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Energy-Aware Distributed Edge ML for mHealth Applications with Strict Latency Requirements
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Edge machine learning (Edge ML) is expected to serve as a key enabler for real-time mobile health (mHealth) applications. However, its reliability is governed by the limited energy and computing resources of user equipment ...
Optimizing Energy-Distortion Trade-off for Vital Signs Delivery in Mobile Health Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Healthcare is considered a top priority worldwide, considering the swift increase in the number of chronic patients who require continuous monitoring. This motivates the researchers to develop scalable remote health ...
A Simple Approach for Securing IoT Data Transmitted over Multi-RATs
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In an mHealth remote patient monitoring scenario, usually control units/data aggregators receive data from the body area network (BAN) sensors then send it to the network or 'cloud'. The control unit would have to transmit ...