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Improved Wireless Medical Cyber-Physical System (IWMCPS) Based on Machine Learning by Ahmad Alzahrani; Mohammed Alshehri; Rayed AlGhamdi; Sunil Kumar Sharma is a Medicine article available to read on EtoBox.

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Medical cyber-physical systems (MCPS) represent a platform through which patient health data are acquired by emergent Internet of Things (IoT) sensors, preprocessed locally, and managed through improved machine intelligence algorithms. Wireless medical cyber-physical systems are extensively adopted in the daily practices of medicine, where vast amounts of data are sampled using wireless medical devices and sensors and passed to decision support systems (DSSs). With the development of physical systems incorporating cyber frameworks, cyber threats have far more acute effects, as they are reproduced in the physical environment. Patients’ personal information must be shielded against intrusions to preserve their privacy and confidentiality. Therefore, every bit of information stored in the database needs to be kept safe from intrusion attempts. The IWMCPS proposed in this work takes into account all relevant security concerns. This paper summarizes three years of fieldwork by presenting an IWMCPS framework consisting of several components and subsystems. The IWMCPS architecture is developed, as evidenced by a scenario including applications in the medical sector. Cyber-physical systems

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Author

Ahmad Alzahrani; Mohammed Alshehri; Rayed AlGhamdi; Sunil Kumar Sharma

Publisher

MDPI AG

Published

2023

Language

EN

Field

Medicine (Health Sciences)