微创侵入和普适传感技术增强循证护理支持

Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06) Pub Date : 2006-03-13 DOI:10.1109/PERCOMW.2006.51

T. Hori, Y. Nishida, S. Murakami

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引用次数: 1

摘要

本文介绍了一种用于养老院的系统，通过无处不在的传感器监测老年人的日常活动。在该系统中，传感器检测并保存老年人的位置作为其生活日志，并对这些日志进行分析，从而获得老年人日常生活活动的证据。收集到的证据使护理人员能够为老年人提供有效的支持。在我们的实验中，系统积累了一个半月的位置数据，我们对这些数据进行分析，得到了他的日常活动模型，比如一天中的时间与上厕所的概率之间的关系。本文介绍了该系统的基本概念和概述，并对部分实验结果作了进一步说明

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evidence-based nursing care support enhanced by minimally privacy invasive and pervasive sensing technology

This paper introduces a system for nursing homes, where daily activities of elderly persons are monitored by pervasive sensors. In this system, the sensors detect and save position of an elderly person as his life log and these logs are analyzed for obtaining the evidence of his activities of daily living. The collected evidence enables caregivers to provide effective support for the elderly. In our experiment, the system accumulated position data for a month and a half and we analyzed them to obtain his daily activities models, such as the relation between the time of day and the probability of visiting the lavatory. This paper presents the concept and the overview of the system and explains further some experimental results

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Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06)

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