Search results for "Simulation."

showing 10 items of 4779 documents

Optical and Visual Quality of the Visian Implantable Collamer Lens Using an Adaptive-Optics Visual Simulator

2013

To evaluate visual and optical quality of the implantable collamer lens for different powers and sizes of incision surgery.Prospective study in humans.An adaptive optics visual simulator was used to measure 3 powers of implantable collamer lenses and simulate the implantable collamer lens wavefront aberration's pattern for small- and large-incision surgery. Visual acuity (VA) and contrast sensitivity were measured in 11 observers for 3- and 5-mm pupils. Modulation transfer function, point spread function, and Strehl ratio were calculated.At 3 mm pupil, no statistically significant differences were found between both incision sizes for any implantable collamer lens power, except for -15 diop…

AdultMicrosurgeryOptics and PhotonicsPhakic Intraocular LensesVisual acuityAdolescentgenetic structuresComputer sciencemedia_common.quotation_subjectVisual AcuityPhakic intraocular lensPupilYoung AdultLens Implantation IntraocularOptical transfer functionmedicineHumansContrast (vision)Prospective StudiesAdaptive opticsVision OcularSimulationDioptremedia_commonAberrometryStrehl ratioeye diseasesRefractive Surgical ProceduresOphthalmologysense organsmedicine.symptomAmerican Journal of Ophthalmology
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Testing Frequency-Domain Causality in Multivariate Time Series

2010

We introduce a new hypothesis-testing framework, based on surrogate data generation, to assess in the frequency domain, the concept of causality among multivariate (MV) time series. The approach extends the traditional Fourier transform (FT) method for generating surrogate data in a MV process and adapts it to the specific issue of causality. It generates causal FT (CFT) surrogates with FT modulus taken from the original series, and FT phase taken from a set of series with causal interactions set to zero over the direction of interest and preserved over all other directions. Two different zero-setting procedures, acting on the parameters of a MV autoregressive (MVAR) model fitted on the ori…

AdultMultivariate statisticsTime FactorsBiomedical EngineeringSurrogate datasymbols.namesakemultivariate autoregressive (MVAR) modeldirected coherence (DC)StatisticsHumansCoherence (signal processing)Computer SimulationEEGMathematicsSignal processingsurrogate dataFourier Analysispartial directed coherence (PDC)Models CardiovascularReproducibility of ResultsEstimatorElectroencephalographySignal Processing Computer-AssistedCardiovascular variabilityFourier transformAutoregressive modelFrequency domainMultivariate AnalysisSettore ING-INF/06 - Bioingegneria Elettronica E InformaticasymbolsAlgorithmAlgorithmsIEEE Transactions on Biomedical Engineering
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A minimal limit-cycle model to profile movement patterns of individuals during agility drill performance: Effects of skill level.

2015

Identification of control strategies during agility performance is significant in understanding movement behavior. This study aimed at providing a fundamental mathematical model for describing the motion of participants during an agility drill and to determine whether skill level constrained model components. Motion patterns of two groups of skilled and unskilled participants (n = 8 in each) during performance of a forward/backward agility drill modeled as limit-cycles. Participant movements were recorded by motion capture of a reflective marker attached to the sacrum of each individual. Graphical and regression analyses of movement kinematics in Hooke’s plane, phase plane and velocity prof…

AdultSacrumComputer scienceMovementBiophysicsExperimental and Cognitive PsychologyKinematicsAthletic PerformanceMotion captureMotion (physics)RunningSkill levelMotionYoung AdultOscillometryHumansOrthopedics and Sports MedicineComputer Simulationta315Postural BalanceSimulationVan der Pol oscillatorDrillMovement (music)Limit-cycle modelGeneral MedicineVariance (accounting)Phase planeModels TheoreticalMotor processesBiomechanical PhenomenaPhysical FitnessNonlinear dynamicsCalibrationAgilityRegression AnalysisPsychomotor PerformanceHuman movement science
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Mixed predictability and cross-validation to assess non-linear Granger causality in short cardiovascular variability series

