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IoT-Based Information System for Healthcare Application: Design Methodology Approach

机译:基于物联网的医疗应用信息系统:设计方法论方法

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摘要

Over the last few decades, life expectancy has increased significantly. However, elderly people who live on their own often need assistance due to mobility difficulties, symptoms of dementia or other health problems. In such cases, an autonomous supporting system may be helpful. This paper proposes the Internet of Things (IoT)-based information system for indoor and outdoor use. Since the conducted survey of related works indicated a lack of methodological approaches to the design process, therefore a Design Methodology (DM), which approaches the design target from the perspective of the stakeholders, contracting authorities and potential users, is introduced. The implemented solution applies the three-axial accelerometer and magnetometer, Pedestrian Dead Reckoning (PDR), thresholding and the decision trees algorithm. Such an architecture enables the localization of a monitored person within four room-zones with accuracy; furthermore, it identifies falls and the activities of lying, standing, sitting and walking. Based on the identified activities, the system classifies current activities as normal, suspicious or dangerous, which is used to notify the healthcare staff about possible problems. The real-life scenarios validated the high robustness of the proposed solution. Moreover, the test results satisfied both stakeholders and future users and ensured further cooperation with the project.
机译:在过去的几十年中,预期寿命已大大增加。然而,由于行动不便,痴呆症状或其他健康问题,独自生活的老年人经常需要帮助。在这种情况下,自治支持系统可能会有所帮助。本文提出了一种基于物联网(IoT)的室内和室外信息系统。由于对相关作品的调查表明设计过程缺乏方法论方法,因此引入了设计方法论(DM),该方法论从利益相关者,订约当局和潜在用户的角度来达到设计目标。实施的解决方案采用三轴加速度计和磁力计,行人航位推算(PDR),阈值和决策树算法。这种架构使被监视人员可以在四个房间区域内准确定位。此外,它还可以识别跌倒以及躺,站,坐和走的活动。根据识别出的活动,系统将当前活动分类为正常,可疑或危险,用于通知医护人员可能出现的问题。实际场景验证了所提出解决方案的高度鲁棒性。此外,测试结果使利益相关者和未来的用户都满意,并确保了与项目的进一步合作。

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