Search results for " Computer-Assisted"

showing 10 items of 1033 documents

Comparative 11A structure of two molluscan hemocyanins from 3D cryo-electron microscopy

2006

Abstract Hemocyanins are giant extracellular proteins that transport oxygen in the hemolymph of many molluscs. Molluscan hemocyanins are cylindrical decamers or didecamers of a 350–400 kDa subunit that contains seven or eight different covalently linked globular functional units (FUs), arranged in a linear manner. Each FU carries a single copper active site and reversibly binds one dioxygen molecule. As a consequence, the decamer can carry up to 70 or 80 O 2 molecules. Although complete sequence information is now available from several molluscan hemocyanins, many details of the quaternary structure are still unclear, including the topology of the 10 subunits within the decamer. Here we sho…

Models MolecularTransport oxygenCryo-electron microscopyMacromolecular Substancesmedicine.medical_treatmentProtein subunitGeneral Physics and AstronomyHemocyaninStructural BiologyHemolymphmedicineImage Processing Computer-AssistedAnimalsGeneral Materials ScienceProtein Structure QuaternarybiologyResolution (electron density)Cryoelectron MicroscopyActive siteHemocyaninCell BiologyCrystallographyMolluscaHemocyaninsbiology.proteinProtein quaternary structure
researchProduct

Calculation of bone graft volume using 3D reconstruction system.

2010

Objectives: To obtain bone ?bioreplicas? for determining precisely the amount of biomaterial required for bone regeneration procedure. Study design: A case-control comparison with a total sample size of 20 cases, 10 control and 10 test samples. ?Bioreplicas? were generated from helical CAT scans with 0.5 mm slices, without 3D reconstruction or image filters. Bone defects in premolar and molar areas were treated with titanium mesh and xenograft (MP3) combined with resorbable carriers. Time taken to carry out procedures with and without the use of ?bioreplicas? (in minutes), discrepancies between the grafts performed with and without ?bioreplicas? and bone defects (mm), and postoperative comp…

MolarModels AnatomicMaterials scienceDentistryImaging Three-DimensionalPremolarmedicineHumansRadiation treatment planningBone regenerationGeneral DentistryBone Transplantationbusiness.industry3D reconstructionBiomaterialBone defect:CIENCIAS MÉDICAS [UNESCO]medicine.anatomical_structureOtorhinolaryngologySurgery Computer-AssistedCase-Control StudiesUNESCO::CIENCIAS MÉDICASSurgeryGraft volumebusinessBiomedical engineeringMedicina oral, patologia oral y cirugia bucal
researchProduct

Selective Change Driven Imaging: A Biomimetic Visual Sensing Strategy

2011

Selective Change Driven (SCD) Vision is a biologically inspired strategy for acquiring, transmitting and processing images that significantly speeds up image sensing. SCD vision is based on a new CMOS image sensor which delivers, ordered by the absolute magnitude of its change, the pixels that have changed after the last time they were read out. Moreover, the traditional full frame processing hardware and programming methodology has to be changed, as a part of this biomimetic approach, to a new processing paradigm based on pixel processing in a data flow manner, instead of full frame image processing.

Motion analysisComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processinglcsh:Chemical technologyBiochemistryArticleAnalytical ChemistryMotionArtificial IntelligenceDigital image processingImage Processing Computer-AssistedComputer SimulationComputer visionlcsh:TP1-1185biomimeticsElectrical and Electronic EngineeringImage sensorInstrumentationPixelbusiness.industrymotion analysisFrame (networking)Atomic and Molecular Physics and OpticsCMOS image sensorArtificial intelligencebusinessAlgorithmsevent-based visionSensors
researchProduct

Speckle-based configuration for simultaneous in vitro inspection of mechanical contractions of cardiac myocyte cells.

