnglish
Title of host publication2021 IEEE World Haptics Conference, WHC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages342
Number of pages1
ISBN (Electronic)9781665418713
DOIs
StatePublished - 6 Jul 2021
Event2021 IEEE World Haptics Conference, WHC 2021 - Virtual, Montreal, Canada
Duration: 6 Jul 20219 Jul 2021

Publication series

Name2021 IEEE World Haptics Conference, WHC 2021

Conference

Conference2021 IEEE World Haptics Conference, WHC 2021
Country/TerritoryCanada
CityVirtual, Montreal
Period6/07/219/07/21

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Control and Optimization
  • Sensory Systems

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