2006

A method to evaluate the direction and strength of causal interactions in bivariate cardiovascular and cardiorespiratory series is presented. The method is based on quantifying self and mixed predictability of the two series using nearest-neighbour local linear approximation. It returns two causal coupling indexes measuring the relative improvement in predictability along direct and reverse directions, and a directionality index indicating the preferential direction of interaction. The method was implemented through a cross-validation approach that allowed quantification of directionality without constraining the embedding of the series, and fully exploited the available data to maximise th…

AdultStatistics as TopicBiomedical EngineeringInferenceBlood PressureHealth InformaticsBivariate analysisDirectionalityCross-validationGranger causalityHeart RateStatisticsEconometricsHumansComputer SimulationPredictabilityMathematicsSeries (mathematics)Models CardiovascularNonlinear systemNonlinear DynamicsData Interpretation StatisticalShort-term cardiovascular variabilityRespiratory MechanicsRegression AnalysisFemaleNon-linear predictionLinear approximationAlgorithmsBiomedizinische Technik/Biomedical Engineering
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Time-Varying Surrogate Data to Assess Nonlinearity in Nonstationary Time Series: Application to Heart Rate Variability

2009

We propose a method to extend to time-varying (TV) systems the procedure for generating typical surrogate time series, in order to test the presence of nonlinear dynamics in potentially nonstationary signals. The method is based on fitting a TV autoregressive (AR) model to the original series and then regressing the model coefficients with random replacements of the model residuals to generate TV AR surrogate series. The proposed surrogate series were used in combination with a TV sample entropy (SE) discriminating statistic to assess nonlinearity in both simulated and experimental time series, in comparison with traditional time-invariant (TIV) surrogates combined with the TIV SE discrimin…

AdultTime FactorsComputer scienceRestBiomedical EngineeringSurrogate dataHeart RateStatisticsHumansHeart rate variabilityEntropy (information theory)Computer SimulationNonstationarityEntropy (energy dispersal)Time seriesEntropy (arrow of time)StatisticModels StatisticalEntropy (statistical thermodynamics)RespirationNonlinear dynamicModels CardiovascularComplexitySample entropyNonlinear systemNonlinear DynamicsAutoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaSurrogate dataTime-varying (TV) autoregressive (AR) modelHeart rate variability (HRV)AlgorithmsEntropy (order and disorder)IEEE Transactions on Biomedical Engineering
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The effective group size for teaching cardiopulmonary resuscitation skills – A randomized controlled simulation trial

2021

Abstract Aim of the study The ideal group size for effective teaching of cardiopulmonary resuscitation is currently under debate. The upper limit is reached when instructors are unable to correct participants’ errors during skills practice. This simulation study aimed to define this limit during cardiopulmonary resuscitation teaching. Methods Medical students acting as simulated Basic Life Support course participants were instructed to make three different pre-defined Basic Life Support quality errors (e.g., chest compression too fast) in 7 min. Basic Life Support instructors were randomized to groups of 3–10 participants. Instructors were asked to observe the Basic Life Support skills and …

Adultmedicine.medical_specialtyPercentileStudents Medicalmedicine.medical_treatmenteducation030204 cardiovascular system & hematologyEmergency Nursing03 medical and health sciences0302 clinical medicinePrimary outcomeHumansMedicineComputer SimulationCardiopulmonary resuscitationbusiness.industryTeachingBasic life support030208 emergency & critical care medicineMiddle AgedCardiopulmonary ResuscitationEmergency MedicinePhysical therapyFemaleEducational MeasurementCardiology and Cardiovascular MedicinebusinessEffective teachingResuscitation
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Effect of a simulation-based workshop on multidisplinary teamwork of newborn emergencies: an intervention study

2015

Background: Video analyses of real-life newborn resuscitations have shown that Neonatal Resuscitation Program (NRP) guidelines are followed in fewer than 50 % of cases. Multidisciplinary simulation is used as a first-rate tool for the improvement of teamwork among health professionals. In the study we evaluated the impact of the crisis resource management (CRM) and anesthesia non-technical skills instruction on teamwork during simulated newborn emergencies. Methods: Ninety-nine participants of two delivery units (17 pediatricians, 16 anesthesiologists, 14 obstetricians, 31 midwives, and 21 neonatal nurses) were divided to an intervention group (I-group, 9 teams) and a control group (C-group…

