Academic literature on the topic 'Traitement des signaux physiologiques'
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Journal articles on the topic "Traitement des signaux physiologiques"
Pallanca, O. "Le biofeedback comme outil de compréhension et de régulation des émotions." European Psychiatry 28, S2 (November 2013): 12–13. http://dx.doi.org/10.1016/j.eurpsy.2013.09.029.
Full textValéra, Marie-Cécile, Coralie Fontaine, Emmanuelle Noirrit-Esclassan, Frédéric Boudou, Melissa Buscato, Marine Adlanmerini, Florence Trémollières, Pierre Gourdy, Françoise Lenfant, and Jean-François Arnal. "Vers une optimisation de la modulation du récepteur des œstrogènes dans le traitement hormonal de la ménopause." médecine/sciences 34, no. 12 (December 2018): 1056–62. http://dx.doi.org/10.1051/medsci/2018297.
Full textGoutin, P., P. Logette, J. M. Rouvaen, and E. Bridoux. "Système de traitement acousto-optique de signaux numériques." Journal de Physique III 1, no. 10 (October 1991): 1695–710. http://dx.doi.org/10.1051/jp3:1991223.
Full textDesgres, Manon, and Philippe Menasché. "Les cellules souches pluripotentes dans le traitement de l’insuffisance cardiaque." médecine/sciences 35, no. 10 (October 2019): 771–78. http://dx.doi.org/10.1051/medsci/2019155.
Full textKRONLAND, R., A. GROSS MANN, and B. ESCUDIE. "TRAITEMENT DES SIGNAUX ACOUSTIQUES ASYMPTOTIQUES PAR REPRÉSENTATION TEMPS-ÉCHELLE." Le Journal de Physique IV 02, no. C1 (April 1992): C1–1117—C1–1120. http://dx.doi.org/10.1051/jp4:19921246.
Full textMalti, Rachid, and Martial Leyney. "Do Ré Mi Fa Sol La S T M 32." J3eA 22 (2023): 1037. http://dx.doi.org/10.1051/j3ea/20231037.
Full textChehami, L., N. Smagin, J. Assaad, P. Campistron, F. Jenot, and E. Moulin. "De la théorie à la pratique dans l’enseignement du Traitement du Signal : Initiation à la recherche." J3eA 21 (2022): 2042. http://dx.doi.org/10.1051/j3ea/20222042.
Full textGaborit, M., and D. Massotte. "Associations entre récepteurs opioïdes : vers de nouvelles stratégies thérapeutiques pour la douleur et l’addiction." Douleur et Analgésie 32, no. 2 (June 2019): 111–12. http://dx.doi.org/10.3166/dea-2019-0057.
Full textReiss and Reiss. "Die Rhinitis im Alter." Praxis 91, no. 9 (February 1, 2002): 353–58. http://dx.doi.org/10.1024/0369-8394.91.9.353.
Full textSoyer, Yves, and Sylvie Legris. "Le SAHOS du sénior." Revue d'Orthopédie Dento-Faciale 54, no. 1 (February 2020): 97–112. http://dx.doi.org/10.1051/odf/2020010.
Full textDissertations / Theses on the topic "Traitement des signaux physiologiques"
Chantaf, Samer. "Biométrie par signaux physiologiques." Thesis, Paris Est, 2011. http://www.theses.fr/2011PEST1009/document.
Full textIn general, biometrics aims to identify individuals from their biological characteristics. This practice tends to replace the traditional methods of identity verification of individuals, among others, passwords and security codes. Nowadays, biometrics found wide application and research of new biometric methods is topical. The objective of this thesis is to develop and evaluate new biometric methods based on tamper-proof characteristics that can not be changed voluntarily. In this context, the physiological signals are considered. Thus, we proposed three methods of biometric identification. The first method uses the electrocardiogram (ECG) as individual signature, while the second is based on the use of surface electromyography signals (EMG) in response to a force of fixed intensity. The final technique explored, uses the motor responses obtained after electrical stimulation. These methods consist first to acquire the physiological signals in healthy people. These signals are modeled by wavelets networks to extract relevant features. The identification phase is performed automatically by neural networks. According to the results obtained from experiments performed, the proposed methods lead to interesting performance identification. The first method, using the electro-cardiographic signal, achieves a recognition rate of 92%, while the identification by EMG signals, in response to a force of a fixed intensity, allows a correct identification of 80 %. Finally, a performance of 95% is obtained by identification by motor response. For these three techniques explored, the robustness to noise ratio was studied
Ranta, Radu. "Traitement et analyse de signaux sonores physiologiques : application à la phonoentérographie." Phd thesis, Institut National Polytechnique de Lorraine - INPL, 2003. http://tel.archives-ouvertes.fr/tel-00005906.
Full textLouis-Dorr, Valérie. "Contribution au traitement et à l'analyse de signaux issus de processus physiologiques." Habilitation à diriger des recherches, Institut National Polytechnique de Lorraine - INPL, 2008. http://tel.archives-ouvertes.fr/tel-00345985.
