He, L., Herzig, N. orcid.org/0000-0002-5845-2697, de Lusignan, S. et al. (1 more author) (2018) Granular jamming based controllable organ design for abdominal palpation. In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 18-21 Jul 2018, Honolulu, HI, USA. IEEE ISBN 9781538636473
Abstract
Medical manikins play an essential role in the training process of physicians. Currently, most available simulators for abdominal palpation training do not contain controllable organs for dynamic simulations. In this paper, we present a soft robotics controllable liver that can simulate various liver diseases and symptoms for effective and realistic palpation training. The tumors in the liver model are designed based on granular jamming with positive pressure, which converts the fluid-like impalpable particles to a solid-like tumor state by applying low positive pressure on the membrane. Through inflation, the tumor size, liver stiffness, and liver size can be controlled from normal liver state to various abnormalities including enlarged liver, cirrhotic liver, and multiple cancerous and malignant tumors. Mechanical tests have been conducted in the study to evaluate the liver design and the role of positive pressure granular jamming in tumor simulations.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Abdomen; Manikins; Palpation; Robotics |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/N03211X/2 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Jan 2020 12:46 |
Last Modified: | 16 Jan 2020 05:57 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/embc.2018.8512709 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:155664 |