0000000000809254

AUTHOR

Sabir Jacquir

showing 46 related works from this author

New Approach of Controlling Cardiac Alternans

2018

The alternans of the cardiac action potential duration is a pathological rhythm. It is considered to be relating to the onset of ventricular fibrillation and sudden cardiac death. It is well known that, the predictive control is among the control methods that use the chaos to stabilize the unstable fixed point. Firstly, we show that alternans (or period-2 orbit) can be suppressed temporally by the predictive control of the periodic state of the system. Secondly, we determine an estimation of the size of a restricted attraction's basin of the unstable equilibrium point representing the unstable regular rhythm stabilized by the control. This result allows the application of predictive control…

0301 basic medicineQuantitative Biology::Tissues and Organs[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]Beat (acoustics)[MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingFixed point01 natural sciences010305 fluids & plasmasSudden cardiac death03 medical and health sciencesRhythmControl theory0103 physical sciencesmedicineDiscrete Mathematics and CombinatoricsComputingMilieux_MISCELLANEOUSMathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingApplied MathematicsCardiac action potentialmedicine.diseaseModel predictive control030104 developmental biology[NLIN.NLIN-CD] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]Ventricular fibrillation[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingStationary state
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Automatic Processing Scheme for Low Laser Invasiveness Electro Optical Frequency Mapping mode

2016

International audience; Electro optical techniques are efficient backside contactless techniques usually used for design debug and defect location in modern VLSI. Unfortunately, the signal to noise ratio is quite low and depends on laser power with potential device stress due to long acquisition time or high laser power, especially in up to date technologies. Under these conditions, to maintain a good signal or image quality, specific signal or image processing techniques can be implemented. In this paper, we proposed a new spatial filtering by stationary wavelets and contrast enhancement which allows the use of low laser power and short acquisition time in image mode.

Contrast enhancementImage qualityComputer science[SPI] Engineering Sciences [physics]Wavelet shrinkageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEOFMImage processing02 engineering and technology01 natural sciencesSignallaw.invention[SPI]Engineering Sciences [physics]Image modeSignal-to-noise ratiolaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringElectronic engineering[ SPI ] Engineering Sciences [physics]EOPLaser power scalingStationary Wavelet Transform010302 applied physicsSpatial filter020208 electrical & electronic engineeringLaser[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsFiltering
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Frequency mapping in dynamic light emission with wavelet transform

2013

International audience; Dynamic photon emission microscopy is an e cient tool to analyse today's integrated circuit. Nevertheless, the reduction of transistor's dimensions leads to more complex acquisitions where many spots can be seen. A frequency characterization of the whole acquired area can help to have a better understanding of it. With that purpose in mind, a new methodology to draw frequency mapping of dynamic light emission acquisition is reported. It is fully automated and based on wavelet transform and autocorrelation function. Regarding the possible use in an industrial context, the suggested method can help to localize abnormal emission activity and it gives some perspectives o…

Engineering[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsComputerApplications_COMPUTERSINOTHERSYSTEMSContext (language use)02 engineering and technologyIntegrated circuit[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural scienceslaw.inventionReduction (complexity)[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processinglaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringComputer visionElectrical and Electronic Engineering[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsSafety Risk Reliability and Quality[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing010302 applied physicsbusiness.industryTransistorAutocorrelationWavelet transformCondensed Matter PhysicsAtomic and Molecular Physics and Optics[SPI.TRON] Engineering Sciences [physics]/ElectronicsSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsCharacterization (materials science)[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics020201 artificial intelligence & image processingLight emission[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Automatic emission spots identification in static and dynamic imaging by research of local maxima.

2014

International audience

[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.TRON] Engineering Sciences [physics]/ElectronicsComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics
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Spatial correction in dynamic photon emission by affine transformation matrix estimation

2014

International audience; Photon emission microscopy and Time Resolved Imaging have proved their efficiency for defect localization on VLSI. A common process to find defect candidate locations is to draw a comparison between acquisitions on a normally working device and a faulty one. In order to be accurate and meaningful, this method requires that the acquisition scene remains the same between the two parts. In practice, it can be difficult to set. In this paper, a method to correct position by affine matrix transformation is suggested. It is based on image features detection, description and matching and affine transformation estimation.

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingMatching (graph theory)Computer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingPosition (vector)020204 information systems0202 electrical engineering electronic engineering information engineeringComputer vision[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingVery-large-scale integrationHarris affine region detectorbusiness.industryProcess (computing)Affine shape adaptationTransformation (function)020201 artificial intelligence & image processing[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsArtificial intelligenceAffine transformationbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Recurrence quantification analysis as a tool for complex fractionated atrial electrogram discrimination

2012

International audience; Atrial fibrillation is the most encountered pathology of the heart rate. The reasons of its occurrence and its particular characteristics remain unknown, resulting from complex phenomena interaction. From these interactions emerges Complex Fractionated Atrial Electrograms (CFAE) which are useful for the ablation procedure. This study presents a method based on nonlinear data analysis, the Recurrence Quantification Analysis (RQA) applied on intracardiac atrial electrograms to detect CFAE particularities. The results obtained on areas previously tagged by a cardilogist show a good sensitivity to CFAE. Combination of RQA features offers a larger discrimination potential…

medicine.medical_specialty[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]0206 medical engineeringTreatment outcome[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technology030204 cardiovascular system & hematologySensitivity and SpecificityIntracardiac injection03 medical and health sciences0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemInternal medicineAtrial FibrillationmedicineHumansDiagnosis Computer-AssistedRetrospective Studiesmedicine.diagnostic_testbusiness.industryBody Surface Potential MappingReproducibility of ResultsAtrial fibrillation[ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemmedicine.disease020601 biomedical engineeringTreatment OutcomeSurgery Computer-AssistedRecurrence quantification analysis[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]Cardiologybusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingElectrocardiographyAlgorithms2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Multisite field potential recordings and analysis of the impulse propagation pattern in cardiac cells culture

