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105 results on '"Sorine, Michel"'

102. Large deviations estimates for the multiscale analysis of heart rate variability

Author

Stéphane Seuret, Claire Médigue, Patrick Loiseau, Paulo Gonçalves, Denis Chemla, Michel Sorine, François Cottin, Najmeddine Attia, Julien Barral, Eurecom [Sophia Antipolis], SIgnals and SYstems in PHysiology & Engineering (SISYPHE), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Protocols and softwares for very high-performance network (RESO), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de l'Informatique du Parallélisme (LIP), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Analyse et de Mathématiques Appliquées (LAMA), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Fédération de Recherche Bézout-Université Paris-Est Marne-la-Vallée (UPEM), Unité de biologie intégrative des adaptations à l'exercice (UBIAE), Université d'Évry-Val-d'Essonne (UEVE)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de physiologie et d'explorations fonctionnelles [CHU Raymond-Poincaré], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Raymond Poincaré [AP-HP], Laboratoire Analyse, Géométrie et Applications (LAGA), Université Paris 8 Vincennes-Saint-Denis (UP8)-Centre National de la Recherche Scientifique (CNRS)-Institut Galilée-Université Paris 13 (UP13), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université d'Évry-Val-d'Essonne (UEVE), Université Paris-Est Marne-la-Vallée (UPEM)-Fédération de Recherche Bézout-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Service de physiologie et d'explorations fonctionnelles, AP-HP Hôpital Raymond Poincaré [Garches]-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris 13 (UP13)-Institut Galilée-Université Sorbonne Paris Cité (USPC)-Centre National de la Recherche Scientifique (CNRS), Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris 13 (UP13)-Institut Galilée-Centre National de la Recherche Scientifique (CNRS), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), and Sorine, Michel

Subjects
Statistics and Probability, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Computer science, 0206 medical engineering, 02 engineering and technology, 01 natural sciences, Measure (mathematics), [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, 0103 physical sciences, Econometrics, Statistical physics, 010306 general physics, Singularity spectrum, Legendre polynomials, Scaling, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Signal processing, Series (mathematics), Estimator, Multifractal system, Scale invariance, Condensed Matter Physics, 020601 biomedical engineering, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Large deviations theory, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; In the realm of multiscale signal analysis, multifractal analysis provides with a natural and rich framework to measure the roughness of a time series. As such, it has drawn special attention of both mathematicians and practitioners, and led them to characterize relevant physiological factors impacting the heart rate variability. Notwithstanding these considerable progresses, multifractal analysis almost exclusively developed around the concept of Legendre singularity spectrum, for which efficient and elaborate estimators exist, but which are structurally blind to subtle features like non-concavity or, to a certain extent, non scaling of the distributions. Large deviations theory allows bypassing these limitations but it is only very recently that performing estimators were proposed to reliably compute the corresponding large deviations singularity spectrum. In this article, we illustrate the relevance of this approach, on both theoretical objects and on human heart rate signals from the Physionet public database. As conjectured, we verify that large deviations principles reveal significant information that otherwise remains hidden with classical approaches, and which can be reminiscent of some physiological characteristics. In particular we quantify the presence/absence of scale invariance of RR signals.

Published
2012
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103. Arterial blood pressure analysis based on scattering transform I.

Author

Laleg TM, Crepeau E, Papelier Y, and Sorine M

Subjects
Computer Simulation, Humans, Algorithms, Arteries physiology, Blood Flow Velocity physiology, Blood Pressure physiology, Blood Pressure Determination methods, Diagnosis, Computer-Assisted methods, Models, Cardiovascular
Abstract

This article presents a new method for analyzing arterial blood pressure waves. The technique is based on the scattering transform and consists in solving the spectral problem associated to a one-dimensional Schrödinger operator with a potential depending linearly upon the pressure. This potential is then expressed with the discrete spectrum which includes negative eigenvalues and corresponds to the interacting components of an N-soliton. The approach is analogous to the Fourier transform where the solitons play the role of sinus and cosinus components. The proposed method seems to have interesting clinical applications. It can be used for example to separate the fast and slow parts of the blood pressure that correspond to the systolic (pulse transit time) and diastolic phases (low velocity flow) respectively.

Published
2007
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104. A reduced differential model of the electrical activity of cardiac Purkinje fibres.

Author

Djabella K and Sorine M

Subjects
Animals, Calcium physiology, Electric Conductivity, Electrophysiology, Kinetics, Potassium physiology, Sarcoplasmic Reticulum physiology, Heart physiology, Purkinje Fibers cytology, Purkinje Fibers physiology
Abstract

A reduced order differential model of cardiac Purkinje fibres action potential, with only eight state variables, is presented. Its structure, derived from basic physical principles can be used for the main other cardiac cell types, a useful property for some model-based signal or image processing applications. The electrical activity of cardiac Purkinje fibres is reconstructed using particular values of the parameters. This model of the membrane excitation mechanism and intracellular calcium dynamics describes the principal ionic current underlying autorhythmicity; calcium uptake and release from the sarcoplasmic reticulum; effects of the binding of calcium on myoplasmic proteins which affect the Nernst potential of calcium, and then the membrane potential. The model allows realistic modelling of cardiac Purkinje fibres action potential, total ionic current, CICR dependence on intracellular calcium concentrations. Simulations illustrate the role of the inward sodium current as the dominant mechanism underlying pacemaker depolarization during spontaneous activity.

Published
2006
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105. A multiscale model for the selection process of ovulatory follicles.

Author

Echenim N, Sorine M, and Clement F

Abstract

The biological meaning of follicular development is to free fertilizable oocytes at the time of ovulation. The selection of ovulatory follicles in mammal ovaries is an FSH-dependent selection process. In this paper, we design a multi-scale model of follicular development, where selection arises from the feedback between the ovaries and the pituitary gland and appeals to control theory concepts. Each ovarian follicle is characterized by a 2D density function giving an age and maturity-structured description of its cell population. The control intervenes in the velocity and loss terms of the conservation law ruling the changes in the density. The numerical outputs of the model, integrated with the finite volume method, are consistent with physiological knowledge.

Published
2005
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