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IoT system for monitoring vital signs of elderly population

机译:监测老年人人口生命迹象的IOT系统

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The leading cause of death of elderly Europeans (over 65 years) is heart diseases [1]. Adding up to that, there is also the fact that 30% of elderly people encounter unintentional falls each year, and most of them are fatal [2]. Our paper describes the concept and architecture of a system which is able to monitor the body's vital signs, pre-process the data, generate emergency alerts and use the power of cloud machine learning to predict medical states.
机译:老年欧洲人死亡原因(超过65岁)是心脏病[1]。加入这一点,还有以下事实是,每年30%的老人遇到无意的跌倒,大多数是致命的[2]。我们的论文介绍了一个能够监控身体的生命体征的系统的概念和架构,预先处理数据,生成紧急警报并使用云机器学习的力量来预测医疗状态。

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