Auswahl der wissenschaftlichen Literatur zum Thema „Détection de la crise d’épilepsie“
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Zeitschriftenartikel zum Thema "Détection de la crise d’épilepsie"
Nouboué, Carole, Eva Diab, William Gacquer, Bertille Perin, Philippe Derambure, Julien De Jonckheere und William Szurhaj. „Détection des crises d’épilepsie basée sur l’analyse de l’électrocardiogramme (ECG) : exploration en machine learning et caractérisation des paramètres discriminants“. Revue Neurologique 180 (April 2024): S4—S5. http://dx.doi.org/10.1016/j.neurol.2024.02.006.
Der volle Inhalt der QuelleTrauffler, Adeline, Julien De Jonckheere, Marie-Dominique Lamblin, Sylvie Nguyen, Philippe Derambure, Régis Logier und William Szurhaj. „Évaluation de l’intérêt de l’enregistrement continue de la variabilité du rythme cardiaque comme outil de détection des crises d’épilepsie chez 30 enfants hospitalisés“. Neurophysiologie Clinique/Clinical Neurophysiology 47, Nr. 3 (Juni 2017): 218. http://dx.doi.org/10.1016/j.neucli.2017.05.085.
Der volle Inhalt der QuelleKoussa, S., S. Hage Chahine, A. Tohmé und M. Riachi. „Crise d’épilepsie et vardenafil“. Revue Neurologique 162, Nr. 5 (Mai 2006): 651–52. http://dx.doi.org/10.1016/s0035-3787(06)75062-7.
Der volle Inhalt der QuelleMilh, M., N. Villeneuve und B. Chabrol. „Première crise d’épilepsie sans fièvre“. Archives de Pédiatrie 18, Nr. 5 (Mai 2011): H20—H21. http://dx.doi.org/10.1016/s0929-693x(11)71079-x.
Der volle Inhalt der QuelleGuiguen, Claude, Sylviane Chevrier und Dominique Chabasse. „Une crise d’épilepsie d’origine parasitaire“. Revue Francophone des Laboratoires 2020, Nr. 520 (März 2020): 71–72. http://dx.doi.org/10.1016/s1773-035x(20)30102-7.
Der volle Inhalt der QuelleTijani, M., O. El Menaoui, S. M. Bouya, J. El Fenni, T. Amil und M. Edderai. „Crise d’épilepsie temporale chez un adolescent“. Feuillets de Radiologie 56, Nr. 6 (Dezember 2016): 408–11. http://dx.doi.org/10.1016/j.frad.2016.09.001.
Der volle Inhalt der QuelleTijani, M., O. El Menaoui, S. M. Bouya, J. El Fenni, T. Amil und M. Edderai. „Crise d’épilepsie temporale chez un adolescent“. Feuillets de Radiologie 56, Nr. 6 (Dezember 2016): 426. http://dx.doi.org/10.1016/j.frad.2016.09.002.
Der volle Inhalt der QuelleBouthour, Walid, Philippe Ryvlin und Fabienne Picard. „Première crise d’épilepsie : prise en charge pratique“. Revue Médicale Suisse 15, Nr. 648 (2019): 853–56. http://dx.doi.org/10.53738/revmed.2019.15.648.0853.
Der volle Inhalt der QuelleNguyen-Michel, Vi-Huong, Ovidio Solano, Smaranda Leu-Semenescu, Sophie Dupont, Vincent Navarro, Claude Adam, Olivier Pallanca und Isabelle Arnulf. „Mouvements en sommeil paradoxal : crise d’épilepsie ou trouble comportemental ?“ Médecine du Sommeil 13, Nr. 1 (Januar 2016): 5. http://dx.doi.org/10.1016/j.msom.2016.01.011.
Der volle Inhalt der QuelleDerouich, I., N. Chtaou, O. Messouak und M. F. Belahsen. „Crise d’épilepsie révélant un AVC ischémique mésencéphalo-thalamique paramédiane“. Revue Neurologique 169 (April 2013): A64. http://dx.doi.org/10.1016/j.neurol.2013.01.146.
Der volle Inhalt der QuelleDissertationen zum Thema "Détection de la crise d’épilepsie"
Ech-Choudany, Youssef. „Analyse des signaux non-stationnaires à l’aide d’une nouvelle démarche de classification : application à l’identification de l’endommagement de matériaux composites par émission acoustique et à la détection de la crise d’épilepsie par EEG“. Thesis, Reims, 2018. http://www.theses.fr/2018REIMS020/document.
