Implementation of a sensorized neonatal head model for gynechological training

  • Serena Ricci  , 
  • b Simone Marcutti   , 
  • c Andrea Pani  , 
  • d Marco Chirico  , 
  • e Giancarlo Torre  , 
  • f Massimo Cordone  , 
  • g Maura Casadio  , 
  • h Gianni Vercelli  
  • a,b,c,g,hDepartment of Informatics, Bioengineering, Robotics and System Engineering, University of Genova, Italy
  • d,e,fCentro di servizio di Ateneo di simulazione e formazione avanzata, University of Genoa, Italy
Cite as
Ricci S., Marcutti S., Pani A., Chirico M., Torre G., Cordone M., Casadio M., Vercelli G. (2019). Implementation of a sensorized neonatal head model for gynechological training. Proceedings of the 8th International Workshop on Innovative Simulation for Healthcare (IWISH 2019), pp. 65-69. DOI: https://doi.org/10.46354/i3m.2019.iwish.012

Abstract

During labor it is very important to know the exact position and orientation of the fetal head when descending the birth canal. Indeed, incorrect evaluations may lead to dangerous situations for both the infant and the mother. Usually, gynecologists and midwives rely on their experience to determine the head position and to evaluate the risk level of each delivery. In this context, it is essential to train new physicians and midwives to correctly manage different types of delivery. Here, we present the design and implementation of a realistic sensorized neonatal head that could be used on low-cost birth simulators for training and evaluation of residents and midwifery students.

References

  1. Bradley, Paul. 2006. “The History of Simulation in Medical Education and Possible Future
    Directions.” Medical Education 40 (3): 254–62.
  2. Christou, Chris. 2010. “Virtual Reality in Education.” In Affective, Interactive and Cognitive Methods for e-Learning Design: Creating an Optimal Education Experience, 228–43. IGI Global.
  3. Cunningham, F Gary, J Kenneth Leveno, L Steven Bloom, C John Hauth, J Dwight Rouse, and Y
    Catherine Spong. 2010. “Williams Obstetrics 23rd Edition McGraw Hill.” New York, 2010
  4. Dupuis, Olivier, Richard Moreau, Ruimark Silveira, Minh Tu Pham, Adrien Zentner, Michel Cucherat, Rene-Charles Rudigoz, and Tanneguy Redarce. 2006. “A New Obstetric Forceps for the Training of Junior Doctors: A Comparison of the Spatial Dispersion of Forceps Blade Trajectories between Junior and Senior Obstetricians.” American Journal of Obstetrics and Gynecology 194 (6): 1524–31.8
  5. Macedonia, Christian R, Robert B Gherman, and Andrew J Satin. 2003. “Simulation Laboratories
    for Training in Obstetrics and Gynecology. Obstetrics & Gynecology 102 (2): 388–92..
  6. Paci, Andrea, Simone Marcutti, Serena Ricci, Maura Casadio, Gianni Viardo Vercelli, Pierangelo
    Marchiolè, and Massimo Cordone. 2016. “EBSim: Development of a Low-Cost Obstetric
    Simulator.” In International Conference on Augmented Reality, Virtual Reality and Computer
    Graphics, 101–10. Springer
  7. Pugh, Carla M, and Patricia Youngblood. 2002. “Development and Validation of Assessment
    Measures for a Newly Developed Physical Examination Simulator.” Journal of the American
    Medical Informatics Association 9 (5): 448–60.
  8. Ricci, Serena, Simone Marcutti, Andrea Pani, Massimo Cordone, Giancarlo Torre, Gianni Viardo
    Vercelli, and Maura Casadio. 2019. “Design an mplementation of a Low-Cost Birth Simulator.”
    In 41st Engineering in Medicine and Biology Conference
  9. Ricci, Serena, Andrea Paci, Simone Marcutti, Pierangelo Marchiolè, Giancarlo Torre, Maura
    Casadio, Gianni Viardo Vercelli, and Massimo Cordone. 2015. “The Development of a Low-Cost
    Obstetric Simulator to Train Midwifery Students and Test Objective Examinations’ Skills.” In 4th
    International Workshop on Innovative Simulation For Healthcare.
  10. Rubin, Leon, and Ashely Coopland. 1970. “Kielland’s Forceps.” Canadian Medical Association Journal 103 (5): 505.
  11. Stabilini, Cesare, Umberto Bracale, Giusto Pignata,Marco Frascio, Marco Casaccia, Paolo Pelosi,
    Alessio Signori, et al. 2013. “Laparoscopic Bridging vs. Anatomic Open Reconstruction for Midline Abdominal Hernia Mesh Repair [LABOR]: Single-Blinded, Multicenter, Randomized, Controlled Trial on Long-Term Functional Results.” Trials 14 (October): 357. https://doi.org/10.1186/1745-6215-14-357.
  12. Witmer, Bob G, and Michael J Singer. 1998. “Measuring Presence in Virtual Environments: A
    Presence Questionnaire.” Presence 7 (3): 225–40.