Full textBuard, Benjamin. "Contribution à la compréhension des signaux de fluxmétrie laser Doppler : traitement des signaux et interprétations physiologiques." Phd thesis, Université d'Angers, 2010. http://tel.archives-ouvertes.fr/tel-00584166.
Full textAassif, El Houcein. "Analyse de signaux physiologiques. Evaluation et implementation de methodes de traitement automatique de signaux de manometrie digestive." Rennes 1, 1990. http://www.theses.fr/1990REN10142.
Full textBruno, Stéphane. "Modélisation de signaux physiologiques en vue d'une classification automatique du sommeil." Rennes 1, 2006. http://www.theses.fr/2006REN1S002.
Full textBruno, Stéphane Scalart Pascal. "Modélisation de signaux physiologiques en vue d'une classification automatique du sommeil." [S.l.] : [s.n.], 2006. ftp://ftp.irisa.fr/techreports/theses/2006/bruno.pdf.
Full textTruong, Charles. "Détection de ruptures multiples – application aux signaux physiologiques." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLN030/document.
Full textThis work addresses the problem of detecting multiple change points in (univariate or multivariate) physiological signals. Well-known examples of such signals include electrocardiogram (ECG), electroencephalogram (EEG), inertial measurements (acceleration, angular velocities, etc.). The objective of this thesis is to provide change point detection algorithms that (i) can handle long signals, (ii) can be applied on a wide range of real-world scenarios, and (iii) can incorporate the knowledge of medical experts. In particular, a greater emphasis is placed on fully automatic procedures which can be used in daily clinical practice. To that end, robust detection methods as well as supervised calibration strategies are described, and a documented open-source Python package is released.The first contribution of this thesis is a sub-optimal change point detection algorithm that can accommodate time complexity constraints while retaining most of the robustness of optimal procedures. This algorithm is sequential and alternates between the two following steps: a change point is estimated then its contribution to the signal is projected out. In the context of mean-shifts, asymptotic consistency of estimated change points is obtained. We prove that this greedy strategy can easily be extended to other types of changes, by using reproducing kernel Hilbert spaces. Thanks this novel approach, physiological signals can be handled without making assumption of the generative model of the data. Experiments on real-world signals show that those approaches are more accurate than standard sub-optimal algorithms and faster than optimal algorithms.The second contribution of this thesis consists in two supervised algorithms for automatic calibration. Both rely on labeled examples, which in our context, consist in segmented signals. The first approach learns the smoothing parameter for the penalized detection of an unknown number of changes. The second procedure learns a non-parametric transformation of the representation space, that improves detection performance. Both supervised procedures yield finely tuned detection algorithms that are able to replicate the segmentation strategy of an expert. Results show that those supervised algorithms outperform unsupervised algorithms, especially in the case of physiological signals, where the notion of change heavily depends on the physiological phenomenon of interest.All algorithmic contributions of this thesis can be found in ``ruptures'', an open-source Python library, available online. Thoroughly documented, ``ruptures'' also comes with a consistent interface for all methods
Escola, Henri. "Analyse et traitement de signaux physiologiques pour la mesure de l'action de substances pharmacologiques." Compiègne, 1993. http://www.theses.fr/1993COMPD593.
Full textMoreau, Thomas. "Représentations Convolutives Parcimonieuses -- application aux signaux physiologiques et interpétabilité de l'apprentissage profond." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLN054/document.
Full textConvolutional representations extract recurrent patterns which lead to the discovery of local structures in a set of signals. They are well suited to analyze physiological signals which requires interpretable representations in order to understand the relevant information. Moreover, these representations can be linked to deep learning models, as a way to bring interpretability intheir internal representations. In this disserta tion, we describe recent advances on both computational and theoretical aspects of these models.First, we show that the Singular Spectrum Analysis can be used to compute convolutional representations. This representation is dense and we describe an automatized procedure to improve its interpretability. Also, we propose an asynchronous algorithm, called DICOD, based on greedy coordinate descent, to solve convolutional sparse coding for long signals. Our algorithm has super-linear acceleration.In a second part, we focus on the link between representations and neural networks. An extra training step for deep learning, called post-training, is introduced to boost the performances of the trained network by making sure the last layer is optimal. Then, we study the mechanisms which allow to accelerate sparse coding algorithms with neural networks. We show that it is linked to afactorization of the Gram matrix of the dictionary.Finally, we illustrate the relevance of convolutional representations for physiological signals. Convolutional dictionary learning is used to summarize human walk signals and Singular Spectrum Analysis is used to remove the gaze movement in young infant’s oculometric recordings
Books on the topic "Traitement des signaux physiologiques"
Gargour, Christian Samir. Traitement numérique des signaux. 2nd ed. Québec: Presses de l'Université du Québec, 2006.