2007

To provide further insights into the impulse propagation between cardiac myocytes, we performed multiparametric studies of excitation spread with cellular resolution in confluent monolayers of cultured cardiomyocytes (CM). Simultaneous paired intracellular recordings of action potentials in two individual CM revealed slight periodic spontaneous advances/delays in the interspike time lag. Multisite field potential recordings performed with microelectrode arrays (MEA) confirmed random and iterative cycle-to-cycle changes in the direction of excitation spread. These local spontaneous variations in the cardiac impulse propagation pathways may be a safety process protecting against microscopical…

0303 health sciencesMaterials sciencemedicine.diagnostic_test[SDV]Life Sciences [q-bio]Propagation patternTime lagDiscontinuous conduction030204 cardiovascular system & hematologyImpulse (physics)03 medical and health sciencesMicroelectrode[SPI]Engineering Sciences [physics]0302 clinical medicineCellular resolutionmedicineMyocyte[NLIN]Nonlinear Sciences [physics]ElectrocardiographyComputingMilieux_MISCELLANEOUS030304 developmental biologyBiomedical engineering
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Mise en œuvre d’une chaîne d’acquisition et de traitement du signal : Application à la mesure du rythme cardiaque en licence 1ère année

2014

International audience; Dans le cadre de cet article, nous présentons un projet de travaux pratiques mis en place dans le cadre d’un module intitulé « Sciences et Traitement de l’Information ». L’objectif pédagogique de ce module est de donner aux étudiants de 1ère année de Licence un aperçu applicatif de l’électronique, du traitement du signal et de l’informatique. Cette découverte se fait au travers de la réalisation d’un système d’acquisition et de traitement, ce projet étant découpé en fonctions de base qui sont étudiées d’abord séparément avant d’être regroupées pour aboutir à une application réelle. La mise en place de ce module date de la rentrée 2012-2013 et le retour d’expérience m…

[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics
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Cardiac arrhythmia induced by hypothermia in a cardiac model in vitro

2013

The neurological damage after cardiac arrest (CA) constitutes a big challenge of hospital discharge since years. The therapeutic hypothermia therapy (34°C-32°C) has shown its benefit to reduce cerebral oxygen demand and improve neurological outcomes after the cardiac arrest. Despite the fact that induced hypothermia after CA has been shown to increase the hospital survival rate, it can have many adverse effects, among which the cardiac arrhythmia generation represents an important part (up to 34%, according different clinical studies). Compared to studies in vivo, cardiac culture in vitro provides a better spatial resolution at cellular level, which could bring some insights of the mechanis…

medicine.medical_specialtybusiness.industryCardiac arrhythmiaHypothermiaIn vitroNeurological DamageIn vivoInternal medicineAnesthesiacardiovascular systemCardiologymedicineHospital dischargemedicine.symptomCardiology and Cardiovascular MedicineAdverse effectbusinessSurvival rateJournal of Electrocardiology
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Experimental study of electrical FitzHugh-Nagumo neurons with modified excitability

2006

International audience; We present an electronical circuit modelling a FitzHugh-Nagumo neuron with a modified excitability. To characterize this basic cell, the bifurcation curves between stability with excitation threshold, bistability and oscillations are investigated. An electrical circuit is then proposed to realize a unidirectional coupling between two cells, mimicking an inter-neuron synaptic coupling. In such a master-slave configuration, we show experimentally how the coupling strength controls the dynamics of the slave neuron, leading to frequency locking, chaotic behavior and synchronization. These phenomena are then studied by phase map analysis. The architecture of a possible ne…

BistabilityComputer scienceCognitive NeuroscienceModels Neurological[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]ChaoticPhase mapAction PotentialsSynchronizationTopologyElectronic neuronsSynaptic Transmission01 natural sciencesSynchronization010305 fluids & plasmaslaw.inventionBiological ClocksArtificial IntelligencelawControl theoryOscillometry0103 physical sciencesmedicineAnimals010306 general physicsElectronic circuitNeuronsArtificial neural networkQuantitative Biology::Neurons and Cognition[SCCO.NEUR]Cognitive science/Neuroscience[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsCoupling (electronics)medicine.anatomical_structureNonlinear DynamicsElectrical network[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SCCO.NEUR ] Cognitive science/NeuroscienceChaosBifurcationSynaptic couplingNeural Networks ComputerNeuron
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Spiral wave induced numerically using electrical stimulation and comparison with experimental results.

2010

Experiments in vitro on a Microelectrode Array (MEA) platform show that electrical stimulation can provoke the generation of spiral waves in cardiac tissue. Nevertheless, the conditions leading to this artificial fibrillation state remain unclear. In order to have a better understanding of this phenomenon, a numerical simulation study has been conducted. The results obtained with a two-dimensional FitzHugh-Nagumo model proved that it is possible to create spiral waves by adding a stimulation current under certain conditions, which are made explicit.

