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This contribution shows the comparison of two methods, the principal components analysis and the Karhunen- Loeve transform. Indeed, reactive hyperemia signals obtained with laser Doppler flowmetry are currently used to diagnose peripheral arterial occlusive diseases (PAOD), but they are not noise-free. De-noising of such signals could lead to an improved diagnosis. For this purpose, the principal...
A computational model based on finite element method is derived to examine how the simulated time-dependent signals are related to the presence of residual fluorescence in biological media surrounding a fluorescent object. We apply a subtraction technique on recorded data when imperfect uptake of fluorescing agent into the tumor is considered. We show the limits of the subtracting method for low target:...
Dans cet article, deux méthodes hybrides de simulations numériques du transport de la lumière dans les tissus biologiques sont comparées. Le premier modèle, résultant de l'association «transport radiatif–diffusion», s'appuie sur la résolution par la méthode des éléments finis de l'équation du transport radiatif et de son approximation. La seconde méthode, encore appelée méthode de Monte-Carlo hybride,...
Dans cet article, deux méthodes hybrides de simulations numériques du transport de la lumière dans les tissus biologiques sont comparées. Le premier modèle, résultant de l'association «transport radiatif–diffusion», s'appuie sur la résolution par la méthode des éléments finis de l'équation du transport radiatif et de son approximation. La seconde méthode, encore appelée méthode de Monte-Carlo hybride,...
Caractériser la période de sevrage de la population des femmes fumeuses au cours de la grossesse.Il s'agit d'une enquête descriptive par questionnaire sur un échantillon de femmes accouchant dans quatre régions françaises incluant 979 sujets. Les variables analysées concernent les caractéristiques maternelles de l'accouchement et du nouveau-né, les habitudes tabagiques avant et pendant la grossesse...
Extracting the most important features of input data is extremely important. In this paper we introduced a new approach of feature extraction based on singular value decomposition of the S-transform time-frequency matrix of the laser Doppler flowmetry signal. We used this new approach to study reactive hyperemia blood flow recordings. This kind of bio-data provides an interesting biomedical investigation...
Empirical mode decomposition (EMD) is a recently introduced tool for decomposing signals into so-called intrinsic mode functions (IMF). These IMF represent the data by means of oscillating waves with local zero mean. In some sense the decomposition can be compared with a time-varying filter bank, i.e., signals are decomposed using band limited filters with band widths that vary in time. The main attribute...
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