Patient Health Description using NFC-Tag-M-Health

Ayyalraj, Midhun Kumar; Balamurugan, S.

doi:10.1109/aicai.2019.8701283

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…Research has been carried out into use of NFC in the health sector. Several studies have developed a medical record system using an NFC tag (Ayyalraj and Balamurugan, 2019) (Ukalkar, 2017) (Renardi et al , 2018), trying to integrate medical measurement tools using NFC (Nabi et al , 2015). Security systems have also been developed for NFC data transactions (Sethia, 2014) (Marcus, 2009).…”

Section: Introductionmentioning

confidence: 99%

NFC and IoT-based electronic health card for elementary students using sensor fusion method

Basjaruddin¹,

Fakhrudin²,

Sudarsa³

et al. 2021

IJPCC

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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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