System for Estimation of Patient's State - Discussion of the Approach

This chapter presents work on a diagnosis support system with continuous estimation of a sudden cardiac arrest risk. The concept is based on the analysis of the signals received on line from a medical monitor, possibly augmented by clinical data. The need for such solution is motivated and existing approaches towards quantitative estimation of patient’s health are examined. An overview of the system and its building blocks are presented, which allows to define the requirements for the hardware platform and operating system. A discussion follows, explaining the choice made. The design of communication path between the medical monitor decided upon and the discussed system is explained. The prototyping microprocessor board being used is presented, together with detailed description of steps which lead to the development of a fully-featured Linux distribution for this board.

[1]  L Tarassenko,et al.  Integrated monitoring and analysis for early warning of patient deterioration. , 2006, British journal of anaesthesia.

[2]  Marek Kaminski,et al.  ECG signal processing for deceleration capacity assessment , 2011, Proceedings of the 18th International Conference Mixed Design of Integrated Circuits and Systems - MIXDES 2011.

[3]  Kathryn B. Laskey,et al.  UnBBayes: Modeling Uncertainty for Plausible Reasoning in the Semantic Web , 2010 .

[4]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[5]  W. Knaus,et al.  The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. , 1991, Chest.

[6]  W. Knaus The APACHE III Prognostic System , 1992 .

[7]  Olivier Pourret,et al.  Bayesian networks : a practical guide to applications , 2008 .

[8]  Kathryn B. Laskey MEBN: A language for first-order Bayesian knowledge bases , 2008, Artif. Intell..

[9]  Marek Kaminski,et al.  ECG signal processing for T-wave alternans detection , 2009, 2009 MIXDES-16th International Conference Mixed Design of Integrated Circuits & Systems.

[10]  V. Burch,et al.  Modified early warning score predicts the need for hospital admission and inhospital mortality , 2008, Emergency Medicine Journal.

[11]  W. Schaufeli,et al.  Simplified Therapeutic Intervention Scoring System: the TISS-28 items--results from a multicenter study. , 1996 .