Prototype of multi-layer personal cardiac monitoring system for data interoperability problem

Eko Sakti Pramukantoro, Akio Gofuku

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Personal monitoring of heart conditions offers an advantage as a prevention mechanism for cardiovascular disease. This system can be developed using a wearable sensor device along with IoT approach. However, the data interoperability problem often arises in attempt to develop an IoT-based system. Data interoperability comes from different data formats to save the data that are produced by health sensor devices. The current solution can be either cloud or edge-based middleware which both have their own merits and drawbacks. This study offers multi-layer monitoring heart conditions that combines cloud and edge-based middleware to solve data interoperability. The middleware on the edge layer performs data normalization using the JSON format and Restful API standard to transfer data to communicate with an IoT application. On the other hand, at the cloud side, it provides heterogeneous data storage with the ability to store various health data formats.

Original languageEnglish
Title of host publicationProceedings of 2020 International Conference on Sustainable Information Engineering and Technology, SIET 2020
PublisherAssociation for Computing Machinery
Pages84-89
Number of pages6
ISBN (Electronic)9781450376051
DOIs
Publication statusPublished - Nov 16 2020
Event5th International Conference on Sustainable Information Engineering and Technology, SIET 2020 - Virtual, Online, Indonesia
Duration: Nov 16 2020Nov 17 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Sustainable Information Engineering and Technology, SIET 2020
CountryIndonesia
CityVirtual, Online
Period11/16/2011/17/20

Keywords

  • cardiovascular disease
  • cloud application
  • interoperability
  • IoT

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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