Materials scienceBiomedical EngineeringAction PotentialsStimulationAnimalsComputer SimulationElectrodesCells CulturedModels StatisticalComputer simulationMyocardiumModels CardiovascularArrhythmias CardiacHeartMultielectrode arrayMechanicsElectric StimulationRatsElectrophysiologyMicroelectrodeAnimals NewbornSpiral waveElectrodeCurrent (fluid)Spiral (railway)AlgorithmsBiomedical engineeringAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Identification of Synaptic Integration Mode in CA3 Pyramidal Neuron Model

2019

International audience; A morphologically realistic and anisotropic model of CA3 pyramidal neuron was developed to determine the synaptic integration modes the neuron is able to perform. Linearity and nonlinearity were identified in different synaptic locations with varying active mechanisms such as the presence of ionic channels in the dendritic arbor and the types of receptors in the synapse. Quantification of synaptic integration was performed using paired-pulse stimulation protocol and subthreshold input/output (sI/O) transformation. Results show that the mode of synaptic integration is location-dependent while the linearity or nonlinearity in the integration is mainly influenced by the…

MorphologyShaftsionic channelsResistancereceptorstwo-layer networksynaptic integration modesimple CA3 pyramidal neuronSynapselinear integrationdendritic arbormedicinesynaptic locationsCA3 pyramidal neuron model[SDV.IB] Life Sciences [q-bio]/BioengineeringNeuronsbiomembrane transportcomputational powerPhysicssubthreshold input-output transformationSynaptic integrationSubthreshold conductionmorphologically realistic modelMode (statistics)Linearitypaired-pulse stimulation protocolactive channelsanisotropic modelNonlinear systemmedicine.anatomical_structurenervous systemsublinear integrationCa3 pyramidal neuronbioelectric phenomena[SDV.IB]Life Sciences [q-bio]/BioengineeringAction potentialsNeuronneurophysiologysupralinear integrationNeuroscienceNeckProtocols2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)
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Reaction-Diffusion Network For Geometric Multiscale High Speed Image Processing

2010

International audience; In the framework of heavy mid-level processing for high speed imaging, a nonlinear bi-dimensional network is proposed, allowing the implementation of active curve algorithms. Usually this efficient type of algorithm is prohibitive for real-time image processing due to its calculus charge and the inadequate structure for the use of serial or parallel architectures. Another kind of implementation philosophy is proposed here, by considering the active curve generated by a propagation phenomenon inspired from biological modeling. A programmable nonlinear reaction-diffusion system is proposed under front control and technological constraints. Geometric multiscale processin…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer scienceNonlinear signal processingImage processing02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingType (model theory)Multiscale geometryComputational scienceImage analysisNonlinear signal processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingReaction–diffusion systemDigital image processing0202 electrical engineering electronic engineering information engineeringComputer visionStructure (mathematical logic)Biological modelingbusiness.industry020208 electrical & electronic engineeringNonlinear systemSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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A hybrid stimulation strategy for suppression of spiral waves in cardiac tissue

2011

International audience; Atrial fibrillation (AF) is the most common cardiac arrhythmia whose mechanisms are thought to be mainly due to the self perpetuation of spiral waves (SW). To date, available treatment strategies (antiarrhythmic drugs, radiofrequency ablation of the substrate, electrical cardioversion) to restore and to maintain a normal sinus rhythm have limitations and are associated with AF recurrences. The aim of this study was to assess a way of suppressing SW by applying multifocal electrical stimulations in a simulated cardiac tissue using a 2D FitzHugh-Nagumo model specially convenient for AF investigations. We identified stimulation parameters for successful termination of S…

medicine.medical_specialtyRadiofrequency ablationGeneral Mathematics[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]General Physics and AstronomyStimulation030204 cardiovascular system & hematology01 natural scienceslaw.invention03 medical and health sciences0302 clinical medicine[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP][SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemlawInternal medicine0103 physical sciencesMedicine[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]010306 general physicsSpiralbusiness.industryApplied MathematicsSodium channelCardiac arrhythmiaStatistical and Nonlinear PhysicsAtrial fibrillation[ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemmedicine.diseaseElectrical stimulationsElectrical cardioversion[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]Cardiologybusiness
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Complexity analysis of experimental cardiac arrhythmia

2014

International audience; To study the cardiac arrhythmia, an in vitro experimental model and Multielectrodes Array (MEA) are used. This platform serves as an intermediary of the electrical activities of cardiac cells and the signal processing / dynamics analysis. Through it the extracellular potential of cardiac cells is acquired, allowing a real-time monitoring / analyzing. Since MEA has 60 electrodes / channels dispatched in a rectangular region, it allows real-time monitoring and signal acquisition on multiple sites. The in vitro experimental model (cardiomyocytes cultures from new-born rats' heart) is directly prepared on the MEA. This carefully prepared culture has similar parameters as…

Signal processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceCardiac arrhythmiaAtrial fibrillation[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030204 cardiovascular system & hematologymedicine.disease01 natural sciencesApproximate entropySignal acquisitionSample entropy03 medical and health sciencesExtracellular potential0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesmedicinecardiovascular systemEntropy (information theory)010306 general physics[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingBiomedical engineering
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Automatic detection of P, QRS and T patterns in 12 leads ECG signal based on CWT

2016

International audience; In this paper, a new method based on the continuous wavelet transform is described in order to detect the QRS, P and T waves. QRS, P and T waves may be distinguished from noise, baseline drift or irregular heartbeats. The algorithm, described in this paper, has been evaluated using the Computers in Cardiology (CinC) Challenge 2011 database and also applied on the MIT-BIH Arrhythmia database (MITDB). The data from the CinC Challenge 2011 are standard 12 ECG leads recordings with full diagnostic bandwidth compared to the MITDB which only includes two leads for each ECG signal. Firstly, our algorithm is validated using fifty 12 leads ECG samples from the CinC collection…

[ MATH ] Mathematics [math][ INFO ] Computer Science [cs]Computer science0206 medical engineeringYouden's J statisticHealth Informatics[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyQRS[SPI]Engineering Sciences [physics]QRS complexT waveT waves0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics][INFO]Computer Science [cs][MATH]Mathematics [math]wavelet transformContinuous wavelet transformECGPdelineationECGP waveWavelet transformP020601 biomedical engineering3. Good healthSignal Processing020201 artificial intelligence & image processingEcg leadEcg signalAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Control of irregular cardiac rhythm

2018

International audience; The aim of this work is to investigate the chaos control of the one di- mensional map which modelizes the duration of the current cardiac action potential (APD) as a function of the previous one. Using OGY control method, we obtain very satisfactory numerical results to stabilize the irregular heart rhythm into the normal rhythm.

