A Bimanual Simulator for Optimizing Epidural Analgesia Skill Acquisition

Nitsan Davidor; Tamar Hayuni; Yair Binyamin; Ilana Nisky

doi:10.1109/WHC49131.2021.9517221

A Bimanual Simulator for Optimizing Epidural Analgesia Skill Acquisition

Nitsan Davidor, Tamar Hayuni, Yair Binyamin, Ilana Nisky

Department of Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2021 IEEE World Haptics Conference, WHC 2021
Publisher	Institute of Electrical and Electronics Engineers
Pages	342
Number of pages	1
ISBN (Electronic)	9781665418713
DOIs	https://doi.org/10.1109/WHC49131.2021.9517221
State	Published - 6 Jul 2021
Event	2021 IEEE World Haptics Conference, WHC 2021 - Virtual, Montreal, Canada Duration: 6 Jul 2021 → 9 Jul 2021

Publication series

Name	2021 IEEE World Haptics Conference, WHC 2021

Conference

Conference	2021 IEEE World Haptics Conference, WHC 2021
Country/Territory	Canada
City	Virtual, Montreal
Period	6/07/21 → 9/07/21

ASJC Scopus subject areas

Human-Computer Interaction
Control and Optimization
Sensory Systems

Access to Document

10.1109/WHC49131.2021.9517221

Cite this

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title = "A Bimanual Simulator for Optimizing Epidural Analgesia Skill Acquisition",

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.",

author = "Nitsan Davidor and Tamar Hayuni and Yair Binyamin and Ilana Nisky",

note = "Funding Information: *Research supported by the ISF (grant 327/20), the MOST via the Israel-Italy virtual lab on Artificial Somatosensation for Humans and Humanoids, and the ABC Robotics Initiative of Ben-Gurion University of Negev, Israel 1N. Davidor and I. Nisky are with the Department of Biomedical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel (e-mail: nitsanti@post.bgu.ac.il, nisky@bgu.ac.il) 2T. Hayuni and Y. Binyamin are with Anesthesia Department, Soroka University Medical Center, Beer-Sheva, Israel (e-mail: tamarhayuni@gmail.com, yairben1@gmail.com). Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE World Haptics Conference, WHC 2021 ; Conference date: 06-07-2021 Through 09-07-2021",

year = "2021",

month = jul,

day = "6",

doi = "10.1109/WHC49131.2021.9517221",

language = "English",

series = "2021 IEEE World Haptics Conference, WHC 2021",

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Davidor, N, Hayuni, T, Binyamin, Y & Nisky, I 2021, A Bimanual Simulator for Optimizing Epidural Analgesia Skill Acquisition. in 2021 IEEE World Haptics Conference, WHC 2021. 2021 IEEE World Haptics Conference, WHC 2021, Institute of Electrical and Electronics Engineers, pp. 342, 2021 IEEE World Haptics Conference, WHC 2021, Virtual, Montreal, Canada, 6/07/21. https://doi.org/10.1109/WHC49131.2021.9517221

A Bimanual Simulator for Optimizing Epidural Analgesia Skill Acquisition. / Davidor, Nitsan; Hayuni, Tamar; Binyamin, Yair et al.

2021 IEEE World Haptics Conference, WHC 2021. Institute of Electrical and Electronics Engineers, 2021. p. 342 (2021 IEEE World Haptics Conference, WHC 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N1 - Funding Information: *Research supported by the ISF (grant 327/20), the MOST via the Israel-Italy virtual lab on Artificial Somatosensation for Humans and Humanoids, and the ABC Robotics Initiative of Ben-Gurion University of Negev, Israel 1N. Davidor and I. Nisky are with the Department of Biomedical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel (e-mail: nitsanti@post.bgu.ac.il, nisky@bgu.ac.il) 2T. Hayuni and Y. Binyamin are with Anesthesia Department, Soroka University Medical Center, Beer-Sheva, Israel (e-mail: tamarhayuni@gmail.com, yairben1@gmail.com). Publisher Copyright: © 2021 IEEE.

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AB - 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.

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A Bimanual Simulator for Optimizing Epidural Analgesia Skill Acquisition

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ASJC Scopus subject areas

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