• DocumentCode
    3685067
  • Title

    SenseMyHeart: A cloud service and API for wearable heart monitors

  • Author

    P. M. Pinto Silva;J. P. Silva Cunha

  • Author_Institution
    INESC-TEC, Rua do Campo Alegre 687, 4150-179 Porto, Portugal
  • fYear
    2015
  • Firstpage
    4986
  • Lastpage
    4989
  • Abstract
    In the era of ubiquitous computing, the growing adoption of wearable systems and body sensor networks is trailing the path for new research and software for cardiovascular intensity, energy expenditure and stress and fatigue detection through cardiovascular monitoring. Several systems have received clinical-certification and provide huge amounts of reliable heart-related data in a continuous basis. PhysioNet provides equally reliable open-source software tools for ECG processing and analysis that can be combined with these devices. However, this software remains difficult to use in a mobile environment and for researchers unfamiliar with Linux-based systems. In the present paper we present an approach that aims at tackling these limitations by developing a cloud service that provides an API for a PhysioNet-based pipeline for ECG processing and Heart Rate Variability measurement. We describe the proposed solution, along with its advantages and tradeoffs. We also present some client tools (windows and Android) and several projects where the developed cloud service has been used successfully as a standard for Heart Rate and Heart Rate Variability studies in different scenarios.
  • Keywords
    "Heart rate variability","Electrocardiography","Biomedical monitoring","Stress","Monitoring","Software"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319511
  • Filename
    7319511