Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data

By Yin Zhang, Meikang Qiu, Chun-Wei Tsai, Mohammad Mehedi Hassan, Atif M. Alamri. 2017

783 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition

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

In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

NAS-Unet: Neural Architecture Search for Medical Image Segmentation (2019, background): “The mutual promotion of deep learning and big data and cloud computing has brought much development to computer vision [6].”
Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control (2016, background): “[11] introduced a patient-centric system built on cloud with data collection layer, data management layer and data service layer.”
Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation (2019, neutral): “Our method may be combined with recommendation system [43], mobile computing [41], and big data [42].”
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities (2017, background): “care cyber-physical system [12], it innovatively brought for-”
The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges (2018, background): “to remotely offload computation- or data-intensive tasks [312, 63, 324, 283, 55, 300, 207, 83, 296] or to perform further processing activities and analyses [281, 326].”
Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network (2018, background): “Therefore, future communication network not only needs to support wireless content access, but also offers the provisioning of computational offloading for UEs [6], [7], especially for mobile healthcare [8], smart grid [9], Internet of vehicles [10], intelligent services [11], etc.”
Internet of Medical Things: A Review of Recent Contributions Dealing With Cyber-Physical Systems in Medicine (2018, positive): “context, with the development of cloud and big-data services for telehealth applications [78], [103].”
Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring (2016, background): “– Health Cyber-Physical System : Health-oriented mobile Cyber-Physical System (CPS) plays a vital role in existing medical monitoring applications [23, 28, 31, 32, 94], such as diagnosis, disease treatment and emergency rescue, etc.”
Deep Reinforcement Learning for Cyber Security (2019, background): “monitoring [68], [69], smart grid [70], [71], and transportation [72].”
UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities (2018, background): “cardiology [29], [86], [87], obesity [30], and mental health and behaviour [88].”
Software-Defined Industrial Internet of Things in the Context of Industry 4.0 (2016, background): “It is generally known that CPS (Cyber-Physical Systems) [14], [15] will play an important role in the implementation of Industry 4.”
A review of industrial wireless networks in the context of Industry 4.0 (2015, background): “Meanwhile, new information and communication technologies (ICTs), such as the industrial cloud [76], big data [19, 93], wireless cloud networks [75, 104], industrial internet of things [21] and high performance embedded system [74] have been introduced into the manufacturing industry to meet the…”