Research Article
DigiAID: A Wearable Health Platform for Automated Self-tagging in Emergency Cases
@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
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.
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