Adultmedicine.medical_specialtyResuscitationmedia_common.quotation_subjecteducationControl (management)Infant Newborn DiseasesGeneral Biochemistry Genetics and Molecular BiologyEducationSimulation trainingMultidisciplinary approachNeonatal Resuscitation ProgramIntervention (counseling)Medical Staff Hospitalmedicinenewborn resuscitationHumanssimulointiNewborn resuscitationIntensive care medicineSet (psychology)Simulation Trainingmedia_commonPatient Care TeamMedicine(all)TeamworkMedical educationBiochemistry Genetics and Molecular Biology(all)business.industryscoringInfant NewbornGeneral MedicinetiimityöIntervention studies3. Good healthTeamworkbusinessSimulationScoringResearch ArticleBMC Research Notes
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Assessing Causality in normal and impaired short-term cardiovascular regulation via nonlinear prediction methods

2009

We investigated the ability of mutual nonlinear prediction methods to assess causal interactions in short-term cardiovascular variability during normal and impaired conditions. Directional interactions between heart period (RR interval of the ECG) and systolic arterial pressure (SAP) short-term variability series were quantified as the cross-predictability (CP) of one series given the other, and as the predictability improvement (PI) yielded by the inclusion of samples of one series into the prediction of the other series. Nonlinear prediction was performed through global approximation (GA), approximation with locally constant models (LA0) and approximation with locally linear models (LA1) …

Adultmedicine.medical_specialtySupine positionTime FactorsGeneral MathematicsRR intervalGlobal nonlinear predictionGeneral Physics and AstronomyNeurally-mediated syncopeBlood PressureK-nearest neighbours local nonlinear predictionCardiovascular SystemSyncopeCardiovascular Physiological PhenomenaPhysics and Astronomy (all)Engineering (all)Control theoryHeart RateNeurally mediated syncopeInternal medicinemedicinePressureHumansMathematics (all)Computer SimulationOut-of-sample predictionMathematicsModels StatisticalGeneral EngineeringLinear modelModels CardiovascularNonlinear granger causalityModels TheoreticalControl subjectsHeart rate and arterial pressure variabilityCausalityNonlinear predictionTerm (time)Case-Control StudiesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaCardiologyAlgorithms
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Evaluation of the postural stability of elderly persons using time domain signal analysis

2012

A force platform is widely used in the evaluation of postural stability in man. Although an abundance of parameters are typically retrieved from force platform data, no uniform analysis of the data has been carried out. In general, the signal analysis does not analyze the underlying postural event, i.e., whether the signal consists of several small corrections or large excursions. In the present work, we studied the postural stability of 4589 elderly persons from Iceland on a force platform under visual and non-visual conditions during stance on a solid surface. We analyzed the internal relationship between frequently used time domain variables. In addition, we conducted a factor analysis u…

Aged 80 and overMaleSignal processingTime FactorsGeneral NeuroscienceWork (physics)PostureOpen-loop controllerStationary pointSignalSensory SystemsArticleOtorhinolaryngologyControl theoryPostural BalanceHumansForce platformFemaleNeurology (clinical)Time domainPsychologyFactor Analysis StatisticalPostural BalanceSimulationAged
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A Bio-Inspired Cognitive Agent for Autonomous Urban Vehicles Routing Optimization

2017

Autonomous urban vehicle prototypes are expected to be efficient even in not explicitly planned circumstances and dynamic environments. The development of autonomous vehicles for urban driving needs real-time information from vehicles and road network to optimize traffic flows. In traffic agent-based models, each vehicle is an agent, while the road network is the environment. Cognitive agents are able to reason on the perceived data, to evaluate the information obtained by reasoning, and to learn and respond, preserving their self-sufficiency, independency, self-determination, and self-reliance. In this paper, a bio-inspired cognitive agent for autonomous urban vehicles routing optimization…

Agent behaviorComputer scienceProcess (engineering)Functional featuresDistributed computingMetabolic network020206 networking & telecommunications02 engineering and technologyvehicular ad hoc networks (VANETs)Urban roadCognitive agentArtificial IntelligenceAutonomous urban vehicles routing optimization0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRouting (electronic design automation)cellular metabolismSoftwareSimulationCell survivalcognitive agentIEEE Transactions on Cognitive and Developmental Systems
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