Abstract
Senior care has become one of the pressing societal challenges faced by many developed and emerging countries, including the US (the aging baby boomer) and China (the reverse 4-2-1 family pyramid due to one child policy). Despite failing health, most senior citizens prefer to live independently at home and hence the focus of current healthcare technologies have shifted from traditional clinical care to “at-home” care for the senior citizens. We propose to develop SilverLink, a system that is unique in its smart and connected technologies and will offer: (1) affordable and non-invasive home-based mobile health technologies for monitoring health-related motion and daily activities; (2) advanced mobile health analytics algorithms for fall detection, health status progression monitoring, and patient health anomaly detection and alert; and (3) a comprehensive patient health activity portal for reporting user activity and health status and for engaging with family members. This system will initially be launched in the US, in China and in Taiwan and will aim to overcome the limitations of existing home-care solutions.
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Acknowledgements
This work is supported in part by the University of Arizona Artificial Intelligence Lab and the Caduceus Intelligence Corporation, funded by the National Science Foundation (IIP-1417181) and the National Taiwan University (NTUH). We wish to acknowledge our collaborators in the U.S. and Taiwan for their research support. We would also like to extend our gratitude to Miss Xiao Liu for her contributions.
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Chuang, J. et al. (2016). SilverLink: Smart Home Health Monitoring for Senior Care. In: Zheng, X., Zeng, D., Chen, H., Leischow, S. (eds) Smart Health. ICSH 2015. Lecture Notes in Computer Science(), vol 9545. Springer, Cham. https://doi.org/10.1007/978-3-319-29175-8_1
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DOI: https://doi.org/10.1007/978-3-319-29175-8_1
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