Search results for "Biomedical"

showing 10 items of 2328 documents

Alterations in the Microstructure of the Anterior Mitral Valve Leaflet Under Physiological Stress

2012

An improved understanding of mitral valve (MV) function remains an important goal for determining mechanisms underlying valve disease and for developing novel therapies. Critical to heart valve tissue homeostasis is the valvular interstitial cells (VICs), which reside in the interstitium and maintain the extracellular matrix (ECM) through both protein synthesis and enzymatic degradation [1]. There is scant quantitative experimental data on the alterations of the MV fiber network reorganization as a function of load, which is critical for implementation of computational strategies that attempt to link this meso-micro scale phenomenon. The observed large scale deformations experienced by VICs…

Extracellular matrixMaterials sciencemedicine.anatomical_structureMitral valvemedicineFiber networkMechanotransductionHeart valve tissuePhysiological stressHomeostasisCell biologyBiomedical engineeringMitral valve leafletASME 2012 Summer Bioengineering Conference, Parts A and B
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Exposure to radial extracorporeal shockwaves induces muscle regeneration after muscle injury in a surgical rat model

2019

The leading cause of training interruption in sport is a muscle injury, for which the standard treatment is nonsteroidal anti-inflammatory drugs (NSAIDs). To find alternative treatments, we investigated whether the radial extracorporeal shockwave application (rESWT) could stimulate muscle regeneration. A lesion with complete rupture (grade III muscle tear) was set in the musculus rectus femoris of 12-week-old Wistar rats, and the NSAID diclofenac, rESWT, or a combined therapy were applied on day 0, 3, and 5 directly following the surgery. Rats were euthanized at 2, 4, and 7 days after surgery and the area of muscle lesion was excised for histological and gene expression analysis to determin…

Extracorporeal Shockwave TherapyMalemedicine.medical_specialty0206 medical engineeringMuscle Fibers SkeletalUrologyH&E stain610 MedizinNeovascularization Physiologic02 engineering and technologyMyoDExtracorporealLesion03 medical and health sciences0302 clinical medicineDiclofenacDownregulation and upregulation610 Medical sciencesMyosinmedicineAnimalsPaired Box Transcription FactorsRegenerationOrthopedics and Sports MedicineRats WistarMuscle SkeletalMyoD Protein030203 arthritis & rheumatologyWound Healingbusiness.industryStandard treatmentAnti-Inflammatory Agents Non-Steroidal020601 biomedical engineeringRatsAthletic Injuriesmedicine.symptombusinessmedicine.drug
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Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop

2018

Active inference is an ambitious theory that treats perception, inference and action selection of autonomous agents under the heading of a single principle. It suggests biologically plausible explanations for many cognitive phenomena, including consciousness. In active inference, action selection is driven by an objective function that evaluates possible future actions with respect to current, inferred beliefs about the world. Active inference at its core is independent from extrinsic rewards, resulting in a high level of robustness across e.g.\ different environments or agent morphologies. In the literature, paradigms that share this independence have been summarised under the notion of in…

FOS: Computer and information sciencesComputer scienceComputer Science - Artificial Intelligencepredictive informationBiomedical EngineeringInferenceSystems and Control (eess.SY)02 engineering and technologyAction selectionI.2.0; I.2.6; I.5.0; I.5.1lcsh:RC321-57103 medical and health sciences0302 clinical medicineactive inferenceArtificial IntelligenceFOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringFormal concept analysisMethodsperception-action loopuniversal reinforcement learningintrinsic motivationlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryFree energy principleCognitive scienceRobotics and AII.5.0I.5.1I.2.6Partially observable Markov decision processI.2.0Artificial Intelligence (cs.AI)Action (philosophy)empowermentIndependence (mathematical logic)free energy principleComputer Science - Systems and Control020201 artificial intelligence & image processingBiological plausibility62F15 91B06030217 neurology & neurosurgeryvariational inference
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Multiscale analysis of information dynamics for linear multivariate processes.

