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

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

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 = "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",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "342",

booktitle = "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

TY - GEN

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AU - Davidor, Nitsan

AU - Hayuni, Tamar

AU - Binyamin, Yair

AU - Nisky, Ilana

PY - 2021/7/6

Y1 - 2021/7/6

N2 - 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.

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.

UR - https://www.scopus.com/pages/publications/85115144414

U2 - 10.1109/WHC49131.2021.9517221

DO - 10.1109/WHC49131.2021.9517221

M3 - Conference contribution

AN - SCOPUS:85115144414

T3 - 2021 IEEE World Haptics Conference, WHC 2021

SP - 342

BT - 2021 IEEE World Haptics Conference, WHC 2021

PB - Institute of Electrical and Electronics Engineers

T2 - 2021 IEEE World Haptics Conference, WHC 2021

Y2 - 6 July 2021 through 9 July 2021

ER -

A Bimanual Simulator for Optimizing Epidural Analgesia Skill Acquisition

Abstract

Publication series

Conference

UN SDGs

ASJC Scopus subject areas

Access to Document

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