Search results for "Neural"

showing 10 items of 2783 documents

New modes in non-invasive ventilation

2016

IF 2.536; International audience; Non-invasive ventilation is useful to treat some forms of respiratory failure. Hence, the number of patients receiving this treatment is steadily increasing. Considerable conceptual and technical progress has been made in recent years by manufacturers concerning this technique. This includes new features committed to improve its effectiveness as well as patient-ventilator interactions. The goal of this review is to deal with latest advances in ventilatory modes and features available for non-invasive ventilation. We present a comprehensive analysis of new modes of ventilator assistance committed to treat respiratory failure (hybrid modes) and central and co…

Pulmonary and Respiratory MedicineComplex sleep apneamedicine.medical_specialtyCentral sleep apneaAdaptive servo ventilation[ SDV.MHEP.PED ] Life Sciences [q-bio]/Human health and pathology/PediatricsCheyne-stokes respirationReview030204 cardiovascular system & hematologyPositive airway pressureRespiratory failure[SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tractAssured pressure support03 medical and health sciences0302 clinical medicinemedicineNeurally adjusted ventilatory assistVentilatory modesHumansIntensive care medicineObstructive pulmonary-diseaseComplex sleep-apnea[SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/PediatricsNoninvasive Ventilationbusiness.industryDiaphragm electrical-activityNon invasive ventilationmedicine.diseaseNeuro adjusted ventilatory assistClinical PracticeRandomized controlled-trialAdaptative servo ventilationChronic heart-failure030228 respiratory systemRespiratory failurePediatrics Perinatology and Child HealthBreathingCentral sleep apneabusinessRespiratory InsufficiencyImproves cardiac-function[ SDV.MHEP.PSR ] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract
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Near-normal aerobic capacity in long-term survivors after lung transplantation

2021

The clinical course of lung transplantation (LT) is diverse: some patients present chronic lung allograft dysfunction (CLAD) and progressive decline in pulmonary function, but others maintain normal spirometric values and active lives. Objectives The aim of this study was to elucidate whether long-term LT survivors with normal spirometry achieve normal exercise capacity, and to identify predictive factors of exercise capacity. Methods This was a cross-sectional multicentre study, where bilateral LT recipients who survived at least 10 years after LT, with normal spirometry, no diagnosis of CLAD and modified Medical Research Council dyspnoea degree ≤2 underwent cardiopulmonary exercise testin…

Pulmonary and Respiratory Medicinemedicine.medical_specialtymedicine.medical_treatmentlcsh:MedicineExercici030204 cardiovascular system & hematologyPulmonary function testing03 medical and health sciences0302 clinical medicineDLCOInternal medicine:Musculoskeletal and Neural Physiological Phenomena::Musculoskeletal Physiological Phenomena::Movement::Motor Activity::Exercise [PHENOMENA AND PROCESSES]medicineLung transplantation:Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Techniques Respiratory System::Respiratory Function Tests::Spirometry [ANALYTICAL DIAGNOSTIC AND THERAPEUTIC TECHNIQUES AND EQUIPMENT]:Surgical Procedures Operative::Surgical Procedures Operative::Transplantation::Organ Transplantation::Lung Transplantation [ANALYTICAL DIAGNOSTIC AND THERAPEUTIC TECHNIQUES AND EQUIPMENT]Respiratory exchange ratioAerobic capacityLungbusiness.industrylcsh:RVO2 maxOriginal Articles:diagnóstico::técnicas y procedimientos diagnósticos::técnicas diagnósticas respiratorias::pruebas de función respiratoria::espirometría [TÉCNICAS Y EQUIPOS ANALÍTICOS DIAGNÓSTICOS Y TERAPÉUTICOS]10Pulmons - Trasplantaciómedicine.anatomical_structure030228 respiratory system:fenómenos fisiológicos nerviosos y musculoesqueléticos::fenómenos fisiológicos musculoesqueléticos::movimiento::actividad motora::ejercicio físico [FENÓMENOS Y PROCESOS]CardiologyEspirometria:intervenciones quirúrgicas::intervenciones quirúrgicas::trasplante::trasplante de órganos::trasplante de pulmón [TÉCNICAS Y EQUIPOS ANALÍTICOS DIAGNÓSTICOS Y TERAPÉUTICOS]businessAnaerobic exerciseLung Transplantation
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H(II) centers in natural silica under repeated UV laser irradiations

2004

We investigated the kinetics of H(II) centers (=Ge'-H) in natural silica under repeated 266nm UV irradiations performed by a Nd:YAG pulsed laser. UV photons temporarily destroy these paramagnetic defects, their reduction being complete within 250 pulses. After re-irradiation, H(II) centers grow again, and the observed recovery kinetics depends on the irradiation dose; multiple 2000 pulses re-irradiations induce the same post-irradiation kinetics of H(II) centers after each exposure cycle. The analysis of these effects allows us to achieve a deeper understanding of the dynamics of the centers during and after laser irradiation.

