Miguel Martínez de Espronceda Cámara
Information Technologies (ITs) bring new applications to healthcare. They model a new paradigm where diseases are prevented and patients become proactive actors of their own health management. Nevertheless, there are some challenges that must be worked out in order to take up this new paradigm. These challenges include security, privacy, costs, risk management, accessibility, and interoperability, anong otheres. Accordingly several standards are being developed and adopted in order to join efforts. In terms of Personal Health Devide (PHD) interoperability, the new branch of the ISO/IEEE 11073 family of standards (X73), the ISO/IEEE 11073 for Personal Health Devices (X73PHD) defines a new interface between agents an managers. This standard has recently evolved to reduce its complexity and to support new wireless technologies. Nevertheless, it may be still hard to implement. One reason is that hardware upgrades may be needed, especially in agents with limited hardware resources.
This thesis proposes a new methodology to implement X73PHD-compliant agents with limited harware resources. The so-called patterns-based methodology is based on specialized algorithms for analysis and synthesis of Application Protocol Data Units (APDU) using APDU-patterns. This methodology is studied, proposing as result software architecture as well as implementation guidelines. In addition, adiscussion of several implementation approaches, a nd a comparision of footprint and latency are provided. However, implementations based on this new methodology require a deep knowledge of X73PHD. By this reason, this thesis studies automation algorithms and proposes a new Sofware Development kit (SDK). Using it, the developer just needs to specify agent¿s model, including the Domain Information Model (DIM), the service model, and the communication model. The SDK automatically generates the source code of the X73PHD stack. In order to do that, the SDK follows the guidelines defined by patterns-based methodology. Hence, the resulting source code si optimized in both footprint an latency.
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