A hybrid, low-cost tissue-like epidural needle insertion simulator

Esterer, Benjamin; Gabauer, Stefan; Pichler, Robert; Wirthl, Daniela; Drack, Michael; Hollensteiner, Marianne; Kettlgruber, Gerald; Kaltenbrunner, Martin; Bauer, Siegfried; Fürst, David; Merwa, Robert; Meier, Joseph; Augat, Peter; Schrempf, Andreas

doi:10.1109/embc.2017.8036758

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…In the simplest case, only a basic circuit is closed by a contact between a sensor mat and an insertion tool to detect when the tool reaches a certain position in the artificial tissue. By dividing the sensor mat into several areas, a first approach for localization, similar to Esterer et al [31] can be realized. Therefore, only one electrode per sensor mat is sufficient.…”

Section: Smart Artificial Soft Tissuementioning

confidence: 99%

“…Application examples of the simulator including videos can be found in the supplementary material. Regarding the reusability of penetrated parts such as the cricoid, it is known from Esterer et al [31] that a significant drop in insertion forces occurs after 10-15 penetrations at identical insertion points. This behavior was also observed with the artificial cricoid.…”

Section: A Usability and Hapticsmentioning

confidence: 99%

“…In contrast to other, contact-based position sensing in hybrid simulators [31], the developed Smart Artificial Soft Tissue offers the advantages of continuous, two-dimensional position detection. The accuracy of the proposed position reconstruction method depends strongly on the conductivity ratio between electrode pins and sensor mat.…”

Section: Positioning Accuracy and Further Applicationmentioning

confidence: 99%

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Smart Artificial Soft Tissue - Application to a Hybrid Simulator for Training of Laryngeal Pacemaker Implantation

Thurner

Esterer

Fürst³

et al. 2023

IEEE Trans. Biomed. Eng.

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Surgical simulators are safe and evolving educational tools for developing surgical skills. In particular, virtual and hybrid simulators are preferred due to their detailedness, customization and evaluation capabilities. To accelerate the revolution of a novel class of hybrid simulators, a Smart Artificial Soft Tissue is presented here, that determines the relative position of conductive surgical instruments in artificial soft tissue by inverse resistance mappings without the need for a fixed reference point. This is particularly beneficial for highly deformable structures when specific target regions need to be reached or avoided. The carbon-black-silicone composite used can be shaped almost arbitrarily and its elasticity can be tuned by modifying the silicone base material. Thus, objective positional feedback for haptically correct artificial soft tissue can be ensured. This is demonstrated by the development of a Manuscript received 24 February 2022; revised 27 July 2022; accepted 21 August 2022. Date of publication xxx; date of current version xxx. The financial support of the Austrian Research Promotion Agency (FFG) under project grant number 845436 and the company MED-EL Elektromedizinische Ger äte Gesellschaft m.b.H., Innsbruck, Austria, is greatly acknowledged.

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Section: Smart Artificial Soft Tissuementioning

confidence: 99%

Section: A Usability and Hapticsmentioning

confidence: 99%

Section: Positioning Accuracy and Further Applicationmentioning

confidence: 99%

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Smart Artificial Soft Tissue - Application to a Hybrid Simulator for Training of Laryngeal Pacemaker Implantation

Thurner

Esterer

Fürst³

et al. 2023

IEEE Trans. Biomed. Eng.

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“…In human medicine, simulators are used to improve training in anesthesia [7][8][9] . Most try to simulate the sensation of penetration of ligamentum flavum and loss of resistance of the syringe plunger during injection of the anesthetic.…”

Section: ■ Introductionmentioning

confidence: 99%

3D anatomical model for teaching canine lumbosacral epidural anesthesia

et al. 2020

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To develop a 3D anatomical model for teaching canine epidural anesthesia (3DMEA) and to assess its efficacy for teaching and learning prior to the use of live animals. Methods: The creation of 3DMEA was based on 3D optical scanning and 3D printing of canine bone pieces of the fifth to the seventh lumbar vertebrae, sacrum and pelvis. A total of 20 male dogs were scheduled for castration. 20 veterinary students watched a video showing epidural anesthesia in dogs before the clinical attempt and were assigned to control or 3DMEA groups. Students in the 3DMEA group trained in the model after the video. For the clinical trial, the epidural procedure was performed by students under the veterinary supervision. When observed the absence of response to nociceptive stimuli, the epidural was considered successful. Then, all students answered a questionnaire evaluating the main difficulty founded in the technique and its degree of difficulty. Results: The 3DMEA group reported a lower degree of difficulty to perform the epidural anesthesia technique when compared with the control group (p=0.0037). The 3DMEA reproduced the anatomical structures, allowing the perception of the distance of needle in relation to the iliac prominences during epidural anesthesia. Its mobility allowed simulation of the animal in standing position and sternal recumbency. Conclusion: The use of 3DMEA demonstrated greater efficacy in the execution of the technique, being effective in the teaching and learning process before the epidural anesthesia in live animals.

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