Action Potential Duration (APD)chaos[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemequilibrium point[SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemnormal rhythmirregular heart rhythm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingcontrol[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Filtering and emission area identification in the Time Resolved Imaging data

2012

Abstract Time Resolved Imaging (TRI) acquisitions allow precise timing analysis of emission spots. Up to date technologies deeply challenge their isolation by hiding the weak ones, under sizing or over sizing visually detectable emission spots and finally by jeopardizing timing resolution. We report on an algorithm based on 1 and 2D signal processing tools which automates the identification of emission sites and optimizes separation between noise and useful signal, even for weak spots surrounding strong emission areas. The application of the algorithm on several sets of data from different types of devices and their results are also discussed.

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technology01 natural sciencesImaging dataSignal[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciences0202 electrical engineering electronic engineering information engineeringIsolation (database systems)[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing010302 applied physicsSignal processingNoise (signal processing)business.industryPhoto EmissionStatic timing analysisPattern recognitionSizingIdentification (information)IC Failure AnalysisImage Thresholding[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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A mixed FES/EMG system for real time analysis of muscular fatigue

2010

International audience; In this article, we present a functional electrical stimulator allowing the extraction in real time of M-wave characteristics from resulting EMG recodings in order to quantify muscle fatigue. This system is composed of three parts. A Labview software managing the stimulation output and electromyogram (EMG) input signal, a hardware part amplifying the output and input signal and a link between the two previous parts which is made up from input/output module (NIdaq USB 6251). In order to characterize the fatigue level, the Continuous Wavelet Transform is applied yielding a local maxima detection. The fatigue is represented on a scale from 0 for a fine shaped muscle to …

Engineering0206 medical engineering02 engineering and technologyElectromyographyUSBSensitivity and SpecificitySignallaw.invention03 medical and health sciences0302 clinical medicinelawElectronic engineeringmedicineHumansMuscle SkeletalSimulationContinuous wavelet transformMuscle fatiguemedicine.diagnostic_testElectromyographybusiness.industryReproducibility of ResultsWavelet transformEquipment Design020601 biomedical engineeringElectric Stimulation[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsEquipment Failure AnalysisMaxima and minimaMuscle Fatiguemedicine.symptombusinessAlgorithmsSoftware030217 neurology & neurosurgeryMuscle ContractionMuscle contraction2010 Annual International Conference of the IEEE Engineering in Medicine and Biology
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A theoretical approach of the propagation through geometrical constraints in cardiac tissue

2007

International audience; The behaviour of impulse propagation in the presence of non-excitable scars and boundaries is a complex phenomenon and induces pathological consequences in cardiac tissue. In this article, a geometrical con¯guration is considered so that cardiac waves propagate through a thin strand, which is connected to a large mass of cells. At this interface, waves can slow down or even be blocked depending on the width of the strand. We present an analytical approach leading to determine the blockade condition, by introducing planar travelling wavefront and circular stationary wave. Eventually, the in°uence of the tissue geometry is examined on the impulse propagation velocity.

Quantitative Biology::Tissues and Organs[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]Physics::Medical PhysicsBlockade phenomenon[MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Geometry030204 cardiovascular system & hematologyImpulse (physics)Circular stationary waveStanding waveCardiac tissue.03 medical and health sciences0302 clinical medicinePlanar[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]FitzHugh–Nagumo model[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]Engineering (miscellaneous)Cardiac tissue030304 developmental biologyWavefrontPhysicsTravelling wavefront0303 health sciencesApplied Mathematics[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]Mechanics[ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system[PHYS.MPHY] Physics [physics]/Mathematical Physics [math-ph][SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemModeling and Simulation[ PHYS.MPHY ] Physics [physics]/Mathematical Physics [math-ph]
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Quantitatively characterizing drug-induced arrhythmic contractile motions of human stem cell-derived cardiomyocytes.

2018

Quantification of abnormal contractile motions of cardiac tissue has been a noteworthy challenge and significant limitation in assessing and classifying the drug-induced arrhythmias (i.e. Torsades de pointes). To overcome these challenges, researchers have taken advantage of computational image processing tools to measure contractile motion from cardiomyocytes derived from human induced pluripotent stem cells (hiPSC-CMs). However, the amplitude and frequency analysis of contractile motion waveforms doesn't produce sufficient information to objectively classify the degree of variations between two or more sets of cardiac contractile motions. In this paper, we generated contractile motion dat…

0301 basic medicineComputer scienceImage ProcessingComputational algorithmArrhythmiasRegenerative MedicineCardiovascularApplied Microbiology and Biotechnologyphase space reconstruction0302 clinical medicineComputer-AssistedImage Processing Computer-AssistedMyocytes CardiacComputingMilieux_MISCELLANEOUS[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingStem Cell Research - Induced Pluripotent Stem Cell - HumanOptical ImagingHeart DiseaseNetworking and Information Technology R&DStem cellBiological systemCardiacBiotechnologyCytological TechniquesInduced Pluripotent Stem CellsOptical flowTorsades de pointesImage processingBioengineeringarrhythmiaArticlebiosignal processingoptical flow03 medical and health sciencesMotionMatch movingmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumansMyocytesStem Cell Research - Induced Pluripotent Stem CellCardiac arrhythmiaArrhythmias CardiacTissue physiologymedicine.diseaseStem Cell ResearchMyocardial Contractioncardiac motion030104 developmental biology030217 neurology & neurosurgerySoftware
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New statistical post processing approach for precise fault and defect localization in TRI database acquired on complex VLSI

