Article

Performance Evaluation to Improve Training in Forceps-Assisted Delivery

Authors:

Mónica García-Sevilla,

Juan De León-Luis,

Rafael Moreta-Martínez,

David García-Mato,

Rubén Pérez-Mañanes,

José Calvo-Haro,

Javier PascauAuthors Info & Claims

OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis: First International Workshop, OR 2.0 2018, 5th International Workshop, CARE 2018, 7th International Workshop, CLIP 2018, Third International Workshop, ISIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings

Pages 69 - 77

https://doi.org/10.1007/978-3-030-01201-4_9

Published: 02 October 2018 Publication History

Abstract

The World Health Organization recommends a rate of cesareans inferior than 15%. However, the actual rates in the US double this value, while the use of obstetrical instruments, a recommended alternative to cesareans but which requires high skill and experience, has significantly decreased in the latest years. In this context there is a clear demand for simulators, with special interest in learning the correct use of Kielland’s forceps. In this work we present a virtual instrumented simulator to improve training in the correct use of forceps proposing a three-step protocol which guides users along the process while evaluating their performance. We validate this protocol, following principles based on previously published guidelines, on two types of manikins. Our results show that the proposed solution successfully detects the incorrect positioning of the forceps in most steps, guiding the user during the training process and providing feedback on wrong maneuvers.

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Published In

Sep 2018

310 pages

ISBN:978-3-030-01200-7

DOI:10.1007/978-3-030-01201-4

Editors:
Danail Stoyanov
University College London, London, UK
,
Zeike Taylor
University of Leeds, Leeds, UK
,
Duygu Sarikaya
University of Rennes, Rennes, France
,
Jonathan McLeod
University of Western Ontario, London, ON, Canada
,
Miguel Angel González Ballester
Universitat Pompeu Fabra, Barcelona, Spain
,
Noel C.F. Codella
IBM Research, Yorktown Heights, NY, USA
,
Anne Martel
Sunnybrook Health Science Centre, Toronto, ON, Canada
,
Lena Maier-Hein
German Cancer Research Center, Heidelberg, Baden-Württemberg, Germany
,
Anand Malpani
Johns Hopkins University, Baltimore, USA
,
Marco A. Zenati
Harvard Medical School, Boston, USA
,
Sandrine De Ribaupierre
University of Western Ontario, London, Canada
,
Luo Xiongbiao
Xiamen University, Xiamen, China
,
Toby Collins
IRCAD, Strasbourg, France
,
Tobias Reichl
KUKA Laboratories GmbH, Augsburg, Germany
,
Klaus Drechsler
Aachen University of Applied Sciences, Julich, Nordrhein-Westfalen, Germany
,
Marius Erdt
Fraunhofer IDM@NTU, Singapore, Singapore
,
Marius George Linguraru
Children's National Health System, Washington, D.C., DC, USA
,
Cristina Oyarzun Laura
Fraunhofer IGD, Darmstadt, Hessen, Germany
,
Raj Shekhar
Children's National Health System, Washington, D.C., DC, USA
,
Stefan Wesarg
Fraunhofer IGD, Darmstadt, Hessen, Germany
,
M. Emre Celebi
University of Central Arkansas, Conway, USA
,
Kristin Dana
Rutgers University, Piscataway, USA
,
Allan Halpern
Memorial Sloan Kettering Cancer Center, New York, USA

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 02 October 2018

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Abstract

References

Recommendations

Depth cues in augmented reality for training of robot-assisted minimally invasive surgery

A virtual reality training system for robot assisted neurosurgery

Virtual Laparoscopic Training System Based on VCH Model

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