基于传感器融合方法的NFC和iot小学生电子健康卡

N. Basjaruddin, Faris Rifqi Fakhrudin, Y. Sudarsa, F. Noor
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引用次数: 1

摘要

目的:为了克服小学生营养不良问题,提高公众对这一问题的认识,印度尼西亚政府以纸质健康卡的形式制定了"学童健康卡"方案。然而,目前,KMS-AS的记录数据仍然是写在纸上的,这在卫生过程方面效率较低。需要一种综合测量装置和在线数据记录系统来促进儿童健康,并便利数据从一个地方到另一个地方的获取和传输。本研究旨在利用传感器融合方法开发基于NFC和物联网的KMS-AS。本研究结果表明,利用物联网技术,可以将体重、身高、体温和Spo2水平的综合测量装置与移动和Web应用程序连接,方便儿童营养状况的数据记录和监测。基于测量工具的结果,采用传感器融合方法对营养状况和健康状况进行分类。近场通信(NFC)技术用于方便用户在进行测量时的识别。结果表明,KMS-AS可以方便地对儿童营养状况和健康状况进行分类。测量和分类数据可以通过网络和移动应用程序进行监控。身高、体重、体温和Spo2测量的准确率分别为98.21%、98.59%、98.93%和98.93%。独创性/价值在这项研究中,作者成功地制作了一个使用传感器融合方法测量体重、身高、温度和Spo2水平的系统,该系统可以集成并使用物联网和NFC连接到移动应用程序和网络。
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NFC and IoT-based electronic health card for elementary students using sensor fusion method
Purpose In the context of overcoming malnutrition in elementary school children and increasing public awareness of this issue, the Indonesian Government has created a “Card for Healthy School Children” (KMS-AS) program in the form of a paper health card. However, currently, the KMS-AS record data are still written on paper, which is less effective in terms of the health process. An integrated measuring device and an online data-recording system are needed to promote children’s health and facilitate access and transfer of data from one place to another. This study aims to develop NFC and IoT-based KMS-AS using sensor fusion method. Design/methodology/approach The results of this study show that an integrated measuring device for weight, height, body temperature and Spo2 level can be connected with mobile and Web applications using IoT technology, facilitating data recording and monitoring of children’s nutritional status. The sensor fusion method was used for the classification of nutritional status and health status, based on the results of measurement tools. Near field communication (NFC) technology was used to facilitate user identification when making measurements. Findings The results show that KMS-AS can facilitate classification of nutritional status and children's health status. Measurement and classification data can be monitored via Web and mobile applications. The accuracy of height, weight, body temperature and Spo2 measurements was 98.21%, 98.59%, 98.93% and 98.93%, respectively. Originality/value In this research, the authors successfully produced a system using sensor fusion method for measuring body weight, height, temperature and Spo2 level, which is integrated and can be connected to mobile applications and the Web using the IoT and NFC.
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