2013

International audience; Timing issue, missing or extra state transitions or unusual consumption can be detected and localized by Time Resolved Imaging (TRI) database analysis. Although, long test pattern can challenge this process. The number of photons to process rapidly increases and the acquisition time to have a good signal over noise ratio (SNR) can be prohibitive. As a result, the tracking of the defect emission signature inside a huge database can be quite complicated. In this paper, a method based on data mining techniques is suggested to help the TRI end user to have a good idea about where to start a deeper analysis of the integrated circuit, even with such complex databases.

Engineering[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologyIntegrated circuit[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingcomputer.software_genreFault (power engineering)01 natural sciencesSignalClusteringlaw.inventionFailure AnalysisDynamic Photon EmissionData acquisition[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processinglaw0103 physical sciences0202 electrical engineering electronic engineering information engineering[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsCluster analysis[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing010302 applied physicsVery-large-scale integrationDatabasebusiness.industryNoise (signal processing)Process (computing)VLSITime Resolved Imaging020201 artificial intelligence & image processing[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronicsbusinesscomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Predictive Chaos Control for the 1D-map of Action Potential Duration

2016

International audience; In the present work, a nonlinear control method namely predictive controlis investigated. The proposed method allows stabilizing unstable period-1 rhythm.Using mathematical analysis and computer simulations, we show that this methodcan be used to control chaotic behavior or pathological rhythms. As example, theresults are illustrated in the case of the 1D-map action potential duration (APDi+1)which modelizes the cardiac action potential duration as the function of the previousone (APDi).

[ MATH ] Mathematics [math]Action Potential Duration (APD)chaos[ NLIN ] Nonlinear Sciences [physics][NLIN] Nonlinear Sciences [physics][MATH] Mathematics [math][NLIN]Nonlinear Sciences [physics][MATH]Mathematics [math]normal rhythmirregular heart rhythmequilibrium pointpredictive control
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Relationship between complex fractionated atrial electrogram patterns and different heart substrate configurations

2012

International audience; Complex Fractionated Atrial Electrograms (CFAE) were identified as being symptomatic of reentrant activities. Signals recorded by an intracardiac catheter give an imprecise vision of the underlying phenomena that occur in the proarrhythmic substrate. In this study, phenomenological and ionic numerical models were used to simulate a small piece of the atrium substrate. The catheter measurement is also simulated numerically to take into account electrode particularities. Modifications were applied on the numerical substrate. Then stimulation scenarios were generated in the numerical substrate such as planar waves, stable or breaking spirals. Comparison between simulate…

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[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[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingcardiovascular system[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing[SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
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Pattern image enhancement by extended depth of field

2014

International audience

[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Cluster matching in time resolved imaging for VLSI analysis

2014

International audience; If scaling has the benefit of enabling manufacturers to design tomorrow's integrated circuits, from the failure analyst point of view it also has the drawback of making devices more complex. The test sequence for modern VLSI can be quite long, with thousands of vector. Dynamic photon emission databases can contain millions of photons representing thousands of state changes in the region of interest. Finding a candidate location where to perform physical analysis is quite challenging, especially if the fault occurs on a single vector. In this paper, we suggest a new methodology to find single vector fault in dynamic photon emission database. The process is applied at …

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingMatching (graph theory)[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer science[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyIntegrated circuitFault (power engineering)computer.software_genre01 natural sciencesk-nearest neighbors algorithmlaw.invention[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processinglaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringPoint (geometry)[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsCluster analysisComputer Science::Databases[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing010302 applied physicsVery-large-scale integrationProcess (computing)Computer engineering[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics020201 artificial intelligence & image processingData mining[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingcomputerProceedings of the 21th International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA)
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Cardiac arrhythmia induced by hypothermia in a cardiac model in vitro

2013

nouvelle version avec l'article complet; International audience; The neurological damage after cardiac arrest (CA) constitutes a big challenge of hospital discharge since years. The therapeutic hypothermia therapy (34°C-32°C) has shown its benefit to reduce cerebral oxygen demand and improve neurological outcomes after the cardiac arrest. Despite the fact that induced hypothermia after CA has been shown to increase the hospital survival rate, it can have many adverse effects, among which the cardiac arrhythmia generation represents an important part (up to 34%, according different clinical studies). Compared to studies in vivo, cardiac culture in vitro provides a better spatial resolution a…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingcardiovascular system[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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EMERGENCE OF TRAVELLING WAVES IN SMOOTH NERVE FIBRES

2008

International audience; An approximate analytical solution characterizing initial condi- tions leading to action potential ¯ring in smooth nerve ¯bres is determined, using the bistable equation. In the ¯rst place, we present a non-trivial sta- tionary solution wave. Then, we extract the main features of this solution to obtain a frontier condition between the initiation of the travelling waves and a decay to the resting state. This frontier corresponds to a separatrix in the projected dynamics diagram depending on the width and the amplitude of the stationary wave.

