IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art

AS Albahri, JK Alwan, ZK Taha, SF Ismail… - Journal of Network and …, 2021 - Elsevier
Numerous studies have focused on making telemedicine smart through the Internet of
Things (IoT) technology. These works span a wide range of research areas to enhance …

[HTML][HTML] Wearable artificial intelligence biosensor networks

Y Zhang, Y Hu, N Jiang, AK Yetisen - Biosensors and Bioelectronics, 2023 - Elsevier
The demand for high-quality healthcare and well-being services is remarkably increasing
due to the ageing global population and modern lifestyles. Recently, the integration of …

Communication-efficient federated learning for wireless edge intelligence in IoT

J Mills, J Hu, G Min - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
The rapidly expanding number of Internet of Things (IoT) devices is generating huge
quantities of data, but public concern over data privacy means users are apprehensive to …

Lightweight and anonymity-preserving user authentication scheme for IoT-based healthcare

M Masud, GS Gaba, K Choudhary… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) produces massive heterogeneous data from various applications,
including digital health, smart hospitals, automated pathology labs, and so forth. IoT sensor …

Edge-cloud computing and artificial intelligence in internet of medical things: architecture, technology and application

L Sun, X Jiang, H Ren, Y Guo - IEEE access, 2020 - ieeexplore.ieee.org
With the booming development of medical informatization and the ubiquitous connections in
the fifth generation mobile communication technology (5G) era, the heterogeneity and …

Hybrid deep learning for botnet attack detection in the internet-of-things networks

SI Popoola, B Adebisi, M Hammoudeh… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Deep learning (DL) is an efficient method for botnet attack detection. However, the volume of
network traffic data and memory space required is usually large. It is, therefore, almost …

[PDF][PDF] TinyML-Based Classification in an ECG Monitoring Embedded System

E Kim, J Kim, J Park, H Ko… - Computers, Materials and …, 2023 - cdn.techscience.cn
Recently, the development of the Internet of Things (IoT) has enabled continuous and
personal electrocardiogram (ECG) monitoring. In the ECG monitoring system, classification …

Federated learning over wireless IoT networks with optimized communication and resources

H Chen, S Huang, D Zhang, M Xiao… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
To leverage massive distributed data and computation resources, machine learning in the
network edge is considered to be a promising technique, especially for large-scale model …

Sensors for internet of medical things: State-of-the-art, security and privacy issues, challenges and future directions

PP Ray, D Dash, N Kumar - Computer Communications, 2020 - Elsevier
Health is wealth. Thus, it is very important to keep it healthy all the time for sustenance of
human livelihood. Last decade has witnessed a number of digital developments, including …

Edge intelligence for empowering IoT-based healthcare systems

V Hayyolalam, M Aloqaily, Ö Özkasap… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
The demand for real-time, affordable, and efficient smart healthcare services is increasing
exponentially due to the technological revolution and burst of population. To meet the …