期刊
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY
卷 91, 期 2S, 页码 S40-S45出版社
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/TA.0000000000003263
关键词
Augmented reality; surgical skills training; first aid; CCC; TC3
资金
- The views, opinions and/or findings contained in this report are those of the authors and should not be construed as an official Department of the Army position, policy or decision unless so designated by other documentation.
The project aimed to develop an augmented reality application for medical caregivers in tactical combat to provide real-time display of injured soldiers' human anatomy through the IVAS system.
The objective of this project was to identify and develop software for an augmented reality application that runs on the US Army Integrated Visual Augmentation System (IVAS) to support a medical caregiver during tactical combat casualty care scenarios. In this augmented reality tactical combat casualty care application, human anatomy of individual soldiers obtained predeployment is superimposed on the view of an injured war fighter through the IVAS. This offers insight into the anatomy of the injured war fighter to advance treatment in austere environments.In this article, we describe various software components required for an augmented reality tactical combat casualty care tool. These include a body pose tracking system to track the patient's body pose, a virtual rendering of a human anatomy avatar, speech input to control the application and rendering techniques to visualize the virtual anatomy, and treatment information on the augmented reality display. We then implemented speech commands and visualization for four common medical scenarios including injury of a limb, a blast to the pelvis, cricothyrotomy, and a pneumothorax on the Microsoft HoloLens 1 (Microsoft, Redmond, WA).The software is designed for a forward surgical care tool on the US Army IVAS, with the intention to provide the medical caregiver with a unique ability to quickly assess affected internal anatomy. The current software components still had some limitations with respect to speech recognition reliability during noise and body pose tracking. These will likely be improved with the improved hardware of the IVAS, which is based on a modified HoloLens 2.
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