StationarityBistability[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]01 natural sciencesNerve fibresStanding waveOptics[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP]0103 physical sciencesTraveling wave[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Discrete Mathematics and Combinatorics[MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP]0101 mathematics010306 general physicsProjected dynamicsPhysicsSeparatrixbusiness.industry[SCCO.NEUR]Cognitive science/NeuroscienceApplied Mathematics[SCCO.NEUR] Cognitive science/NeuroscienceDiagramDynamics (mechanics)Mechanics010101 applied mathematics[NLIN.NLIN-CD] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]Amplitude[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SCCO.NEUR ] Cognitive science/NeuroscienceAction potential firingbusinessAnalysis
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Analysis of an Experimental Model of In Vitro Cardiac Tissue Using Phase Space Reconstruction

2014

International audience; The in vitro cultures of cardiac cells represent valuable models to study the mechanism of the arrhythmias at the cellular level. But the dynamics of these experimental models cannot be characterized precisely, as they include a lot of parameters that depend on experimental conditions. This paper is devoted to the investigation of the dynamics of an in vitro model using a phase space reconstruction. Our model, based on the heart cells of new born rats, generates electrical field potentials acquired using a microelectrode technology, which are analyzed in normal and under external stimulation conditions. Phase space reconstructions of electrical field potential signal…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingField (physics)Quantitative Biology::Tissues and OrgansChaoticHealth Informatics[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030204 cardiovascular system & hematology01 natural sciences03 medical and health sciencesTheoretical physicsNonlinear system0302 clinical medicineDimension (vector space)[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingPhase space0103 physical sciencesSignal ProcessingAttractorEmbedding010306 general physicsBiological system[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingStatistical hypothesis testingMathematics
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Cardiac arrhythmias induced by an electrical stimulation at a cellular level

2008

To provide insights into the impulse propagation between cardiac myocytes, we performed studies of excitation spread with cellular resolution in confluent monolayers of cultured cardiomyocytes (CM). Multisite field potentials have been recorded using microelectrode arrays (MEA) technology in a basal condition and in proarrhythmic conditions induced by a high frequency electrical stimulation. The in vitro observation of spiral waves opens a new way to test the anti-arrhythmic drugs or strategies at cellular level.

Fibrillation0303 health sciencesmedicine.medical_specialtyChemistry[SDV]Life Sciences [q-bio]Stimulation030204 cardiovascular system & hematologyCellular level[SPI]Engineering Sciences [physics]03 medical and health sciencesMicroelectrode0302 clinical medicineCellular resolutionInternal medicinemedicineBiophysicsCardiologyMyocyte[NLIN]Nonlinear Sciences [physics]medicine.symptomComputingMilieux_MISCELLANEOUS030304 developmental biology2008 Computers in Cardiology
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Parameters analysis of FitzHugh-Nagumo model for a reliable simulation

2014

International audience; Derived from the pioneer ionic Hodgkin-Huxley model and due to its simplicity and richness from a point view of nonlinear dynamics, the FitzHugh-Nagumo model has been one of the most successful neuron / cardiac cell model. It exists many variations of the original FHN model. Though these FHN type models help to enrich the dynamics of the FHN model. The parameters used in these models are often in biased conditions. The related results would be questionable. So, in this study, the aim is to find the parameter thresholds for one of the commonly used FHN model in order to pride a better simulation environment. The results showed at first that inappropriate time step and…

Neurons[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingModels NeurologicalModels CardiovascularAction PotentialsOrder (ring theory)Relaxation (iterative method)[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingType (model theory)Time stepCardiac cellNonlinear systemTheoretical physicsLinear relationshipNonlinear Dynamics[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingHumansApplied mathematicsMyocytes CardiacFitzHugh–Nagumo model[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematics2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Comparison of complex fractionated atrial electrograms at cellular scale using numerical and experimental models.

2010

This study investigates the existence of the pseudo complex fractionated atrial electrogram (CFAE) at cellular level. Our assumptions are based on the fact that CFAEs are linked to the generation of the spiral waves. These are created using a numerical model and an experimental model of in vitro culture of neonatal rats cardiac cells. Pseudo bipolar electrograms resulting from these two models are compared qualitatively and some patterns could be identified as CFAE signature.

PhysicsScale (ratio)Experimental modelModels CardiovascularAction PotentialsNumerical modelsCellular levelElectrocardiographyBiological ClocksHeart Conduction SystemAtrial FibrillationAnimalsHumansComputer SimulationMyocytes CardiacHeart AtriaBiological systemCellular biophysicsBiomedical engineeringAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Pattern image enhancement by extended depth of field

2014

Abstract Most optical defect localization techniques such as dynamic laser stimulation or photon emission microscopy require a pattern image of the device to be taken. The main purpose is for device navigation, but it also enables the analyst to identify the location of the monitored activity by superimposing it onto the pattern image. The defect localization workflow usually starts at low or medium magnification. At these scales, several factors can lead to a lack of orthogonality of the sample with the optical axis of the system. Therefore, images can be locally out of focus and poorly resolved. In this paper, a method based on Depth of Field Extension is suggested to correct the pattern …

business.industryMagnificationImage processingCondensed Matter PhysicsLaserAtomic and Molecular Physics and OpticsSurfaces Coatings and FilmsElectronic Optical and Magnetic Materialslaw.inventionFocus stackingOptical axisOpticslawComputer visionDepth of fieldArtificial intelligenceElectrical and Electronic EngineeringSafety Risk Reliability and QualitybusinessFocus (optics)Infrared microscopyMathematicsMicroelectronics Reliability
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<title>Reaction-diffusion electrical network for image processing</title>

