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IEEE Transactions on Haptics
Article . 2025 . Peer-reviewed
License: IEEE Copyright
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A Generalized Tracking Wall Approach to the Haptic Simulation of Tip Forces During Needle Insertion

Authors: Delbos, Benjamin; Chalard, Rémi; Lelevé, Arnaud; Moreau, Richard;

A Generalized Tracking Wall Approach to the Haptic Simulation of Tip Forces During Needle Insertion

Abstract

Haptic simulation of needle insertion requires both a needle-tissue interaction model and a method to render the outputs of this model into real-time force feedback for the user. In comparison with interaction models, rendering methods in the literature have seen little development and are either oversimplified or too computationally complex. Therefore, this study introduces the Generalized Tracking Wall (GTW) approach, a haptic rendering method inspired by the proxy approach. It aims to accurately simulate the interaction between a needle tip and soft tissues without the complex calculations of tissue deformations. The essence of the proposed method is that it associates an algorithm based on the energetic analysis of cutting with a contact model capable of simulating viscoelasticity and nonlinearity. This association proved to be a potent tool to faithfully replicate the different phases of needle insertion while adhering to underlying physics. Multi-layered-tissue insertions are also considered. The performance and generecity of the GTW are first evaluated through simulations. Then, the GTW is experimentally compared to empirical methods inspired by the literature.

Keywords

Medical Simulation, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], Force Rendering, Models, Biological, 004, 620, Biomechanical Phenomena, User-Computer Interface, Virtual Environment, Touch Perception, Needles, Touch, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], Humans, Biomechanics, Computer Simulation, [INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering, Algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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