OpenTera：一种微服务架构解决方案，用于机器人解决方案的快速原型化，以应对护理设施中的COVID-19挑战
OpenTera: A Microservice Architecture Solution for Rapid Prototyping of Robotic Solutions to COVID-19 Challenges in Care Facilities
摘要：
随着电信技术的进步，远程保健框架在护理设施和家庭中的老年人长期护理中得到越来越广泛的采用。如今，机器人可以协助医护人员为老年患者提供护理，老年患者在COVID-19大流行期间构成了特别脆弱的人群。以前的工作，以用户为中心的辅助技术设计在长期护理设施的老年人已经确定了积极的影响。应对COVID-19疫情影响的需要强调了这种方法的好处，但也突出了一些新的挑战，机器人可能是在LTC设施中部署的有趣解决方案。这需要定制电信和音频/视频/数据处理，以满足特定的临床要求和需求。本文介绍了OpenTera，一个开源的远程医疗框架，旨在方便软件和机器人设计师的原型设计这样的解决方案。OpenTera被设计为一个面向微服务的平台，是一个端到端的解决方案，它采用了一系列独立的模块来完成数据和会话管理、远程医疗、日常辅助任务/操作以及智能设备和环境等任务，所有这些都通过框架连接起来。在解释了框架之后，我们说明了如何使用OpenTera来实现LTC设施和家庭中确定的不同应用的机器人解决方案，并描述了我们计划如何通过现场试验来验证它们。
英文摘要：
As telecommunications technology progresses, telehealth frameworks are becoming more widely adopted in the context of long-term care (LTC) for older adults, both in care facilities and in homes. Today, robots could assist healthcare workers when they provide care to elderly patients, who constitute a particularly vulnerable population during the COVID-19 pandemic. Previous work on user-centered design of assistive technologies in LTC facilities for seniors has identified positive impacts. The need to deal with the effects of the COVID-19 pandemic emphasizes the benefits of this approach, but also highlights some new challenges for which robots could be interesting solutions to be deployed in LTC facilities. This requires customization of telecommunication and audio/video/data processing to address specific clinical requirements and needs. This paper presents OpenTera, an open source telehealth framework, aiming to facilitate prototyping of such solutions by software and robotic designers. Designed as a microservice-oriented platform, OpenTera is an end-to-end solution that employs a series of independent modules for tasks such as data and session management, telehealth, daily assistive tasks/actions, together with smart devices and environments, all connected through the framework. After explaining the framework, we illustrate how OpenTera can be used to implement robotic solutions for different applications identified in LTC facilities and homes, and we describe how we plan to validate them through field trials.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
