CYBER PHYSICAL SYSTEMS FOR HEALTHCARE.
Journal Title: International Journal of Advanced Research (IJAR) - Year 2018, Vol 6, Issue 11
Abstract
In the modern world, Cyber Physical Systems (CPS) can be considered as a new generation of systems with integrated control, communication and computational capabilities. Just as the Internet has transformed, how people interact with each other, cyber physical systems will transform the interaction of people with the physical world. Currently, the study of CPS is still in its infancy and there exist many research issues and challenges ranging from electricity power, health care, transportation and smart building, agriculture etc. In this article introduces the architecture of CPS (cyber physical systems and wireless sensor networks (WSNs) for cloud computing for life support or healthcare) and its application for monitoring and decision support systems. The proposed CPS architecture consists of three main components: 1) the communication part, 2) the computation part, and 3) the resource management part for healthcare. Such integration, which is called Cyber-physical Systems (CPS), is transforming the industry, agriculture and hospital into the next level. CPS facilitates the systematic transformation of massive data into information, which makes the invisible patterns of degradations and inefficiencies visible and yields to optimal decision making system. This paper focuses on existing trends in the development of hospital big data analytics and CPS. Detailed analysis and explanation are given for relevant models such as cloud computing, real time scheduling and security models. Finally, a health care application part is presented based on our practical test bed which has been built for several years. With the rapid advancement of Information and Communication Technologies (ICT) and the integration of advanced analytics into manufacturing, products and services, many industries and hospitals are facing new opportunities and at the same time challenges of maintaining their competency and present needs. Finally, a case study on the development of intelligent machines using the CPS is presented.
Authors and Affiliations
Md. Obaidur Rahaman, Abusaleh Shuvo, M. Abul Kashem.
Keywords
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- EP ID EP423082
- DOI 10.21474/IJAR01/7968
- Views 39
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