EconPapers    
Economics at your fingertips  
 

Simulating Embryo-Transfer Through a Haptic Device

A. F. Abate (), M. Nappi () and S. Ricciardi ()
Additional contact information
A. F. Abate: University of Salerno
M. Nappi: University of Salerno
S. Ricciardi: University of Salerno

A chapter in Information Technology and Innovation Trends in Organizations, 2011, pp 229-235 from Springer

Abstract: Abstract Computer based training represents an effective way to learn and virtually practice the procedures related to a specific surgical intervention exploiting a virtual reproduction of the anatomy involved and of the tools required. Though a “visual-only” level of simulation can already be very useful, there is no doubt that, as long as the technology would allow it, a visual-haptic simulator providing kinesthetic feedback to augment the virtual experience would represent a key factor in fostering the development of manual skills in trainees. This kind of approach to virtual training is exploited in this work to simulate Embryo Transfer, a crucial step of the In Vitro Fertilization procedure which is become very popular to address several infertility conditions. We present a novel training system based on a haptic device allowing the user to handle a virtual replica of the catheter required to insert the simulated embryo through the cervix until the optimal site in the womb is reached. The system proposed exploits deformability-mapping to represent local stiffness in the contact surfaces and simulates an ultrasound live image to approach the visual appearance of the actual diagnostic imagery.

Keywords: Embryo Transfer; Force Feedback; Haptic Device; Haptic Perception; Haptic Rendering (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2632-6_26

Ordering information: This item can be ordered from
http://www.springer.com/9783790826326

DOI: 10.1007/978-3-7908-2632-6_26

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-7908-2632-6_26