By Professor Sandeep K. S. Gupta, Dr Tridib Mukherjee, Dr Krishna Kumar Venkatasubramanian

Physique zone networks (BANs) are networks of instant sensors and clinical units embedded in garments, worn on or implanted within the physique, and feature the aptitude to revolutionize healthcare via permitting pervasive healthcare. although, because of their serious purposes affecting human well-being, demanding situations come up while designing them to make sure they're secure for the person, sustainable with no requiring common battery replacements and safe from interference and malicious assaults. This ebook lays the rules of ways BANs may be redesigned from a cyber-physical structures point of view (CPS) to beat those matters. Introducing state of the art theoretical and functional innovations and making an allowance for the original environment-coupled features of BANs, the ebook examines how we will be able to re-imagine the layout of secure, safe and sustainable BANs. It gains real-world case stories, feedback for extra research and undertaking rules, making it priceless for a person concerned with pervasive and cellular healthcare, telemedicine, scientific apps and different cyber-physical structures.

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Overcharge tolerance. Batteries charged without using the control circuitry can be subject to overcharge. Poles can get reversed if batteries are overcharged. Typically three levels of overcharge tolerance are reported – low, medium, and high. • Self-discharge rate. When not used, the battery slowly drains its charge due to inefficiencies in its design, which gives rise to internal resistance. • Gravimetric energy density. This is a term used for the amount of energy stored in a given system or region of space per unit volume.

In this section, we provide an overview of the principal issues associated with safety, security, and sustainability properties (collectively called S3 properties) in the context of BANs. Before proceeding further, it should be noted that, although there are other issues in BAN design, such as reliability, data management, and real-time operation, in the context of this book we assume that these properties are subsumed into the overarching S3 issues. For example, if the communication link from an SpO2 sensor in a BAN to the base station were unreliable, detection of cardiac emergencies would fail, endangering patient safety.

The idea is to allow developers to plug in their protocols, change the properties of the system, and measure the protocol’s performance. Two services enable this feature. – Performance-analysis service. This is a cross-layer service that is used to obtain performance metrics from the system-management service. This is different from the query processor, which queries patient-related data. – System-customization services. , change the bandwidth available to specific medical sensors). This can be used by protocol developers to test their work under different conditions.

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