Implementations of Wireless and Wired Intelligent Systems for Healthcare with Focus on Diabetes and Ultrasound Applications

The research and implementations presented in this thesis focuses mainly on healthcare applications utilizing the wireless and wired communication and “Micro-Electro-Mechanical Systems” (MEMS) technologies, and secondly on security aspects. Chapters four and five presents new work in intelligent diabetes remote monitoring front-end system and into the corresponding new ultrasound simulator training systems. The motivation from the University of Sheffield of Electronic and Electrical Engineering Department and Sheffield Children Hospital with the partial grant scholarship from “Engineering and Physical Sciences Research Council” (EPSRC) for involvement in one “Collaborations for Leadership in Applied Health Research and Care” (CLAHRC) projects, was to improve the existing WithCare+ system and also the development of multiple new front-end solutions for it. My motivation to create solutions which will improve the life of patients who suffer from chronic disease such as type-1 diabetes, and also to provide new methods in management of that illness by clinicians and possible resulting annual government money saving, drives me to the successful result. From the other side, the motivation from the department of Neonatal in Sheffield Royal Hallamshire Hospital and the University of Sheffield of Electronic and Electrical Engineering Department drives me to the creation of a new, very low cost ultrasound simulation training system, using new components such as MEMS sensors. The hardware design and embedded source code was created in order to provide a ready library, for use by other projects, where 3D space orientation is required through exploitation of MEMS sensors and intelligent fusion filter algorithm. The third contribution affects the cryptographic aspects. The new implementation of fast and very efficient portable C code algorithm for t-adic NAF Key generation in ECC cryptographic principle for utilization of it with Koblitz curves presented in Appendix I.