Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011. Revised Selected Papers

Research Article

Distributed Management of Pervasive Healthcare Data through Cloud Computing

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  • @INPROCEEDINGS{10.1007/978-3-642-29734-2_53,
        author={Charalampos Doukas and Thomas Pliakas and Panayiotis Tsanakas and Ilias Maglogiannis},
        title={Distributed Management of Pervasive Healthcare Data through Cloud Computing},
        proceedings={Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011. Revised Selected Papers},
        proceedings_a={MOBIHEALTH},
        year={2012},
        month={10},
        keywords={Cloud Computing Wearable Sensors Sensor data management Fall Detection Distributed programming web services},
        doi={10.1007/978-3-642-29734-2_53}
    }
    
  • Charalampos Doukas
    Thomas Pliakas
    Panayiotis Tsanakas
    Ilias Maglogiannis
    Year: 2012
    Distributed Management of Pervasive Healthcare Data through Cloud Computing
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-642-29734-2_53
Charalampos Doukas,*, Thomas Pliakas1,*, Panayiotis Tsanakas2,*, Ilias Maglogiannis3,*
  • 1: Nokia Siemens Networks
  • 2: National Technical University and Greek Research and Education Network
  • 3: University of Central Greece
*Contact email: doukas@aegean.gr, thomas.pliakas@nsn.com, tsanakas@admin.grnet.gr, imaglo@ucg.gr

Abstract

This paper presents a distributed platform based on Cloud Computing for management of pervasive healthcare data. Pervasive applications through continuous monitoring of patients and their context generate a vast amount of data that need to be managed and stored for processing and future usage. Cloud computing and service-oriented applications are the new trends for efficient managing and processing data online. The cloud platform utilized in this work is especially developed for the support of sensors and machine-to-machine (M2M) communication infrastructures. This paper presents an integrated system for managing sensor data related to the detection of disabled or elderly citizens falls. Wearable sensors collect the fall related data, which are then handled by the Cumulocity Cloud Platform.