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.
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Acknowledgments
We express our deep gratitude to our Chancellor and world renowned humanitarian leader Sri Mata Amritanandamayi Devi (Amma) for her inspiration and support towards working on inter-disciplinary research that has direct societal benefit.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Rangan, E., Pathinarupothi, R.K. (2017). Adaptive Motif-Based Alerts for Mobile Health Monitoring. In: Perego, P., Andreoni, G., Rizzo, G. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 192. Springer, Cham. https://doi.org/10.1007/978-3-319-58877-3_23
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DOI: https://doi.org/10.1007/978-3-319-58877-3_23
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