4th International ICST Conference on Body Area Networks

Research Article

Mobile Health Monitoring Through Biotelemetry

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  • @INPROCEEDINGS{10.4108/ICST.BODYNETS2009.5835,
        author={Andrew D. Jurik and Jonathan F. Bolus and Alfred C. Weaver and Benton H. Calhoun and Travis N. Blalock},
        title={Mobile Health Monitoring Through Biotelemetry},
        proceedings={4th International ICST Conference on Body Area Networks},
  • Andrew D. Jurik
    Jonathan F. Bolus
    Alfred C. Weaver
    Benton H. Calhoun
    Travis N. Blalock
    Year: 2010
    Mobile Health Monitoring Through Biotelemetry
    DOI: 10.4108/ICST.BODYNETS2009.5835
Andrew D. Jurik1,*, Jonathan F. Bolus2,*, Alfred C. Weaver1,*, Benton H. Calhoun2,*, Travis N. Blalock2,*
  • 1: Department of Computer Science, University of Virginia, Charlottesville, VA, USA
  • 2: Department of Electrical & Computer Engineering, University of Virginia, Charlottesville, VA, USA
*Contact email: adj3t@virginia.edu, jfb9e@virginia.edu, acw@virginia.edu, bhc2b@virginia.edu, tnb2a@virginia.edu


As the population ages and the risk of chronic disease increases, the cost of healthcare will rise. Technology for mobile telemetry could reduce cost and improve the efficiency of treatment. In order to achieve these goals, we first need to overcome several technical challenges, including sufficient system lifetime, high signal fidelity, and adequate security. In this paper we present the design, implementation, and evaluation of a Mobile Biotelemetric System (MBS) that addresses these remote medical monitoring challenges. MBS comprises a custom low-power sensor node that accurately collects and analyzes electrocardiogram (ECG) data, a client service with a multifaceted policy engine that evaluates the data, and a web portal interface for visualizing ECG data streams. MBS differs from other remote monitoring systems primarily in the policy engine's ability to provide flexible, robust, and precise system communication from end-to-end and to enable tradeoffs in metrics such as power and transmission frequency. We show that, given a representative set of ECG signals, policies can be set to make the operation of the hardware and software resilient against transient ECG conditions. Further, we incorporate state-of-the-art security practices to safeguard our data and foil common attacks.