Online measurement of mechanical parameters in ventilated neonates with rejection of unrepresentative cycles.
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Biomedical subjects
Publications and source records attributed to P Morizet-Mahoudeaux.
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This study presents a different approach of the maximum expiratory flow volume curve analysis. Instead of computing only its classical parameters, we are interested in the perceptible components it raises up, that is its pattern. Patterns have been quantified and classified with algorithms used in pattern recognition. A criterion of likeness and a criterion of proximity of each character curve with a standard pattern are calculated. It permits to associate a character and a normal or a pathological standard pattern. The automata which has been designed for automatic and real-time acquisition and computation of the test is described. Results on populations of children and obstructive patients are then presented. It lets us assess the ability of the system for early bronchial diagnosis.
Decision-making in hospital, when a biomedical instrumentation investment has to be decided, is not simple because of the large amount of criteria which should be considered. To show the most important criteria in decision-making, their respective weight and their interdependencies, we used multi-dimensional analysis methods. A quasi-exhaustive list of criteria has been constructed and sent to all the heads of medical departments, the directors and the clinical engineers of the French university hospitals, in order to obtain their appreciation of the influence of these criteria in their own decision-making experience. The application of factorial analysis methods to the answers gives two main results. There is no characteristic behaviour of professional groups, such as engineers, directors, surgeons, radiologist, etc.... A list of 21 criteria, which are the most influential in decision-making, can be identified. This result will be emphasized in order to develop a tool which allows one to measure the adequacy of a biomedical instrument that shows a clinical need.
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