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4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"

Research Article

DigiAID: A Wearable Health Platform for Automated Self-tagging in Emergency Cases

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  • @INPROCEEDINGS{10.4108/icst.mobihealth.2014.257541,
        author={Abdelmajid Khelil and Faisal Shaikh and Adil Shaikh and Emad Felemban and Hattan Bojan},
        title={DigiAID: A Wearable Health Platform for Automated Self-tagging in Emergency Cases},
        proceedings={4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"},
        publisher={IEEE},
        proceedings_a={MOBIHEALTH},
        year={2014},
        month={12},
        keywords={body sensor networks mobile health emergency rescue first response},
        doi={10.4108/icst.mobihealth.2014.257541}
    }
    
  • Abdelmajid Khelil
    Faisal Shaikh
    Adil Shaikh
    Emad Felemban
    Hattan Bojan
    Year: 2014
    DigiAID: A Wearable Health Platform for Automated Self-tagging in Emergency Cases
    MOBIHEALTH
    IEEE
    DOI: 10.4108/icst.mobihealth.2014.257541
Abdelmajid Khelil1,*, Faisal Shaikh1, Adil Shaikh1, Emad Felemban1, Hattan Bojan1
  • 1: UQU - Science & Technology Unit
*Contact email: abdelmajid.khelil@ieee.org

Abstract

The presence medicine usually leads to explosive costs for a full medical coverage in particular for rural areas, frequent nomadic patients and mass casualty incidents. Therefore, advanced tele-medicine such as mobile health (m-Health) is gaining at importance. Body Sensor Networks (BSN) represent a fundamental tool to enable future tele-medicine. In this paper, we present a novel experimental BSN platform that allows to (a) measure important health indications, and (b) to map the health status of the individual carrying the platform into a set of predefined classes. We describe the components of the experimental platform while highlighting its key benefits to the research community through a set of experiments.

Keywords
body sensor networks mobile health emergency rescue first response
Published
2014-12-05
Publisher
IEEE
http://dx.doi.org/10.4108/icst.mobihealth.2014.257541
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