2013

An optical lensless configuration for a remote noncontact measuring of mechanical contractions of a vast number of cardiac myocytes is proposed. All the myocytes were taken from rats, and the measurements were done in an in vitro mode. The optical method is based on temporal analysis of secondary reflected speckle patterns generated in lensless microscope configuration. The processing involves analyzing the movement and the change in the statistics of the secondary speckle patterns that are created on top of the cell culture when it is illuminated by a spot of laser beam. The main advantage of the proposed system is the ability to measure many cells simultaneously (∼1000 cells) and to extra…

Motion analysisMicroscopeMaterials scienceBiomedical Engineeringlaw.inventionBiomaterialsSpeckle patternOpticslawCell contractionMyocyteAnimalsMyocytes CardiacCells CulturedSignal processingMicroscopybusiness.industryCardiac myocyteOptical ImagingIsoproterenolReproducibility of ResultsSignal Processing Computer-AssistedLaserMyocardial ContractionAtomic and Molecular Physics and OpticsElectric StimulationElectronic Optical and Magnetic MaterialsBiomechanical PhenomenaRatsbusinessJournal of biomedical optics
researchProduct

Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy

2008

[EN] Automatic brain tumor classification by MRS has been under development for more than a decade. Nonetheless, to our knowledge, there are no published evaluations of predictive models with unseen cases that are subsequently acquired in different centers. The multicenter eTUMOUR project (2004-2009), which builds upon previous expertise from the INTERPRET project (2000-2002) has allowed such an evaluation to take place. A total of 253 pairwise classifiers for glioblastoma, meningioma, metastasis, and low-grade glial diagnosis were inferred based on 211 SV short TE INTERPRET MR spectra obtained at 1.5 T (PRESS or STEAM, 20-32 ms) and automatically pre-processed. Afterwards, the classifiers …

Multicenter evaluation studyDecision support systemComputer scienceBiophysicsBrain tumorDecision support systemsMachine learningcomputer.software_genreSensitivity and SpecificityBrain tumorsHealth informaticsAnalytical ChemistryPattern Recognition AutomatedArtificial IntelligenceMagnetic resonance spectroscopyBiomarkers TumorCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALmedicineHumansRadiology Nuclear Medicine and imagingDiagnosis Computer-AssistedRadiological and Ultrasound TechnologyBrain Neoplasmsbusiness.industryReproducibility of ResultsPattern classificationmedicine.diseaseR1EuropeRadiology Nuclear Medicine and imagingFISICA APLICADAArtificial intelligencebusinesscomputerAlgorithmsResearch ArticleMagma
researchProduct

Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis

2011

This tutorial paper introduces a common framework for the evaluation of widely used frequency-domain measures of coupling (coherence, partial coherence) and causality (directed coherence, partial directed coherence) from the parametric representation of linear multivariate (MV) processes. After providing a comprehensive time-domain definition of the various forms of connectivity observed in MV processes, we particularize them to MV autoregressive (MVAR) processes and derive the corresponding frequency-domain measures. Then, we discuss the theoretical interpretation of these MVAR-based connectivity measures, showing that each of them reflects a specific time-domain connectivity definition an…

Multivariate statisticsInformation transferTime FactorsArticle SubjectImmunology and Microbiology (all)Computer scienceBiostatisticslcsh:Computer applications to medicine. Medical informaticsGeneral Biochemistry Genetics and Molecular BiologyCausality (physics)HumansRepresentation (mathematics)Parametric statisticsBiochemistry Genetics and Molecular Biology (all)General Immunology and MicrobiologyMedicine (all)Applied MathematicsMedicine (all); Modeling and Simulation; Immunology and Microbiology (all); Biochemistry Genetics and Molecular Biology (all); Applied MathematicsElectroencephalographySignal Processing Computer-AssistedGeneral MedicineCoherence (statistics)Nonlinear DynamicsAutoregressive modelModeling and SimulationFrequency domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisLinear Modelslcsh:R858-859.7AlgorithmResearch ArticleComputational and Mathematical Methods in Medicine
researchProduct

Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series

2012

The complexity of the short-term cardiovascular control prompts for the introduction of multivariate (MV) nonlinear time series analysis methods to assess directional interactions reflecting the underlying regulatory mechanisms. This study introduces a new approach for the detection of nonlinear Granger causality in MV time series, based on embedding the series by a sequential, non-uniform procedure, and on estimating the information flow from one series to another by means of the corrected conditional entropy. The approach is validated on short realizations of linear stochastic and nonlinear deterministic processes, and then evaluated on heart period, systolic arterial pressure and respira…