Der volle Inhalt der QuelleThe aims of this thesis consists in developing a method of Non-destructive testing (NDT) by Acoustic Emissions (AE). Indeed, during the process of degradation of composite materials several mechanisms of damage in the microscopic scale can intervene according to the nature of the composite and its constituents (fibers and epoxy). AE allows to analyze and to identify more in detail these damages mechanism, by means of a classification. This method of classification will be based on the use of kernel methods in the time - frequency domain. It will be a question of determining one adapted kernel in the proposed problem. This work will so allow to analyze and to classify mechanisms without using descriptors
Gheryani, Mostafa. „Epileptic seizure and anomaly detection in internet of medical things“. Electronic Thesis or Diss., Université Paris Cité, 2021. http://www.theses.fr/2021UNIP5211.
Der volle Inhalt der QuelleThe goal of my PhD is to investigate the characteristics of inertial and physiological signals via IoMT systems generated by epileptic seizure and to develop an algorithm to detect the seizure. The focus of the algorithms lies in nocturnal seizures where the risk of SUDEP is high because the patients are unsupervised while sleeping. In chapter III analysis we propose an IoMT platform for seizure detection. The proposed framework approach starts by deriving the RMS for ACM and Gyro, followed by the normalization of whole signals (ACM, Gyro and EMG) in the same range, and aggregate all into one signal. The chart’s control with its upper and lower limits are derived in the training phase and used to detect abnormal seizures and to raise an alarm. In chapter IV Our proposed algorithm is based on deriving instantaneous power measurements in a sliding window containing 3D ACM or 3D Gyro or EMG. The residual between forecasted and measured power is used as input for the detection algorithm based on Shewhart Control Chart (SCC). When the difference between forecasted and derived power exceeds chart limits [lower, upper] for several consecutive slots, an alarm is raised. Our proposed approach provides low FAR (4%) and sensitivity of 97%. In Chapter V our proposed method starts by reducing the dimension of collected data using RMS to derive one signal from 3D ACM and one signal from 3D Gyro. With the derived 3 collected signals (ACM, Gyro and EMG), we apply VTP to derive one signal used as input for anomaly detection mechanism. The robust version of z-score is applied on the resulting product signal to detect deviations associated with seizures before raising an alarm. Our experimental results show that our proposed approach is robust against nocturnal movements and achieves a high level of detection accuracy with low false alarm rate. Afterward, we compare the performance of our approach with the zero-crossings method calculated from sEMG. Our approach shows that the detection accuracy using VTP outperforms zero-crossing count over an overlapping sliding window of 1 second. In chapter VI, we propose an approach using the IoMT devices to acquire EMG, ACM and Gyro data and to transmit the measurements to a LPU for processing. When the LPU detects abnormal changes in the measurements, it raises an alarm for assistant. Our proposed approach uses SVM with reject option to distinguish seizures from normal daily life activity. Features presenting physiological changes of muscular activity and inertial data were extracted in LPU and are used as input for the detection algorithm. The reject option in SVM is used to enhance the reliability of the monitoring system and to reduce FAR, where the user is notified and can discard the alarm in his smartphone in the absence of seizure. The conducted experiments proved that our proposed approach could achieve a good accuracy with only 4% of false alarm rate. Finally, since we are using IoMT sensors, which are susceptible to data security issues. We proposed a solution to prevent Man in the Middle (MitM) attack, which can identify healthcare emergencies of monitored patients and replay normal physiological data to prevent the system from raising an alarm. In this chapter, we propose a framework to prevent a MitM from disrupting the operations and prohibiting the remote healthcare monitoring system. To reduce energy consumption for normal data transmission, and preserve the privacy of health data, our framework transmits a smaller size signature derived from acquired data with message authentication code, where the key is derived from Received Signal Strength Indication (RSSI). Our experimental results for emergency detection show that our approach can achieve a high detection accuracy with a low false alarm rate of 3%
Delavallade, Thomas. „Evaluation des risques de crise, appliquée à la détection des conflits armés intra-étatiques“. Phd thesis, Université Pierre et Marie Curie - Paris VI, 2007. http://tel.archives-ouvertes.fr/tel-00230663.
