Design of a Novel Insertion Training System for Central Venous Catheterization.

IF 0.8 4区 医学 Q4 ENGINEERING, BIOMEDICAL
William Worrall, Jason Z Moore
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引用次数: 0

Abstract

Central venous catheterization (CVC) is a common medical procedure with a complication rate of over 15%. Current CVC manikin-based simulators lack anatomical variation and objective feedback of user interaction skills, which greatly hinders effective skill acquisition. To address these limitations, a novel CVC insertion training system was developed and integrated with the Advanced Dynamic Haptic Robotic Trainer (DHRT+). This insertion training system contains a sensorized syringe, custom tissue phantom, and a tool detection subsystem, allowing residents to practice nearly the entire CVC procedure with realistic haptics and automated feedback on subcutaneous tool positioning. Five experiments were conducted to assess the haptic fidelity of the sensorized syringe and custom tissue and to evaluate the accuracy of subcutaneous tool detection. Results showed that the sensorized syringe, which detects aspiration and simulates arterial and venous flash, accurately reproduced clinical aspiration forces. The custom tissue phantom provided realistic force feedback during ultrasound (US) compression and needle insertion, comparable to that of commercial tissue phantoms at a substantially lower cost. The color sensors used to distinguish between inserted guidewires and catheters accurately verified tool depth and enabled tool insertion across multiple positions on the tissue surface. Overall, novel CVC insertion training system components were presented that enabled CVC simulation and provided accurate measurement on aspiration, guidewire depth, and catheter depth.

新型中心静脉置管插入训练系统的设计。
中心静脉置管(CVC)是一种常见的医疗程序,并发症发生率超过15%。目前基于CVC人体模型的仿真器缺乏解剖学变异和用户交互技能的客观反馈,极大地阻碍了有效的技能获取。为了解决这些限制,开发了一种新的CVC插入训练系统,并与先进动态触觉机器人训练器(DHRT+)集成。这个插入训练系统包含一个传感注射器、定制组织模型和工具检测子系统,允许住院医生练习几乎整个CVC过程,具有逼真的触觉和自动反馈的皮下工具定位。通过五个实验来评估传感器化注射器和定制组织的触觉保真度,并评估皮下工具检测的准确性。结果表明,该传感式注射器能准确地再现临床吸进力,并模拟动、静脉闪动。定制的组织模型在超声(US)压缩和针插入过程中提供了真实的力反馈,与商业组织模型相比,成本低得多。颜色传感器用于区分插入的导丝和导管,准确地验证了工具深度,并使工具能够在组织表面的多个位置插入。总的来说,提出了新的CVC插入训练系统组件,实现了CVC模拟,并提供了准确的吸入、导丝深度和导管深度测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.80
自引率
11.10%
发文量
56
审稿时长
6-12 weeks
期刊介绍: The Journal of Medical Devices presents papers on medical devices that improve diagnostic, interventional and therapeutic treatments focusing on applied research and the development of new medical devices or instrumentation. It provides special coverage of novel devices that allow new surgical strategies, new methods of drug delivery, or possible reductions in the complexity, cost, or adverse results of health care. The Design Innovation category features papers focusing on novel devices, including papers with limited clinical or engineering results. The Medical Device News section provides coverage of advances, trends, and events.
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