Abstract
Mobile health applications are steadily gaining momentum in the modern world given the omnipresence of various mobile or Wi-Fi connections. Given that the bandwidth of these connections increases over time, especially in conjunction with advanced modulation and error-correction codes, whereas the latency drops, the cooperation between mobile applications becomes gradually easier. This translates to reduced computational burden and heat dissipation for each isolated device but at the expense of increased privacy risks. This chapter presents a configurable and scalable edge computing architecture for cooperative digital health mobile applications.
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This chapter is part of Tensor 451, a long-term research initiative whose primary objective is the development of novel, scalable, numerically stable, and interpretable tensor analytics.
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Drakopoulos, G., Mylonas, P., Sioutas, S. (2020). An Architecture for Cooperative Mobile Health Applications. In: Vlamos, P. (eds) GeNeDis 2018. Advances in Experimental Medicine and Biology, vol 1194. Springer, Cham. https://doi.org/10.1007/978-3-030-32622-7_2
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DOI: https://doi.org/10.1007/978-3-030-32622-7_2
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