NDLI: A new learning method for obstetric gestures using the BirthSIM simulator

Content Provider	IEEE Xplore Digital Library
Author	Moreau, R. Pham, M.T. Redarce, T. Dupuis, O.
Copyright Year	2007
Description	Author affiliation: Lab. Ampere, INSA-Lyon, Lyon (Moreau, R.; Pham, M.T.; Redarce, T.)
Abstract	Today, medical simulators are increasingly gaining attraction in clinical settings. These tools allow physicians to visualize the positions of organs, plan surgical interventions, and carry out more comprehensive post operative monitoring. A childbirth simulator provides a risk-free training and research tool for comparing various techniques that use obstetrical instruments or validating new methods. This paper presents a new teaching method to place forceps blades for obstetricians using an instrumented childbirth simulator. The proposed method is based on a physical simulator coupled with a computer graphics interface. Another aspect of this paper is to provide understanding marks to quantify the progression during a training. A first one allows to study the path in space and to quantify their repeatability, a second one allows to compute the error to a reference gesture defined by an expert. Both marks are complementary. Two novices were trained and they manage to have a more repeatable gesture and above all to become closer to a reference gesture, i.e. to reduce the injury linked to the use of forceps during instrumental deliveries.
Sponsorship	IEEE Robotics and Automation Soc
Starting Page	2279
Ending Page	2284
File Size	896770
Page Count	6
File Format	PDF
ISBN	1424406013
ISSN	10504729
DOI	10.1109/ROBOT.2007.363659
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-10
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning systems Medical simulation Computational modeling Instruments Visualization Surgery Biomedical monitoring Pediatrics Education Blades
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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