Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/7035
Title: | Viscoelastic Modeling of Human Nasal Tissues With a Mobile Measurement Device |
Authors: | Işıtman, Oğulcan Ayit, Orhan Vardarlı, Eren Hanalioğlu, Şahin Işıkay, İlkay Berker, Mustafa Dede, Mehmet İsmet Can |
Keywords: | Soft tissue modeling Ex-vivo tests Nasal tissue Elastic model Maxwell model |
Publisher: | Springer |
Source: | Işıtman, O., Ayit, O., Vardarlı, E., Hanalioğlu, Ş., Işıkay, İ., Berker, M., and Dede, M.İ.C. (2019). Viscoelastic modeling of human nasal tissues with a mobile measurement device. In G. Carbone, M. Ceccarelli, and D. Pisla (Eds.), New Trends in Medical and Service Robotics: Advances in Theory and Practice, (pp. 216-224). Cham: Springer. doi:10.1007/978-3-030-00329-6_25 |
Abstract: | Modeling the dynamic of tool-tissue interaction for the robotic minimally invasive surgeries is one of the main issues for designing appropriate robot controllers. A mobile measurement device is produced in order to model some nasal tissues of a human. This mobile device is a hand-held one which measures the applied moments and relative angular displacements about a fixed pivot point. The ex-vivo measurements are realized by surgeons on a relatively fresh human cadaver head. The tip of the nose and the nasal concha are the two tissues that are investigated. In this study, five different viscoelastic models are considered; Elastic, Kelvin- Voight, Kelvin-Boltzmann, Maxwell and Hunt-Crossley. The results are evaluated and cross-validated on each data set. Hunt-Crossley and Kelvin-Boltzmann models provided the minimum root-mean-square (RMS) error among the other models. |
URI: | https://doi.org/10.1007/978-3-030-00329-6_25 http://hdl.handle.net/11147/7035 |
ISBN: | 978-3-030-00328-9 |
Appears in Collections: | Mechanical Engineering / Makina Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.