Find full textGargour, Christian Samir. Traitement numérique des signaux. 3rd ed. Québec: Presses de l'Université du Québec, 2013.
Find full textCoulon, Frédéric de. Théorie et traitement des signaux. Lausanne: Presses Polytechniques Romandes, 1990.
Find full textCoulon, Fre de ric de. The orie et traitement des signaux. 4th ed. Lausanne: Presses polytechniques et universitaires romandes, 1998.
Find full textBrémaud, Pierre. Signaux aléatoires: Pour le traitement du signal et les communications. Paris: Editions Marketing, 1993.
Find full textCottet, Francis. Traitement des signaux et acquisition de données: Cours et exercices corrigés. 3rd ed. Paris: Dunod, 2009.
Find full textJean-François, Pautex, and Schweitzer Patrick, eds. Analyse et traitement des signaux: Méthodes et applications au son et à l'image : cours et exercices corrigés. 2nd ed. Paris: Dunod, 2008.
Find full textHervé, François. Les drogues et dépendances en 200 questions. Paris: Éditions de Vecchi, 2002.
Find full textWagman, Brenda. Le tabagisme pendant la grossesse: Un choix difficile. Ottawa, Ont: Santé Canada, 1995.
Find full textBook chapters on the topic "Traitement des signaux physiologiques"
Martaj, Nadia, and Mohand Mokhtari. "Traitement numérique des signaux aléatoires." In Apprendre et maîtriser LabVIEW par ses applications, 835–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45335-9_22.
Full text"Bibliographie." In Analyse et traitement des signaux, 311–12. Dunod, 2009. http://dx.doi.org/10.3917/dunod.tisse.2009.01.0311.
Full textBellanger, Maurice. "Chapitre 9. Signaux complexes filtres de quadrature interpolateurs." In Traitement numérique du signal, 275–99. Dunod, 2012. http://dx.doi.org/10.3917/dunod.bella.2012.01.0275.
Full text"Bibliographie." In Traitement des signaux et acquisition de données, 419–20. Dunod, 2020. http://dx.doi.org/10.3917/dunod.cotte.2020.01.0419.
Full textReboursière, Loïc. "TRAITEMENT SONORE POLYPHONIQUE ET CONTRÔLE GESTUEL INSTRUMENTAL: RETOUR SUR UNE MISE EN ŒUVRE PRATIQUE DE LA GUITARE HEXAPHONIQUE." In Quand la guitare [s']électrise!, 141–78. Sorbonne Université Presses, 2022. http://dx.doi.org/10.70551/dyyg5717.
Full textBalasse, Marie, Matthieu Keller, Adrian Balasescu, Anne Tresset, and Philippe Chemineau. "Cycle de reproduction des ovins et rythme saisonnier de l’élevage : un schéma plurimillénaire bouleversé par la recherche agronomique." In Regards croisés: quand les sciences archéologiques rencontrent l'innovation, 25–50. Editions des archives contemporaines, 2017. http://dx.doi.org/10.17184/eac.3789.
Full textJacques, Denis, and Nicolas Zdanowicz. "Chapitre 4. Les bases anatomiques et physiologiques du système limbique et implication dans le traitement du bégaiement." In Neuropsychologie du bégaiement, 53–57. Mardaga, 2018. http://dx.doi.org/10.3917/mard.piera.2018.01.0053.
Full textJacques, Denis, and Nicolas Zdanowicz. "Chapitre 4. Les bases anatomiques et physiologiques du système limbique et implication dans le traitement du bégaiement." In Neuropsychologie du bégaiement, 53–57. Mardaga, 2018. http://dx.doi.org/10.3917/mard.piera.2010.01.0053.
Full textCardin, P., J. Ducreux, P. Eyrolles, and P. Jeannin. "Surcouf: Un Systeme Completement Automatise pour l'Archivage Structure et le Traitement Numerique des Signaux d'Inspection des Tubes de Generateurs de Vapeur Nucleaires." In Non-Destructive Testing, 2624–31. Elsevier, 1988. http://dx.doi.org/10.1016/b978-0-08-036221-2.50054-1.
Full textConference papers on the topic "Traitement des signaux physiologiques"
Courtemanche, François, Aude Dufresne, and Esma Aïmeur. "Un Outil d'Évaluation de l'Interaction intégrant l'Oculométrie et les Signaux Physiologiques." In the 2012 Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2652574.2653406.
Full textDechy, N., P. Jouniaux, and D. Hadida. "Détection, pertinence et amplification des signaux faibles dans le traitement du retour d’expérience." In Congrès Lambda Mu 19 de Maîtrise des Risques et Sûreté de Fonctionnement, Dijon, 21-23 Octobre 2014. IMdR, 2015. http://dx.doi.org/10.4267/2042/56086.
Full textOujdad, S., S. Zafad, H. El Attar, and I. Ben Yahya. "Histiocytose langerhansienne de l’adulte : à propos d’un cas." In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206603013.
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