Wireless Mobile Communication and Healthcare. 6th International Conference, MobiHealth 2016, Milan, Italy, November 14-16, 2016, Proceedings

Research Article

Adaptive Motif-Based Alerts for Mobile Health Monitoring

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  • @INPROCEEDINGS{10.1007/978-3-319-58877-3_23,
        author={Ekanath Rangan and Rahul Pathinarupothi},
        title={Adaptive Motif-Based Alerts for Mobile Health Monitoring},
        proceedings={Wireless Mobile Communication and Healthcare. 6th International Conference, MobiHealth 2016, Milan, Italy, November 14-16, 2016, Proceedings},
        proceedings_a={MOBIHEALTH},
        year={2017},
        month={6},
        keywords={Mobile healthcare Severity detection},
        doi={10.1007/978-3-319-58877-3_23}
    }
    
  • Ekanath Rangan
    Rahul Pathinarupothi
    Year: 2017
    Adaptive Motif-Based Alerts for Mobile Health Monitoring
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-319-58877-3_23
Ekanath Rangan1, Rahul Pathinarupothi1,*
  • 1: Amrita Vishwa Vidyapeetham (University)
*Contact email: rahulkrishnan@am.amrita.edu

Abstract

We have developed a rapid remote health monitoring architecture called RASPRO using wearable sensors and smartphones. RASPRO’s novelty comes from its techniques to efficiently compute compact alerts from sensor data. The alerts are computationally fast to run on patients’ smartphones, are effective to accurately communicate patients’ severity to physicians, take into consideration inter-sensor dependencies, and are adaptive based on recently observed parametric trends. Preliminary implementation with practicing physicians and testing on patient data from our collaborating multi-specialty hospital has yielded encouraging results.