智能护理

Cloud based intelligent system for delivering health care as a service

Abstract

The promising potential of cloud computing and its convergence with technologies such as mobile computing, wireless networks, sensor technologies allows for creation and delivery of newer type of cloud services. In this paper, we advocate the use of cloud computing for the creation and management of cloud based health care services. As a representative case study, we design a Cloud Based Intelligent Health Care Service (CBIHCS) that performs real time monitoring of user health data for diagnosis of chronic illness such as diabetes. Advance body sensor components are utilized to gather user specific health data and store in cloud based storage repositories for subsequent analysis and classification. In addition, infrastructure level mechanisms are proposed to provide dynamic resource elasticity for CBIHCS. Experimental results demonstrate that classification accuracy of 92.59% is achieved with our prototype system and the predicted patterns of CPU usage offer better opportunities for adaptive resource elasticity.

KEYWORDS:Application behavior; Cloud computing; Diabetes detection; Quality of service; Resource elasticity

用于提供医疗保健服务的智能云系统

拥有巨大潜力的云计算及其与移动计算，无线网络，传感器技术等技术的融合，将会帮助创建和提供更新型的云服务。在本文中，我们主张使用云计算来创建和管理基于云的

医疗服务。作为一个代表性的案例研究，我们设计了一个基于云的智能医疗服务（CBIHCS），执行用户健康数据的实时监测，以诊断慢性疾病，如糖尿病。先进的身体传感器组件被用于收集用户特定的健康数据并存储在基于云的存储库中用于后续分析和分类。此外，提出基础设施级机制为CBIHCS提供动态资源弹性。实验结果表明，我们的原型系统实现了92.59％的分类精度，并且CPU使用的预测模式为自适应资源弹性提供了更好的机会。

关键词：应用行为；云计算；糖尿病检测；服务质量；资源弹性

Developing multimodal intelligent affective interfaces for tele-home health care

Abstract

Accounting for a patient's emotional state is integral in medical care. Tele-health research attests to the challenge clinicians must overcome in assessing patient emotional state when modalities are limited (J. Adv. Nurs. 36(5) 668). The extra effort involved in addressing this challenge requires attention, skill, and time. Large caseloads may not afford tele-home health-care (tele-HHC) clinicians the time and focus necessary to accurately assess emotional states and trends. Unstructured interviews with experienced tele-HHC providers support the introduction of objective indicators of patients’ emotional status in a useful form to enhance patient care. We discuss our contribution to addressing this challenge, which involves building user models not only of the physical characteristics of users—in our case patients—but also models of their emotions. We explain our research in progress on Affective Computing for tele-HHC applications, which

includes: developing a system architecture for monitoring and responding to human multimodal affect and emotions via multimedia and empathetic avatars; mapping of physiological signals to emotions and synthesizing the patient's affective information for the health-care provider. Our results using a wireless non-invasive wearable computer to collect physiological signals and mapping these to emotional states show the feasibility of our approach, for which we lastly discuss the future research issues that we have identified.

KEY WORDS: user modeling, intelligent user interfaces, emotions, affective computing, tele-home health care, telehealth, human factors of multimedia systems.

为远程家庭保健开发多模式智能情感界面

对患者的情绪状态的考虑是医疗护理的一部分。远程医疗研究证明，模式有限是目前临床医生在评估患者情绪状态时必须克服的一个挑战。要解决这一挑战所需的额外努力需要注意力，技能和时间。大量的病例可能不能为远程家庭医疗保健临床医生提供准确评估情绪状态和趋势所需的时间和焦点。对有经验的远程家庭保健提供者的非结构化访谈表明其支持以有用的形式引入患者的情绪状态的客观指标，以提升对患者的护理。我们讨论了我们对应对这一挑战的贡献，其中涉及的构建内容不仅包括用户的身体特征（在我们的情况下是患者）的用户模型，而且还包括他们情绪的模型。我们解释了我们在电视家庭保健应用的情感计算方面的研究进展，包括：开发一个系统架构，用于通过多媒体和同情化身监测和响应人类多模式的影响和情绪;以及将生理信号映射到情绪，并且为医疗保健提供者合成患者的情感信息。我们使用无线无创穿戴式计算机收集生理信号和映射这些情绪状态的结果证实了我们方法的可行性，并且在最后我们讨论了已经确定的未来研究问题。

关键词：用户建模；智能用户界面；情感；情感计算；远程家庭保健；远程医疗；多媒体系统的人为因素

Sensor-driven agenda for intelligent home care of the elderly

Abstract

The exponential increase of home-bound persons who live alone and are in need of continuous monitoring requires new solutions to current problems. Most of these cases present illnesses such as motor or psychological disabilities that deprive of a normal living. Common events such as forgetfulness or falls are quite common and have to be prevented or dealt with. This paper introduces a platform to guide and assist these persons (mostly elderly people) by providing

multisensory monitoring and intelligent assistance. The platform operates at three levels. The lower level, denominated “Data acquisition and processing” performs the usual tasks of a monitoring system, collecting and processing data from the sensors for the purpose of detecting and tracking humans. The aim is to identify their activities in an intermediate level called “activity detection”. The upper level, “Scheduling and decision-making”, consists of a scheduler which provides warnings, schedules events in an intelligent manner and serves as an interface to the rest of the platform. The idea is to use mobile and static sensors performing constant monitoring of the user and his/her environment, providing a safe environment and an immediate response to severe problems. A case study on elderly fall detection in a nursery home bedroom demonstrates the usefulness of the proposal.

Keywords：Home care; Elderly; Monitoring; Personal agenda;

Intelligent agents

关于传感器驱动的老年人智能家庭护理的议题

独居且需要持续监测的人数正在呈指数增长，他们急需针对当前问题的新解决方案。这些病例出现的大多数疾病，如运动或心理残疾，正在剥夺患者正常生活的权力。常见的一些事件，比如健忘或跌倒相当普遍，必须防止或处理。本文介绍了一个平台，通过提供多感官监测和智能援助来指导和帮助这些人（主要是老年人）。该平台在三个级别运行。称为“数据采集和处理”的较低级别执行监测系统的通常任务，从传感器收集和处理数据以便检测和跟踪人。目的是在称为“活动检测”的中间级别中识别它们的活动。上层“调度和决策”包括一个调度程序，它能够提供警告，以智能方式调度事件，并作为平台其余部分的接口。该想法是使用移动和静态传感器执行对用户和他/她周边环境的持续监视，提供安全的环境和对严重问题的即时响应。在一个幼儿园的卧室检查老年人跌倒的个案研究证明了该建议的有用性。

关键词：家庭护理；老年；监测；个人议程；智能代理