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首页> 外文期刊>Mathematical research letters: MRL >A Novel Evaluation Model for a Mixed-Reality Surgical Navigation System: Where Microsoft HoloLens Meets the Operating Room
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A Novel Evaluation Model for a Mixed-Reality Surgical Navigation System: Where Microsoft HoloLens Meets the Operating Room

机译：混合现实手术导航系统的新型评估模型：微软霍尔胶遇到手术室

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HoloLens-based mixed-reality surgical navigation system (MR-SNS) technology has made great progress. However, the methodology for evaluating users' perceptions concerning the safety, comfort, and efficiency of MR-SNS is still in its infancy. This study was intended to develop a method to systematically evaluate an existing MR-SNS system during actual clinical applications. This method differs from other existing methods currently used in industry, education, and device maintenance. Based on analytical hierarchy process theory and ergonomics evaluation methods, in this article, we propose a novel multicriteria evaluation model for a HoloLens-based MR-SNS. The model includes factors such as comfort, safety, and effectiveness, and is performed in an actual clinical application. A comprehensive experimental platform and scoring system that can analyze all indicators was built. The validation test showed no statistically significant differences in the accuracy of the 3 different movement patterns (P = .95, P > .05). However, the static pattern showed the best accuracy. In addition, no significant difference (P = .68, P > .05) in accuracy was found under 4 kinds of illuminance. A comparison of the results of this evaluation model and the input from experts who use the HoloLens-based MR-SNS in hospitals, indicated that this model has good precision (100%), recall (80%), and F1-measure (88.89%). The results highlighted the full efficacy of the proposed model in determining whether this system can be used in clinical trials to provide indicators for preliminary ex ante feasibility studies. This article describes the lessons learned from conducting this evaluation study of MR-SNS as part of the design process.
机译：基于漏洞的混合现实手术导航系统（SNS先生）技术取得了很大进展。然而，评估用户关于安全，舒适性和MR-SNS的舒适度和效率的看法的方法仍处于初期。本研究旨在开发一种在实际临床应用中系统地评估现有MR-SNS系统的方法。该方法与当前用于行业，教育和设备维护的其他现有方法不同。基于分析层次处理理论和人体工程学评估方法，在本文中，我们提出了一种新型多轨道评估模型，用于挖清胶的MR-SNS。该模型包括诸如舒适性，安全性和有效性等因素，并且在实际的临床应用中进行。建立了全面的实验平台和评分系统，可以建立分析所有指标。验证测试显示3种不同运动模式的准确性没有统计学上显着的差异（p = .95，p> .05）。但是，静态模式显示了最佳精度。此外，在4种照度下没有发现精度的显着差异（p = .68，p> .05）。该评估模型的结果和使用医院使用全新的MR-SNS的专家的结果的比较表明，该模型具有良好的精度（100％），召回（80％）和F1测量（88.89 ％）。结果强调了所提出的模型在确定该系统是否可用于临床试验中的全部功效，以提供初步的前蚂蚁可行性研究指标。本文介绍了在设计过程的一部分进行此评估研究中介绍了该评估研究的经验教训。

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