2016

In the study of complex physical and physiological systems represented by multivariate time series, an issue of great interest is the description of the system dynamics over a range of different temporal scales. While information-theoretic approaches to the multiscale analysis of complex dynamics are being increasingly used, the theoretical properties of the applied measures are poorly understood. This study introduces for the first time a framework for the analytical computation of information dynamics for linear multivariate stochastic processes explored at different time scales. After showing that the multiscale processing of a vector autoregressive (VAR) process introduces a moving aver…

FOS: Computer and information sciencesInformation transferMultivariate statisticsMultivariate analysisComputer scienceComputer Science - Information Theory0206 medical engineeringStochastic ProcesseBiomedical EngineeringFOS: Physical sciencesInformation Storage and RetrievalHealth Informatics02 engineering and technology01 natural sciencesEntropy (classical thermodynamics)Moving average0103 physical sciencesEntropy (information theory)Computer SimulationStatistical physicsEntropy (energy dispersal)Time series010306 general physicsEntropy (arrow of time)Multivariate Analysi1707Stochastic ProcessesEntropy (statistical thermodynamics)Stochastic processInformation Theory (cs.IT)Probability and statisticsModels Theoretical020601 biomedical engineeringComplex dynamicsAutoregressive modelPhysics - Data Analysis Statistics and ProbabilitySignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisData Analysis Statistics and Probability (physics.data-an)Entropy (order and disorder)Annual 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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Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI

2015

Objectives: We develop a framework for the analysis of synergy and redundancy in the pattern of information flow between subsystems of a complex network. Methods: The presence of redundancy and/or synergy in multivariate time series data renders difficult to estimate the neat flow of information from each driver variable to a given target. We show that adopting an unnormalized definition of Granger causality one may put in evidence redundant multiplets of variables influencing the target by maximizing the total Granger causality to a given target, over all the possible partitions of the set of driving variables. Consequently we introduce a pairwise index of synergy which is zero when two in…

FOS: Computer and information sciencesgranger causality (GC)Multivariate statisticsComputer scienceRestComputer Science - Information TheoryBiomedical EngineeringsynergyFOS: Physical sciencescomputer.software_genre01 natural sciences03 medical and health sciences0302 clinical medicineGranger causality0103 physical sciencesConnectomeRedundancy (engineering)HumansBrain connectivityTime series010306 general physicsModels StatisticalHuman Connectome ProjectResting state fMRIredundancybusiness.industryInformation Theory (cs.IT)functional magnetic resonance imaging (fMRI)BrainPattern recognitionComplex networkMagnetic Resonance ImagingVariable (computer science)Physics - Data Analysis Statistics and ProbabilityQuantitative Biology - Neurons and CognitionFOS: Biological sciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaPairwise comparisonNeurons and Cognition (q-bio.NC)Artificial intelligenceData miningNerve Netbusinesscomputer030217 neurology & neurosurgeryData Analysis Statistics and Probability (physics.data-an)
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A rule‐based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts

2019

Rule-based methods are often used for assigning fiber orientation to cardiac anatomical models. However, existing methods have been developed using data mostly from the left ventricle. As a consequence, fiber information obtained from rule-based methods often does not match histological data in other areas of the heart such as the right ventricle, having a negative impact in cardiac simulations beyond the left ventricle. In this work, we present a rule-based method where fiber orientation is separately modeled in each ventricle following observations from histology. This allows to create detailed fiber orientation in specific regions such as the endocardium of the right ventricle, the inter…

FOS: Computer and information sciencesmedicine.medical_specialtyHeart VentriclesBiomedical EngineeringFOS: Physical sciencesVolume mesh030204 cardiovascular system & hematology[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]030218 nuclear medicine & medical imagingComputational Engineering Finance and Science (cs.CE)03 medical and health sciences0302 clinical medicineRule-based methodInternal medicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingmedicineHumansComputer SimulationElectrophysiological simulationsInterventricular septumOutflow tractComputer Science - Computational Engineering Finance and ScienceMolecular BiologyEndocardiumFiber (mathematics)Orientation (computer vision)MyocardiumApplied MathematicsFiber orientationOutflow tract ventricular arrhythmiaModels CardiovascularRule-based systemSeptumMagnetic Resonance Imaging[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationPhysics - Medical PhysicsElectrophysiological Phenomenamedicine.anatomical_structureComputational Theory and MathematicsVentricleModeling and Simulationcardiovascular systemCardiologyOutflowMedical Physics (physics.med-ph)SoftwareGeologyInternational Journal for Numerical Methods in Biomedical Engineering
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Multiscale partial information decomposition of dynamic processes with short and long-range correlations: theory and application to cardiovascular co…

