An IoT-Based Architecture to Develop a Healthcare Smart Platform View Full Text


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Chapter Info

DATE

2017-09-27

AUTHORS

Isaac Machorro-Cano , Uriel Ramos-Deonati , Giner Alor-Hernández , José Luis Sánchez-Cervantes , Cuauhtémoc Sánchez-Ramírez , Lisbeth Rodríguez-Mazahua , Mónica Guadalupe Segura-Ozuna

ABSTRACT

Nowadays, obesity and hypertension are two global health problems that affect the quality of life of people and thus their work life. The Internet of Things (IoT) is a paradigm in which everyday objects are equipped with identification, detection, interconnection, and processing capabilities that allow them to communicate with one another and with other devices and services through the Internet to achieve some goal. The IoT great opportunities for monitoring, analyzing, diagnosing, controlling and providing treatment recommendations for chronic-degenerative diseases, such as obesity and hypertension. In this work, we design a smart healthcare platform architecture based on the IoT paradigm; the paper also discusses important literature associating obesity, hypertension, and other chronic-degenerative diseases with the applications of the IoT paradigm. Finally, to validate our architecture, we present the case study of an elderly patient suffering from overweight and hypertension. More... »

PAGES

133-145

References to SciGraph publications

  • 2015-04. The internet of things: a survey in INFORMATION SYSTEMS FRONTIERS
  • 2015-03. Enabling RFID technology for healthcare: application, architecture, and challenges in TELECOMMUNICATION SYSTEMS
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  • 2017. The Art of Advanced Healthcare Applications in Big Data and IoT Systems in ADVANCES IN MOBILE CLOUD COMPUTING AND BIG DATA IN THE 5G ERA
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  • 2014-09. Mobile healthcare application with EMR interoperability for diabetes patients in CLUSTER COMPUTING
  • Book

    TITLE

    Technologies and Innovation

    ISBN

    978-3-319-67282-3
    978-3-319-67283-0

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-67283-0_10

    DOI

    http://dx.doi.org/10.1007/978-3-319-67283-0_10

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1092033329


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    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-67283-0_10'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-67283-0_10'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-67283-0_10'


     

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