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Survey of Immersive Techniques for Surgical Care Telemedicine Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Telemedicine is one of the rising and innovative tools in medicine that allows the remote delivery of health services over the internet. This technology enables people who do not have direct and urgent access to expert ...
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 ...
I-SEE: Intelligent, Secure, and Energy-Efficient Techniques for Medical Data Transmission Using Deep Reinforcement Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The rapid evolution of remote health monitoring applications is foreseen to be a crucial solution for facing an unpredictable health crisis and improving the quality of life. However, such applications come with many ...
Dynamic Resource Allocation of eMBB-uRLLC Traffic in 5G New Radio
(
IEEE Computer Society
, 2020 , Conference Paper)
5G technology is intended to support three promising services with heterogeneous requirements: Ultra-Reliable and Low Latency Communication (uRLLC), enhanced Mobile Broadband (eMBB) and massive Machine Type Communication ...
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 ...
Classification for Imperfect EEG Epileptic Seizure in IoT applications: A Comparative Study
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Epileptic seizure detection could be detected through investigating the electroencephalography (EEG), which is deemed to be very important for IoT wearable sensor-based health systems. EEG-based classification is crucial ...