一种用于监测老年人健康的节能可穿戴设备
An Energy Efficient Wearable for Monitoring Elderly People Health
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中文总结 AI 辅助
本文提出一种基于Sigfox物联网和手表型可穿戴设备的老年人健康监测系统，通过感知运动、位置和生命体征预测风险，实现至少30天电池寿命，具有低成本、低功耗和高效性。
中文摘要 AI 辅助
老年人群面临跌倒、生命体征突变和昏厥等风险情况。由于身体机能下降和疾病增多，这些情况在此生命阶段变得常见。这一状况给家庭和国家卫生系统带来了关注压力。一些研究提出通过基于智能手机、智能手表及其他通常通信效率低且电池寿命短的设备的老年人健康监测系统来克服这一问题。本文提出了一种基于Sigfox物联网服务和手表型可穿戴设备的高效健康监测系统，用于感知老年人的运动、位置和生命体征，以预测风险情况，其设计目标为实现至少30天的电池寿命。我们的实验结果表明，该架构是一种低成本、低功耗、高效且可行的老年人健康监测解决方案。
英文摘要
The aged population is exposed to risk situations, like falls, sudden changes in vital signs, and faints. These situations become common at this life stage due to a decrease in body capacity and illnesses increase. This scenario imposes attention on families and the national health system. Some studies propose to overcome this problem through elderly health monitoring systems based on smartphones, smartwatches, and other equipment that usually cover low-efficient communication systems and low battery life. This paper proposes an efficient health monitoring system based on Sigfox IoT service and a watch-type wearable device for sensing elderly motion, location, and vital signs to predict risk situations designed to achieve at least 30-days of battery life. Our experimental results show that this architecture is a low-cost, low-power, efficient, and feasible elderly health monitoring solution.
发表机构
- Graduate Program in Computer Science at Pontifical Catholic University of Rio Grande do Sul (PPGCC/PUCRS)（南里奥格兰德天主教大学计算机科学研究生项目）
- Graduate Program in Biomedical Gerontology at Pontifical Catholic University of Rio Grande do Sul (GERONBIO/PUCRS)（南里奥格兰德天主教大学生物医学老年学研究生项目）
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