A healthcare resource management optimization framework for ECG biomedical sensors
Healthcare applications require a fast response because any delay in processing a task may
affect a patient's life. Cloud computing has an excellent contribution in healthcare …
affect a patient's life. Cloud computing has an excellent contribution in healthcare …
Internet of things in Healthcare: a conventional literature review
Purpose The power of the Internet has impacted various industries, especially the
healthcare industry. With the rapid population growth and advancement of various sensor …
healthcare industry. With the rapid population growth and advancement of various sensor …
Smart supervision of cardiomyopathy based on fuzzy Harris Hawks optimizer and wearable sensing data optimization: a new model
W Ding, M Abdel-Basset, KA Eldrandaly… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Cardiomyopathy is a disease category that describes the diseases of the heart muscle. It can
infect all ages with different serious complications, such as heart failure and sudden cardiac …
infect all ages with different serious complications, such as heart failure and sudden cardiac …
Energy-efficient battery management system for healthcare devices
Increasing demand for low-power consumer electronics and wearable medical devices calls
for the means and methods to expedite improved energy efficiency, in the management of …
for the means and methods to expedite improved energy efficiency, in the management of …
[HTML][HTML] Hybrid-based framework for COVID-19 prediction via federated machine learning models
A Kallel, M Rekik, M Khemakhem - The Journal of supercomputing, 2022 - Springer
Abstract The COronaVIrus Disease 2019 (COVID-19) pandemic is unfortunately highly
transmissible across the people. In order to detect and track the suspected COVID-19 …
transmissible across the people. In order to detect and track the suspected COVID-19 …
FogDLearner: A deep learning-based cardiac health diagnosis framework using fog computing
The application of the Internet of Things (IoT) and Artificial Intelligence (AI) in healthcare is
an emerging domain. In Healthcare applications, relying on both IoT and AI requires paying …
an emerging domain. In Healthcare applications, relying on both IoT and AI requires paying …
An energy-efficient fog-to-cloud Internet of Medical Things architecture
S Tahir, ST Bakhsh, M Abulkhair… - International Journal of …, 2019 - journals.sagepub.com
In order to increase the reliability, accuracy, and efficiency in the eHealth, Internet of Medical
Things is playing a vital role. Current development in telemedicine and the Internet of Things …
Things is playing a vital role. Current development in telemedicine and the Internet of Things …
[HTML][HTML] Analysis of mobility support approaches for edge-based IoT systems using high data rate Bluetooth Low Energy 5
R Katila, TN Gia, T Westerlund - Computer Networks, 2022 - Elsevier
In remote monitoring edge-based IoT applications, high latency caused by the mobility of a
sensor device can cause serious consequences such as inaccurate analysis and low quality …
sensor device can cause serious consequences such as inaccurate analysis and low quality …
A novel fog-computing-assisted architecture of E-healthcare system for pregnant women
Recently, there is a tremendous rise and adoption of smart wearable devices in smart
healthcare applications. Moreover, the advancement in sensors and communication …
healthcare applications. Moreover, the advancement in sensors and communication …
[HTML][HTML] A fog computing architecture with multi-layer for computing-intensive iot applications
The emergence of new technologies and the era of IoT which will be based on compute-
intensive applications. These applications will increase the traffic volume of today's network …
intensive applications. These applications will increase the traffic volume of today's network …