Der volle Inhalt der QuelleSi de nombreuses cellules de veille ont été mises en place, tant au niveau de l'entreprise, qu'au niveau des institutions nationales et internationales, la quantité d'information potentiellement pertinente pour un sujet donné est parfois telle que la mise à disposition d'outils automatisant tout ou partie du traitement de cette information répond à un besoin réel, sinon à une nécessité.
Dans cette optique, dans cette thèse, nous proposons un système générique d'aide à l'anticipation de crises. Notre objectif est de fournir une synthèse d'une situation donnée, d'un point de vue structurel et non événementiel, via l'identification des crises potentielles ainsi que des principaux facteurs de risque associés. Le système que nous proposons repose sur l'apprentissage supervisé de règles de décision floues.
La qualité des données d'apprentissage étant problématique dans de nombreuses applications, nous proposons, dans nos travaux, une étude approfondie sur la chaîne de prétraitement, et en particulier sur le traitement des valeurs manquantes et sur la sélection d'attributs. Nous avons également mis l'accent sur l'évaluation et la sélection de modèles afin de pouvoir adapter les modèles de détection au problème à traiter, ainsi qu'aux besoins de l'utilisateur final.
La synthèse des résultats fournis par notre système étant destiné à des utilisateurs en charge de la veille stratégique, des outils d'aide au raisonnement et à la compréhension de cette synthèse sont également proposés.
Pour juger de l'intérêt de notre méthodologie nous détaillons son application à un problème concret : la détection des conflits armés intra-étatiques.
Velez-Perez, Hugo. „Localisation et caractérisation du déroulement de la crise d'épilepsie temporale“. Phd thesis, Institut National Polytechnique de Lorraine - INPL, 2010. http://tel.archives-ouvertes.fr/tel-00538573.
Der volle Inhalt der QuelleVélez-Pérez, Hugo Abraham. „Localisation et caractérisation du déroulement de la crise d'épilepsie temporale“. Thesis, Vandoeuvre-les-Nancy, INPL, 2010. http://www.theses.fr/2010INPL051N/document.
Der volle Inhalt der QuelleThe electroencephalogram (EEG) is the essential clinical examination for the diagnosis, the definition of brain structures responsible of seizures and epilepsy classification. However, the signals collected on the surface of the scalp are very disturbed by artifacts and noise, which complicates the clinical interpretation or the automatic analysis. This work aims to extract descriptors of surface EEG signals that can lead to the spatio-temporal characterization of the temporal lobe seizures. The inter-channel relationship estimators applied are parametric linear methods, such as cross-spectrum (S), coherence (C), Directed Transfer Function (DTF) or Partial Directed Coherence (PDC). Relations are estimated on real EEG recordings containing a crisis. The detection of strong inter-channel relationships is exploited in order to lateralize and to characterize seizures. All methods are applied to raw and preprocessed EEG signals. A preprocessing step, based on the separation and classification of sources and denoising is implemented to remove artifacts and noise with a minimal loss of information by reducing the risk of false detections of inter-signal connectivity relationships. The results on 51 crises show that a signal preprocessing improves the detection and the rate of correct lateralization. A coupling method between S and directivity parametric methods (PDC and DTF) improves the characterization of crises
Moutsinga, Ghislain de Saint-Val. „Le crédit et le rôle du banquier dans la prévention des difficultés des entreprises“. Thesis, Toulon, 2015. http://www.theses.fr/2015TOUL0099.
Der volle Inhalt der QuelleThe purpose of this thesis is to study the relationship between financial integration, political openness and growth in developing countries. In fact, political reforms and economic liberalization was the slogan of the international financial institutions which conditioned the granting of financial aid to the implementation of certain reforms in favor of democracy and more respect of human rights in addition to more financial integration. Our empirical investigation covers a sample of 108 developing countries between 1984 and 2008 and uses both static and dynamic panel data estimation in addition to the new causality test in heterogeneous panel. Our results show that financial liberalization positively impact growth directly and through indirect channel like Investment, trade and macroeconomic stability. It also favors financial development and promotes human capital. Even though, democracy doesn’t directly influence growth, it has an indirect positive effect on it through favoring international trade in addition to financial and human capital development. Otherwise, political instability negatively affects growth directly but also indirectly through decreasing investment and increasing inflation. Finally, our results suggest the existence of a bidirectional relationship between financial integration and democracy. In the other side, the relationship between financial integration and political stability is more specific and depend upon regionals characteristics of the country