Body Area Networks: Safety, Security, and Sustainability - download pdf or read online
By Professor Sandeep K. S. Gupta, Dr Tridib Mukherjee, Dr Krishna Kumar Venkatasubramanian
Physique quarter networks (BANs) are networks of instant sensors and clinical units embedded in garments, worn on or implanted within the physique, and feature the capability to revolutionize healthcare via permitting pervasive healthcare. in spite of the fact that, because of their serious functions affecting human wellbeing and fitness, demanding situations come up whilst designing them to make sure they're secure for the person, sustainable with out requiring common battery replacements and safe from interference and malicious assaults. This e-book lays the principles of the way BANs could be redesigned from a cyber-physical structures standpoint (CPS) to beat those matters. Introducing state-of-the-art theoretical and sensible concepts and bearing in mind the original environment-coupled features of BANs, the publication examines how we will be able to re-imagine the layout of secure, safe and sustainable BANs. It beneficial properties real-world case experiences, feedback for additional research and undertaking rules, making it precious for an individual interested in pervasive and cellular healthcare, telemedicine, clinical apps and different cyber-physical platforms.
Read Online or Download Body Area Networks: Safety, Security, and Sustainability PDF
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Additional info for Body Area Networks: Safety, Security, and Sustainability
The idea of the generative-model-based technique is to reduce power-hungry communication to a minimum and increase the burden on low-power computation in order to achieve energy efficiency. In order to achieve this, it imposes very complex signalprocessing requirements on the sensors. The processing requirements for a sensor to execute the model-based data collection technique for ECG are the following. 1. Scaling. The amplitude of the sensed ECG signal is highly dependent on the sensor hardware and the ECG lead configuration.
For example, in works such as [55, 56] infusion-pump software has been modeled using timed automata. The diffusion process is simplified so that the drug concentration in the blood is incremented by the infusion rate instantaneously. Such a simplified notion of safety, however, might not entirely capture the hazards resulting from the dynamic interactions of sensors/devices in BANs with their physical environment. Hence, in order to guarantee safety in BANs, it is necessary to accurately characterize the spatio-temporal dynamics of the physical environment and its tight coupling with the sensors/devices.
Several approaches to enable medical-device security are being considered. For instance, manufacturers may need to provide the user with appropriate device-interface information and information to adequately configure communication systems with regard to managing security issues. Further, it could be the user’s responsibility to address physical security issues, such as tampering with a device. html). Work is also being done to look at security from a medical-device safety and risk-management perspective.