Multivariate statisticsSupine positionMultivariate analysisQuantitative Biology::Tissues and OrgansTime delay embeddingPhysics::Medical PhysicsPostureBlood PressureHealth InformaticsCardiovascular Physiological PhenomenaGranger causalityPosition (vector)StatisticsHumansCardiovascular interactionMathematicsConditional entropySeries (mathematics)RespirationModels CardiovascularReproducibility of ResultsSignal Processing Computer-AssistedComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science ApplicationsNonlinear systemNonlinear DynamicsMultivariate AnalysisSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityMultivariate time serieConditional entropyAlgorithmAlgorithms
researchProduct

Detecting nonlinear causal interactions between dynamical systems by non-uniform embedding of multiple time series.

2010

This study introduces a new approach for the detection of nonlinear Granger causality between dynamical systems. The approach is based on embedding the multivariate (MV) time series measured from the systems X and Y by means of a sequential, non-uniform procedure, and on using the corrected conditional entropy (CCE) as unpredictability measure. The causal coupling from X to Y is quantified as the relative decrease of CCE measured after allowing the series of X to enter the embedding procedure for the description of Y. The ability of the approach to quantify nonlinear causality is assessed on MV time series measured from simulated dynamical systems with unidirectional coupling (the Rössler-…

Multivariate statisticsTime FactorsDynamical systems theoryEntropyBiomedical EngineeringMachine learningcomputer.software_genreHumansStatistical physicsTime seriesMathematicsVisual CortexConditional entropyCouplingSignal processingbusiness.industryMagnetoencephalographyReproducibility of ResultsSignal Processing Computer-AssistedSomatosensory CortexNonlinear systemNonlinear DynamicsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisEmbeddingArtificial intelligencebusinesscomputer
researchProduct

Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions.

2010

The Partial Directed Coherence (PDC) and its generalized formulation (gPDC) are popular tools for investigating, in the frequency domain, the concept of Granger causality among multivariate (MV) time series. PDC and gPDC are formalized in terms of the coefficients of an MV autoregressive (MVAR) model which describes only the lagged effects among the time series and forsakes instantaneous effects. However, instantaneous effects are known to affect linear parametric modeling, and are likely to occur in experimental time series. In this study, we investigate the impact on the assessment of frequency domain causality of excluding instantaneous effects from the model underlying PDC evaluation. M…

Multivariate statisticsTime FactorsGeneral Computer ScienceModels NeurologicalPattern Recognition AutomatedCardiovascular Physiological PhenomenaElectrocardiographyGranger causalityArtificial IntelligenceEconometricsCoherence (signal processing)AnimalsHumansComputer SimulationEEGPartial Directed CoherenceMathematicsCausal modelMultivariate autoregressive modelComputer Science (all)Linear modelElectroencephalographySignal Processing Computer-AssistedCardiovascular variabilityAutoregressive modelFrequency domainParametric modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityMultivariate time serieLinear ModelsNeural Networks ComputerBiotechnologyBiological cybernetics
researchProduct

Bandwidth Resource Management for Neural Signal Telemetry

2009

Recent advances in modern neurocomputing have shown the utmost necessity of wireless communication systems that allow real-time (RT) monitoring of neural signals meeting several requirements such as source compression and high fidelity of the received signal. Neural recordings require multielectrode probes with up to hundreds of electrodes and transmission of signals wirelessly over a limited bandwidth (BW). In this paper, a RT resource management algorithm is proposed so that adequate source compression is applied to each channel in order to fit them into the available BW. Performance of the algorithm is analyzed using dynamically changing BW and neural recordings with different neural act…

NeuronsComputer scienceModels NeurologicalReal-time computingSignal Processing Computer-AssistedGeneral MedicineSignalRatsComputer Science ApplicationsBandwidth allocationTransmission (telecommunications)Bandwidth (computing)AnimalsTelemetryResource allocationAlgorithm designElectrical and Electronic EngineeringAlgorithmsCells CulturedMonitoring PhysiologicBiotechnologyData compressionCommunication channelIEEE Transactions on Information Technology in Biomedicine
researchProduct