2006

We consider an experimental setup, modelling the FitzHugh-Nagumo equation without recovery term and composed of a 1D nonlinear electrical network made up of discrete bistable cells, resistively coupled. In the first place, we study the propagation of topological fronts in the continuum limit, then in more discrete case. We propose to apply these results to the domain of signal processing. We show that erosion and dilation of a binary signal, can be obtained. Finally, we extend the study to 2D lattices and show that it can be of great interest in image processing techniques.© (2006) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted fo…

Nonlinear systemSignal processingMultidimensional signal processingBistabilitylawComputer scienceOptical engineeringElectrical networkElectronic engineeringDilation (morphology)Image processingTopologylaw.inventionSPIE Proceedings
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Unsupervised image processing scheme for transistor photon emission analysis in order to identify defect location

2015

International audience; The study of the light emitted by transistors in a highly scaled complementary metal oxide semiconductor (CMOS) integrated circuit (IC) has become a key method with which to analyze faulty devices, track the failure root cause, and have candidate locations for where to start the physical analysis. The localization of defective areas in IC corresponds to a reliability check and gives information to the designer to improve the IC design. The scaling of CMOS leads to an increase in the number of active nodes inside the acquisition area. There are also more differences between the spot’s intensities. In order to improve the identification of all of the photon emission sp…

Computer scienceImage processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyIntegrated circuitIntegrated circuit design01 natural scienceslaw.inventionlaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringComputer visionElectrical and Electronic Engineering[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics010302 applied physicsSignal processingNoise (signal processing)business.industryPattern recognitionImage segmentationThresholdingAtomic and Molecular Physics and OpticsComputer Science ApplicationsCMOS[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Détection d'Anomalie dans les Signaux Physiologiques

2015

International audience; Les signaux physiologiques sont des séries temporelles riches en informations. Analyser ces signaux pour extraire ces informations, pour établir un diagnostic ou encore pour prédire une évolution, nécessite des outils performants et adaptés à leurs caractéristiques intrinsèques. En effet le comportement d'un système biologique dépend des variations de très nombreux paramètres, ce qui le rend alors presque imprévisible. Les méthodes issues de la théorie du chaos et de la dynamique non linéaire apportent des éléments qui permettent de comprendre ce type de comportements, et d'établir ainsi un lien qualitatif avec des modèles mathématiques bio-inspirés ou phénoménologiq…

[NLIN.NLIN-CD] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]
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Phase Space Reconstruction of an Experimental Cardiac Electrical Signal

2014

International audience; Cardiac arrhythmias are very common pathologies which can be treated either by medications, invasive ablation procedures or device implantations. In order to improve theses treatments, clinical and experimental models are used to test new drugs. In this context, in vitro cultures of cardiac cells represent valuable models to study the mechanism of the arrhythmias at the cellular level. In this paper, we investigate the stability and robustness of an experimental model in normal and under external stimulation conditions. Phase space reconstructions of attractors in normal and arrhythmic cases are performed after characterizing the nonlinearity of the model, computing …

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Active spike transmission in the neuron model with a winding threshold manifold

2012

International audience; We analyze spiking responses of excitable neuron model with a winding threshold manifold on a pulse stimulation. The model is stimulated with external pulse stimuli and can generate nonlinear integrate-and-fire and resonant responses typical for excitable neuronal cells (all-or-none). In addition we show that for certain parameter range there is a possibility to trigger a spiking sequence with a finite number of spikes (a spiking message) in the response on a short stimulus pulse. So active transformation of N incoming pulses to M (with M>N) outgoing spikes is possible. At the level of single neuron computations such property can provide an active "spike source" comp…

Cognitive Neuroscience[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]Threshold manifoldBiological neuron modelMachine learningcomputer.software_genreTopology01 natural sciences010305 fluids & plasmaslaw.inventionSpike encodingArtificial Intelligencelaw0103 physical sciences010306 general physicsSpike transmissionActive responseBifurcationMathematicsExcitabilityQuantitative Biology::Neurons and Cognitionbusiness.industry[SCCO.NEUR]Cognitive science/NeuroscienceDissipationComputer Science ApplicationsPulse (physics)[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsNonlinear systemTransmission (telecommunications)Nonlinear dynamics[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SCCO.NEUR ] Cognitive science/NeuroscienceSpike (software development)Artificial intelligencebusinessManifold (fluid mechanics)computer
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ANALYTICAL DETERMINATION OF INITIAL CONDITIONS LEADING TO FIRING IN NERVE FIBERS

2007

International audience; An analytical solution characterizing initial conditions leading to action potential firing in smooth nerve fibers is determined, using the bistable equation. In the first place, we present a nontrivial stationary solution wave, then, using the perturbative method, we analyze the stability of this stationary wave. We show that it corresponds to a frontier between the initiation of the travelling waves and a decay to the resting state. Eventually, this analytical approach is extended to FitzHugh-Nagumo model.

StationarityBistability[PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph][MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]01 natural sciencesStability (probability)010305 fluids & plasmasStanding waveOptics[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]0103 physical sciencesReaction–diffusion systemTraveling wave[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]0101 mathematicsEngineering (miscellaneous)PhysicsQuantitative Biology::Neurons and Cognitionbusiness.industry[SCCO.NEUR]Cognitive science/Neurosciencenerve fibersApplied Mathematics[SCCO.NEUR] Cognitive science/Neurosciencereaction-diffusion[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]Mechanics[PHYS.MPHY] Physics [physics]/Mathematical Physics [math-ph]010101 applied mathematicsModeling and Simulation[ SCCO.NEUR ] Cognitive science/Neuroscience[ PHYS.MPHY ] Physics [physics]/Mathematical Physics [math-ph]Action potential firingbusinessStationary solutionnerve fibers.International Journal of Bifurcation and Chaos
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Analyse de la dynamique de la durée du potentiel d'action cardiaque à travers un modèle itératif

2013

International audience; Le présent travail a pour but de caractériser, par une étude mathématique rigoureuse la dynamique du modèle itératif de la durée du potentiel d'action. L'étude de ce modèle, qui découle de celui de Beeler Reuter (BR), se caractérise par une dynamique matérialisée par une courbe de restitution et qui peut servir d'outil pertinent dans l'analyse et le diagnostic d'arythmie. Par ailleurs l'analyse de la stabilité du modèle permet de définir les zones d'existence de différents rythmes cardiaques.

