Challenges and Research Directions in Medical Cyber–Physical Systems
By Insup Lee, O. Sokolsky, Sanjian Chen, J. Hatcliff, Eunkyoung Jee, Baekgyu Kim, Andrew L. King, M. Mullen-Fortino, Soojin Park, Alex Roederer and 1 more. Proceedings of the IEEE, 2012
366 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Surgery
View Paper: https://www.semanticscholar.org/paper/232556715a5e9d727c0ae17629c33cd965a193e3
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In Biomedical Engineering
In Computer Vision and Pattern Recognition
Citations in the corpus
- Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System (2017, methodology): “[5] as virtual medical devices (VMDs) shown in Fig.”
- Cyber-physical systems security: Limitations, issues and future trends (2020, background): “cess through either a logical or physical network breach and to retrieve important data, leading to a privacy breach [80] .”
- Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, background): “[14] also advocated building digital twin technologies in medicine (see, for example, [15], [16] for a detailed description of medical cyber-physical systems).”
- A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems (2018, background): “Examples include unmanned aerial vehicles (UAV), wireless sensor networks, (semi-) autonomous cars [5], vehicular networks [3] and a new generation of sophisticated life-critical and networked medical devices [6].”
- Cyber-Physical Systems Security—A Survey (2017, background): “Because of the lack of mandatory security standards for manufacturers of medical devices, some resort to designing proprietary protocols and rely on their secrecy as a security measure [88].”
- Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges (2018, methodology): “The VMD [162] instances bind a clinical algorithm and”