Smart predictive analytics care monitoring model based on multi sensor IoT system: Management of diaper and attitude for the bedridden elderly

Sensors International Pub Date : 2023-01-01 DOI:10.1016/j.sintl.2022.100213

Jaeho Baek

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引用次数: 4

Abstract

In this paper, we propose a multi-sensor IoT system-based smart predictive analytics care and movement monitoring model that can be applied to various diapers and solve these problems for the bedridden elderly. A multi-sensor is designed to monitor the condition of the diaper and the movement of the bedridden elderly, in addition, to know the use condition of the diaper and the attitude of the bedridden elderly. In addition, through the changed pattern of the time series data acquired from the multi-sensor, a model that can know not only the presence or absence of urine/feces/farts but also the attitude of bedridden people is constructed and compared to this, it detects urine/feces/farts, care sensing to know the diaper usage status and the bedridden elderly's attitude duration. We propose smart predictive analytics care monitoring model based on multi sensor IoT system: management of diaper and attitude for the bedridden elderly. The design and proposed method are tested and the results are derived through an accredited certification body for an objective evaluation method.

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基于多传感器物联网系统的智能预测分析护理监测模型：卧床老人的尿布和态度管理

在本文中，我们提出了一种基于多传感器物联网系统的智能预测分析护理和运动监测模型，该模型可应用于各种尿布，并为卧床不起的老年人解决这些问题。设计了一个多传感器来监测尿布的状况和卧床不起老人的活动，此外，还可以了解尿布的使用情况和卧床不起老人的态度。此外，通过多传感器获取的时间序列数据的变化模式，构建了一个不仅可以知道有无尿/粪/屁，还可以知道卧床不起的人的态度的模型，并与之进行比较，检测尿/粪、屁，通过护理传感来了解尿布的使用状态和卧床不住老人的态度持续时间。我们提出了基于多传感器物联网系统的智能预测分析护理监测模型：卧床老人的尿布和态度管理。对设计和建议的方法进行了测试，并通过认可的认证机构得出了客观评估方法的结果。

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来源期刊

Sensors International

CiteScore

17.40

自引率

0.00%

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