Adaptive Motif-Based Alerts for Mobile Health Monitoring

Ekanath Rangan; Rahul Pathinarupothi

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.

Keywords: Mobile healthcare Severity detection

Published: 2017-06-05
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-58877-3_23