Pulsed laserKineticsTWOFOLD COORDINATED SIFOS: Physical sciencesATOMSParamagnetismMaterials ChemistryUv laserIrradiationEXPOSUREQuartzCondensed Matter - Materials ScienceSNChemistryNatural compoundRadiochemistryMaterials Science (cond-mat.mtrl-sci)Disordered Systems and Neural Networks (cond-mat.dis-nn)DEFECTSCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsDIFFUSIONElectronic Optical and Magnetic MaterialsWavelengthGE-DOPED SIO2MOLECULAR-HYDROGENGLASSESCeramics and Composites
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Continuous Analysis of Running Mechanics by Means of an Integrated INS/GPS Device

2019

This paper describes a single body-mounted sensor that integrates accelerometers, gyroscopes, compasses, barometers, a GPS receiver, and a methodology to process the data for biomechanical studies. The sensor and its data processing system can accurately compute the speed, acceleration, angular velocity, and angular orientation at an output rate of 400 Hz and has the ability to collect large volumes of ecologically-valid data. The system also segments steps and computes metrics for each step. We analyzed the sensitivity of these metrics to changing the start time of the gait cycle. Along with traditional metrics, such as cadence, speed, step length, and vertical oscillation, this system est…

QA75GV557_SportsT1neuroverkotlcsh:Chemical technologyneural networksArticlejuoksumachine learningkoneoppiminenmittauslaitteetsatelliittipaikannusMachine learninggait analysislcsh:TP1-1185sports equipmentbiomekaniikkaINS/GPSvelocity measurement
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Markerless 2D kinematic analysis of underwater running : A deep learning approach

2018

Kinematic analysis is often performed with a camera system combined with reflective markers placed over bony landmarks. This method is restrictive (and often expensive), and limits the ability to perform analyses outside of the lab. In the present study, we used a markerless deep learning-based method to perform 2D kinematic analysis of deep water running, a task that poses several challenges to image processing methods. A single GoPro camera recorded sagittal plane lower limb motion. A deep neural network was trained using data from 17 individuals, and then used to predict the locations of markers that approximated joint centres. We found that 300–400 labelled images were sufficient to tra…

QA75Motion analysisComputer scienceQP301.H75_Physiology._Sport.0206 medical engineeringBiomedical EngineeringBiophysicsVideo RecordingSTRIDEImage processing02 engineering and technologyKinematicstekoälySports biomechanicsRunning03 medical and health sciencesMotion0302 clinical medicineImmersionImage Processing Computer-AssistedHumansOrthopedics and Sports MedicineComputer visionliikeanalyysita315liikeoppiGV557_SportsArtificial neural networkPixelbusiness.industryDeep learningmotion analysisRehabilitationvesijuoksuReproducibility of Resultsdeep learningdeep water runningartificial intelligence020601 biomedical engineeringBiomechanical PhenomenaLower ExtremitykinematicsArtificial intelligenceNeural Networks Computerbusiness030217 neurology & neurosurgeryJournal of Biomechanics
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Amyloid Beta-Mediated Changes in Synaptic Function and Spine Number of Neocortical Neurons Depend on NMDA Receptors

2021

Onset and progression of Alzheimer’s disease (AD) pathophysiology differs between brain regions. The neocortex, for example, is a brain region that is affected very early during AD. NMDA receptors (NMDARs) are involved in mediating amyloid beta (Aβ) toxicity. NMDAR expression, on the other hand, can be affected by Aβ. We tested whether the high vulnerability of neocortical neurons for Aβ-toxicity may result from specific NMDAR expression profiles or from a particular regulation of NMDAR expression by Aβ. Electrophysiological analyses suggested that pyramidal cells of 6-months-old wildtype mice express mostly GluN1/GluN2A NMDARs. While synaptic NMDAR-mediated currents are unaltered in 5xFAD …

