Abstract
We introduce a new haptic rendering method for neonatal endotracheal intubation simulation. The challenging procedure involves multiple models of different material properties, and is performed in the narrow oral cavity involving multiple contacts with tongue, lips, and laryngoscope. Our method first sets up simple collision detection mechanism with adaptive inner sphere tree structure for deformable tongue tissue. Then a collision response is handled with a novel force aware projective position correction. Our method is proved to be effective for heterogeneous simulation environment, therefore can be applied to surgical simulation with similar difficult settings.
Publisher
Science Publishing Corporation
Subject
Hardware and Architecture,General Engineering,General Chemical Engineering,Environmental Engineering,Computer Science (miscellaneous),Biotechnology
Cited by
3 articles.
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1. Sensory Perception of Haptic Rendering in Surgical Simulation;Supervised and Unsupervised Data Engineering for Multimedia Data;2024-04
2. An Automatic Grading System for Neonatal Endotracheal Intubation with Multi-Task Convolutional Neural Network;2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI);2023-10-15
3. Sensory Perception of Haptic Rendering in Surgical Simulation;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06