3D force/torque characterization of emergency cricothyroidotomy procedure using an instrumented scalpel

Ryason, Adam; Sankaranarayanan, Ganesh; Butler, Kathryn L.; DeMoya, Marc; De, Suvranu

doi:10.1109/embc.2016.7591153

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…The amplitude, bias, and frequency of the sinusoid reference force, (f d ) z , are 1.8N , 0.65N , and 2Hz respectively. The maximum force during one time period of this sinusoid is comparable to the RMS force magnitude reported in [23] for cricothyrotomy on cadavers. Using these user estimated locations, a line trajectory was generated which passes through the mid-point of the line joining sternoclavicular joints and the laryngeal prominence.…”

Section: Control and Assistive Modes Evaluatedsupporting

confidence: 81%

Feasibility of Remote Landmark Identification for Cricothyrotomy Using Robotic Palpation

Shihora¹,

Yasin²,

Walsh³

et al. 2021

Preprint

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Cricothyrotomy is a life-saving emergency intervention that secures an alternate airway route after a neck injury or obstruction. The procedure starts with identifying the correct location (the cricothyroid membrane) for creating an incision to insert an endotracheal tube. This location is determined using a combination of visual and palpation cues. Enabling robot-assisted remote cricothyrotomy may extend this life-saving procedure to injured soldiers or patients who may not be readily accessible for on-site intervention during searchand-rescue scenarios. As a first step towards achieving this goal, this paper explores the feasibility of palpation-assisted landmark identification for cricothyrotomy. Using a cricothyrotomy training simulator, we explore several alternatives for in-situ remote localization of the cricothyroid membrane. These alternatives include a) unaided telemanipulation, b) telemanipulation with direct force feedback, c) telemanipulation with superimposed motion excitation for on-line stiffness estimation and display, and d) fully autonomous palpation scan initialized based on the user's understanding of key anatomical landmarks. Using the manually digitized cricothyroid membrane location as ground truth, we compare these four methods for accuracy and repeatability of identifying the landmark for cricothyrotomy, time of completion, and ease of use. These preliminary results suggest that the accuracy of remote cricothyrotomy landmark identification is improved when the user is aided with visual and force cues. They also show that, with proper user initialization, landmark identification using remote palpation is feasible -therefore satisfying a key prerequisite for future robotic solutions for remote cricothyrotomy.

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Section: Control and Assistive Modes Evaluatedsupporting

confidence: 81%

Feasibility of Remote Landmark Identification for Cricothyrotomy Using Robotic Palpation

Shihora¹,

Yasin²,

Walsh³

et al. 2021

Preprint

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“…The VAST-ETI is a virtual simulator for training ETI using direct laryngoscopy and is part of a larger VAST project. 24,25 As seen in Figure 1, the VAST-ETI consists of a virtual simulator, a custom 4-DOF laryngoscope haptic mechanism, 22 a 3-DOF haptic endotracheal tube (ETT) mechanism (Geomagic Touch, 3D Systems, Rock Hill, SC), and an instrumented, passive mannequin head. The simulator is developed using the Software Framework for Multimodal Interactive Simulations (SoFMIS) 26 and Interactive Medical Simulation Toolkit (iMSTK).…”

Section: Vast-etimentioning

confidence: 99%

Validation of a Virtual Simulator With Haptic Feedback for Endotracheal Intubation Training

et al. 2023

Self Cite

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Introduction: Endotracheal intubation (ETI) is a procedure that varies in difficulty because of patient characteristics and clinical conditions. Existing physical simulators do not encompass these variations. The Virtual Airway Skills Trainer for Endotracheal Intubation (VAST-ETI) was developed to provide different patient characteristics and high-fidelity haptic feedback to improve training. Methods: We demonstrate the effectiveness of VAST-ETI as a training and evaluation tool for ETI. Construct validation was evaluated by scoring the performance of experts (N = 15) and novices (N = 15) on the simulator to ensure its ability to distinguish technical proficiency. Convergent and predictive validity were evaluated by performing a learning curve study, in which a group of novices (N = 7) were trained for 2 weeks using VAST-ETI and then compared with a control group (N = 9). Results: The VAST-ETI was able to distinguish between expert and novice based on mean simulator scores (t[88] = −6.61, P < 0.0005). When used during repeated practice, individuals demonstrated a significant increase in their score on VAST-ETI over the learning period (F[11,220] = 7206, P < 0.001); however when compared with a control group, there was not a significant interaction effect on the simulator score. There was a significant difference between the simulator-trained and control groups (t[12.85] = −2.258, P = 0.042) when tested in the operating room. Conclusions: Our results demonstrate the effectiveness of virtual simulation with haptic feedback for assessing performance and training of ETI. The simulator was not able to differentiate performance between more experienced trainees and experts because of limits in simulator difficulty.

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Evaluate the Fidelity of Synthetic Tissues Used in Escharotomy Simulators

Lee

Rahul

Hannay

et al. 2021

Mechanics of Biological Systems and Materials &Amp; Micro-and Nanomechanics &Amp; Research Applications

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3D force/torque characterization of emergency cricothyroidotomy procedure using an instrumented scalpel

Cited by 4 publications

References 11 publications

Feasibility of Remote Landmark Identification for Cricothyrotomy Using Robotic Palpation

Feasibility of Remote Landmark Identification for Cricothyrotomy Using Robotic Palpation

Validation of a Virtual Simulator With Haptic Feedback for Endotracheal Intubation Training

Evaluate the Fidelity of Synthetic Tissues Used in Escharotomy Simulators

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