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偏好 elicitation:获取神经外科 PACS 的手势指南。

Preference elicitation: Obtaining gestural guidelines for PACS in neurosurgery.

机构信息

School of Industrial Engineering, Purdue University, West Lafayette, United States.

Goodman Campbell Brain and Spine, Indianapolis, United States.

出版信息

Int J Med Inform. 2019 Oct;130:103934. doi: 10.1016/j.ijmedinf.2019.07.013. Epub 2019 Jul 23.

Abstract

OBJECTIVE

Accessing medical records is an integral part of neurosurgical procedures in the Operating Room (OR). Gestural interfaces can help reduce the risks for infections by allowing the surgical staff to browse Picture Archiving and Communication Systems (PACS) without touch. The main objectives of this work are to: a) Elicit gestures from neurosurgeons to analyze their preferences, b) Develop heuristics for gestural interfaces, and c) Produce a lexicon that maximizes surgeons' preferences.

MATERIALS AND METHODS

A gesture elicitation study was conducted with nine neurosurgeons. Initially, subjects were asked to outline the gestures on a drawing board for each of the PACS commands. Next, the subjects performed one of three imaging tasks using gestures instead of the keyboard and mouse. Each gesture was annotated with respect to the presence/absence of gesture descriptors. Next, K-nearest neighbor approach was used to obtain the final lexicon that complies with the preferred/popular descriptors.

RESULTS

The elicitation study resulted in nine gesture lexicons, each comprised of 28 gestures. A paired t-test between the popularity of the overall gesture and the top three descriptors showed that the latter is significantly higher than the former (89.5%-59.7% vs 19.4%, p < 0.001), meaning more than half of the subjects agreed on these descriptors. Next, the gesture heuristics were generated for each command using the popular descriptors. Lastly, we developed a lexicon that complies with surgeons' preferences.

CONCLUSIONS

Neurosurgeons do agree on fundamental characteristics of gestures to perform image manipulation tasks. The proposed heuristics could potentially guide the development of future gesture-based interaction of PACS for the OR.

摘要

目的

在手术室(OR)中,访问病历是神经外科手术的一个组成部分。手势界面可以通过允许手术人员无需触摸即可浏览影像归档与通信系统(PACS),从而帮助降低感染风险。这项工作的主要目标是:a)从神经外科医生那里获取手势,以分析他们的偏好;b)为手势界面开发启发式方法;c)生成最大限度满足外科医生偏好的词汇表。

材料与方法

对 9 名神经外科医生进行了手势启发式研究。最初,要求受试者在画板上为每个 PACS 命令勾勒出手势。然后,受试者使用手势而不是键盘和鼠标执行三种成像任务之一。每个手势都根据是否存在手势描述符进行了注释。然后,使用 K-最近邻方法获得符合首选/流行描述符的最终词汇表。

结果

启发式研究得出了九个手势词汇表,每个词汇表都包含 28 个手势。对整体手势的流行度与前三个描述符的流行度之间的配对 t 检验表明,后者明显高于前者(89.5%-59.7%对 19.4%,p<0.001),这意味着超过一半的受试者都同意这些描述符。接下来,使用流行描述符为每个命令生成手势启发式方法。最后,我们开发了一个符合外科医生偏好的词汇表。

结论

神经外科医生确实对执行图像操作任务的手势的基本特征达成了共识。拟议的启发式方法可能会为未来 OR 中基于手势的 PACS 交互开发提供指导。

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