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingchaos[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingbassin d'attractionmodèle itératif[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingbistabilitéstabilité[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Active spike responses of analog electrical neuron: Theory and experiments

2010

Using an analog electrical FitzHugh-Nagumo neuron including complex threshold excitation (CTE) properties, we analyze its spiking responses under pulse stimulation corresponding to oscillating threshold manifold. The system is subjected to outside pulse stimulus and can generate nonlinear integrate-and-flre and resonant responses which are typical for excitable neuronal cells ("all-or-none"). The answer of the neuron strongly depends on the number and the characteristics of incoming impulses (amplitude, width, strength and frequency). For certain parameters range, there is a possibility to trigger a spiking sequence with a finite number of spikes in response of a single short stimulus pulse…

Quantitative Biology::Neurons and CognitionStimulus (physiology)law.inventionNonlinear systemAmplitudemedicine.anatomical_structurelawControl theoryElectrical networkmedicineFitzHugh–Nagumo modelNeuronBiological systemBifurcationExcitationMathematicsProceedings of 2010 IEEE International Symposium on Circuits and Systems
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Arrhythmia due to mild therapeutic hypothermia - a study in vitro

2013

International audience; Introduction: In case of resuscitation after CA, the brain suffers the ischemia and the inflammation from reperfusion. To days, the only therapy available is the mild therapeutic hypothermia (MTH) : put the patient under 34°C-32°C during 12-24 hours. MTH has been shown to increase the hospital survival rate, but it has many adverse effects, among which the cardiac arrhythmia generation represents an important part (up to 34%). Cardiac culture in vitro provides a better spatial resolution than study in vivo, which could bring some insights of the mechanism of post-hypothermia arrhythmia generation. Method: Monolayer cardiac culture is prepared with cardiomyocytes from…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Experimental study of arrhythmia due to mild therapeutic hypothermia after resuscitation of cardiac arrest

2013

International audience; Introduction: One of the important challenges after cardiac arrest (CA) is the neurological damage of the brain. In case of resuscitation after CA, the brain suffers the ischemia and the inflammation from reperfusion. To days, the only therapy available is the mild therapeutic hypothermia (MTH) : put the patient under 34°C-32°C during 12-24 hours. Even though that MTH has been shown to increase the hospital survival rate, it has many adverse effects, among which the cardiac arrhythmia generation represents an important part (up to 34%). Cardiac culture in vitro provides a better spatial resolution (to cellular level) than study in vivo, which could bring some insight…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Automatic defect localization in VLSI circuits: A fusion approach based on the Dempster-Shafer theory

2017

Defect localization in Very Large Integration Cir-cuits (VLSI) requires to use multi-sensor information such aselectrical waveforms, emission microscopy images and frequencymapping in order to detect, localize and identify the failure. Eachsensor provides a specific kind of feature modeling the evidence.Thus, the defect localization in VLSI can be summarized asa problem of data fusion with heterogeneous and impreciseinformation. This study illustrates how to reproduce the humandecision for modeling and fusing the different multi-sensorfeatures by using the Demspter-Shafer theory. We propose notonly an automatic decision rule for mass functions computingbut also confidence intervals to quantif…

VLSI analysisMulti-sensor data fusionFault detection and identification[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationEvidence theory
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Control of the One Dimensional Map Dynamics of the Cardiac Action Potential Duration

2015

International audience; The aim of this work is to investigate the control of the chaos in the one dimensional map which modelizes the duration of the current cardiac action potential (APD) as a function of the previous one. Using OGY control method, we obtain very satisfactory numerical results to stabilize the irregular heart rhythm into the normal rhythm.

[ MATH.MATH-CA ] Mathematics [math]/Classical Analysis and ODEs [math.CA][MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-CA]Mathematics [math]/Classical Analysis and ODEs [math.CA][MATH.MATH-CA] Mathematics [math]/Classical Analysis and ODEs [math.CA]
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Modélisation, Analyse et Traitement de l'Information

2016

Mes activités de recherche s’articulent, d’une part, autour de l’instrumentation et du génie biomédical,et, d’autre part, autour du traitement et de la transmission non linéaire de l’information. Elles sebasent sur la modélisation des signaux à partir de modèles non linéaires (principalement modèles deréaction-diffusion. . . ) continus (EDP) et discrets (numériques). Dans cette partie, d’un point de vuefondamental, des phénomènes dynamiques complexes ou chaotiques sont caractérisés à travers l’analyse,la classification, la reconnaissance des motifs dans des signaux physiologiques ou issus des circuitsélectroniques. Un autre axe sur lequel je travaille concerne l’analyse et le traitement des…

[ NLIN ] Nonlinear Sciences [physics]Reconnaissance de motifsSystèmes électroniquesDynamique non linéaire[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingAnalyse Multirésolution[SPI.TRON] Engineering Sciences [physics]/ElectronicsModelling[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsclassificationModélisationFiltrageNonlinear dynamics[NLIN] Nonlinear Sciences [physics][NLIN]Nonlinear Sciences [physics]ElectronicsFilteringPattern matchingInstrumentation[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingGénie biomédical
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