QH301-705.5Amyloid betasomatosensory cortexDendritic SpinesMice TransgenicNeocortexSomatosensory systemReceptors N-Methyl-D-AspartateCatalysisArticleInorganic ChemistryAlzheimer Diseasemental disordersmedicineAnimalsBiology (General)Physical and Theoretical ChemistryQD1-999Molecular BiologySpectroscopyNeuronsNeocortexAmyloid beta-PeptidesbiologyPyramidal Cellsmusculoskeletal neural and ocular physiologyOrganic ChemistryWild typeAmyloid betaExcitatory Postsynaptic PotentialsGeneral Medicine5xFADPathophysiologyComputer Science ApplicationsNMDARChemistryElectrophysiologyProtein Subunitsmedicine.anatomical_structurenervous systemKnockout mouseSynapsesbiology.proteinNMDA receptorbiological phenomena cell phenomena and immunityNeuroscienceAlzheimer’s diseasepsychological phenomena and processesInternational Journal of Molecular Sciences
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Prediction of Highly Non-stationary Time Series Using Higher-Order Neural Units

2017

Adaptive predictive models can use conventional and nonconventional neural networks for highly non-stationary time series prediction. However, conventional neural networks present a series of known drawbacks. This paper presents a brief discussion about this concern as well as how the basis of higher-order neural units can overcome some of them; it also describes a sliding window technique alongside the batch optimization technique for capturing the dynamics of non-stationary time series over a Quadratic Neural Unit, a special case of higher-order neural units. Finally, an experimental analysis is presented to demonstrate the effectiveness of the proposed approach.

Quadratic equationQuantitative Biology::Neurons and CognitionBasis (linear algebra)Series (mathematics)Artificial neural networkOrder (exchange)Computer scienceSliding window protocolTime seriesSpecial caseAlgorithm
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A 21st century technique for food control: electronic noses.

2008

This work examines the main features of modern electronic noses (e-noses) and their most important applications in food control in this new century. The three components of an electronic nose (sample handling system, detection system, and data processing system) are described. Special attention is devoted to the promising mass spectrometry based e-noses, due to their advantages over the more classical gas sensors. Applications described include process monitoring, shelf-life investigation, freshness evaluation, authenticity assessment, as well as other general aspects of the utilization of electronic noses in food control. Finally, some interesting remarks concerning the strengths and weakn…

Quality ControlFood industryFood HandlingFood ContaminationNoseBiochemistryAnalytical ChemistryData processing systemotorhinolaryngologic diseasesEnvironmental ChemistryElectronicsSpectroscopyElectronic noseChemistrybusiness.industryFood safetyFood AnalysisSmellvisual_artElectronic componentOdorantsSystems engineeringFood processingvisual_art.visual_art_mediumNeural Networks ComputerElectronicsbusinessFood AnalysisAnalytica chimica acta
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Molecular-dynamics simulation of a glassy polymer melt: Rouse model and cage effect

1999

We report results of molecular-dynamics simulations for a glassy polymer melt consisting of short, linear bead-spring chains. It was shown in previous work that this onset of the glassy slowing down is compatible with the predictions of the mode coupling theory. The physical process of `caging' of a monomer by its spatial neighbors leads to a distinct two step behavior in the particle mean square displacements. In this work we analyze the effects of this caging process on the Rouse description of the melt's dynamics. We show that the Rouse theory is applicable for length and time scales above the typical scales for the caging process. Futhermore, the monomer displacement is compared with si…

Quantitative Biology::BiomoleculesWork (thermodynamics)Condensed matter physicsChemistryGeneral Chemical EngineeringFOS: Physical sciencesThermodynamicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Soft Condensed MatterCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter::Soft Condensed MatterMolecular dynamicsMode couplingSoft Condensed Matter (cond-mat.soft)Relaxation (physics)Cage effectDiffusion (business)Glass transitionSupercoolingComputational and Theoretical Polymer Science
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Artificial Neural Networks for Prediction

2005

The design and implementation of intelligent systems with human capabilities is the starting point to design Artificial Neural Networks (ANNs). The original idea takes after neuroscience theory on how neurons in the human brain cooperate to learn from a set of input signals to produce an answer. Because the power of the brain comes from the number of neurons and the multiple connections between them, the basic idea is that connecting a large number of simple elements in a specific way can form an intelligent system.

Quantitative Biology::Neurons and CognitionArtificial neural networkComputer sciencebusiness.industryGenetic algorithmArtificial intelligencebusiness
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