A computer system for continuous long-term recording, processing, and analysis of physiological data of brain injured patients in ICU settings.
The objective of this project was to assemble and test a computer-based system for continuous long-term physiological data acquisition. The system would be used to study short-term (heart rate variability) and long-term (circadian rhythms) dynamics of physiological parameters in severely brain injured patients in ICU settings. A system has been built using open-source software and the Linux operating system as the platform. The system consists of three main parts: data acquisition, processing and analysis. The system was tested in ICU and experimental settings for long periods of time (up to 10 days of non-stop recording). The system appeared to function properly and accurately. Samples of the data according to the stages of acquisition-analysis process are presented in the paper. Avenues for the system use and development are discussed.
EPC-based information sharing networks are a global effort to standardize the supply chainwide exchange of operational trace data. Due to the complex nature of supply chains and different information sharing relationships, security is a critical issue. Prior research and end-user feedback suggest that there is currently a limited understanding of how to assess and address security threats that could affect multiple parties. In this chapter, we describe a threat model that can help to compensate this shortcoming. Our model helps to asses current as well as future risks. Our findings suggest that designers, operators, and users of EPC-based information sharing networks should focus on providing accountability as a key aspect of improving collective security.