Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach
By Amir-Mohammad Rahmani, Tuan Anh Nguyen Gia, Behailu Negash, Arman Anzanpour, Iman Azimi, Mingzhe Jiang, Pasi Liljeberg. Future generations computer systems, 2018
1,058 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/61f5b7704281241d34f79b03061c0e82d75ff158
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Athanasios V. Vasilakos
- V. H. C. de Albuquerque
- Prabal Singh Verma
- Sandeep Kumar Sood
- Javier Del Ser
In Computer Networks and Communications
- Madhusanka Liyanage
- Prabal Singh Verma
- Sandeep Kumar Sood
- Xiaodong Lin
- Pawani Porambage
- Xuemin Shen
- Mika E. Ylianttila
- Athanasios V. Vasilakos
In Computer Vision and Pattern Recognition
- Madhusanka Liyanage
- Kyungbok Min
- Yong Xiang
- Khan Muhammad
- Salman Khan
- Hannu Tenhunen
- Xuemin Shen
- Tarik Taleb
Citations in the corpus
- Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, background): “Smart Healthcare Wearable Big Data Analysis [25], Speech Treatments of Patients with Parkinson’s Disease [25], Smart E-health Gateways [26], Fall Detection for Stroke Patients [40], Prediction of Sudden Cardiac Death [43], Patient Activity Tracking [58], Patient Care in Hospitals [58], Human Health ”
- Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, background): “[53] introduces the smart gateway concept for an IoT-based remote health”
- Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey (2020, background): “Edge intelligence is used on a wide scale in different domains [121], [122] because of its numerous advantages, such as reduced bandwidth and threats, minimal latency, improved consistency, compliance, and lower cost.”
- Fog Assisted-IoT Enabled Patient Health Monitoring in Smart Homes (2018, methodology): “[8] used the concept of fog computing in Healthcare IoT systems.”
- Leveraging Fog Computing for Healthcare IoT (2018, background): “This intermediate layer, known as Fog computing or edge computing [13, 14, 15, 16, 17], provides both generic and domain specific services for devices to enhance usability, reliability, performance and scalability among others.”
- A Survey on Internet of Things and Cloud Computing for Healthcare (2019, background): “In another research work, Rahmani [34] analyzed the role of fog computing in implementing healthcare monitoring framework, and they proposed a mediator layer to receive raw information from sensor devices and then stored them on the cloud.”
- The Future of Healthcare Internet of Things: A Survey of Emerging Technologies (2020, background): “Authors in [145] present a comprehensive early warning system based on fog computing.”