2022

Abstract Objective. In this work, an analytical framework for the multiscale analysis of multivariate Gaussian processes is presented, whereby the computation of Partial Information Decomposition measures is achieved accounting for the simultaneous presence of short-term dynamics and long-range correlations. Approach. We consider physiological time series mapping the activity of the cardiac, vascular and respiratory systems in the field of Network Physiology. In this context, the multiscale representation of transfer entropy within the network of interactions among Systolic arterial pressure (S), respiration (R) and heart period (H), as well as the decomposition into unique, redundant and s…

FOS: Computer and information sciencesmultivariate time seriesPhysiologyEntropyRespirationBiomedical EngineeringBiophysicsheart rate variabilitytransfer entropyredundancy and synergyBlood PressureHeartQuantitative Biology - Quantitative MethodsCardiovascular SystemMethodology (stat.ME)Heart RatePhysiology (medical)FOS: Biological sciencesCardiovascular controlSettore ING-INF/06 - Bioingegneria Elettronica E Informaticavector autoregressive fractionally integrated (VARFI) modelsHumansQuantitative Methods (q-bio.QM)Statistics - MethodologyPhysiological measurement
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Need for lateral bone augmentation at two narrow-diameter implants: A prospective, controlled, clinical study.

2021

To detect the potential influence of implant diameter and anatomic factors on the need for bone augmentation procedures (BAPs) when replacing congenitally missing lateral incisors (MLIs).Patients with congenitally missing MLIs with a mesio-distal distance between the canine and the central incisor of 5.9-6.3 mm received a Ø2.9 mm implant while Ø3.3 mm implants were placed when the distance was 6.4-7.1 mm. The following linear measurements were recorded using a calliper: width of the alveolar process (WAP), width of the bony alveolar ridge (WAR) and thickness of the facial bone after implant osteotomy (TFB). Guided bone regeneration was performed in case of fenestration- or dehiscence-type d…

Facial boneBone Regenerationmedicine.medical_treatment0206 medical engineering02 engineering and technologyOsteotomyBone augmentationClinical study03 medical and health sciences0302 clinical medicineAlveolar ProcessMedicineHumansMaxillary central incisorProspective StudiesBone regenerationOrthodonticsDental Implantsbusiness.industryAlveolar processDental Implantation Endosseous030206 dentistryAlveolar Ridge Augmentation020601 biomedical engineeringmedicine.anatomical_structureImplantOral SurgerybusinessClinical oral implants researchREFERENCES
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Remote heart rate variability for emotional state monitoring

2018

International audience; Several researches have been conducted to recognize emotions using various modalities such as facial expressions , gestures, speech or physiological signals. Among all these modalities, physiological signals are especially interesting because they are mainly controlled by the autonomic nervous system. It has been shown for example that there is an undeniable relationship between emotional state and Heart Rate Variability (HRV). In this paper, we present a methodology to monitor emotional state from physiological signals acquired remotely. The method is based on a remote photoplethysmography (rPPG) algorithm that estimates remote Heart Rate Variability (rHRV) using a …

Facial expressionModalities[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceSpeech recognition020208 electrical & electronic engineering0206 medical engineering[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020601 biomedical engineeringSignal[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingFeature (computer vision)Frequency domainPhotoplethysmogram0202 electrical engineering electronic engineering information engineeringHeart rate variabilityGesture
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Facial Expressions to Evaluate Advertising: A Laboratory versus Living Room Study

2017

In recent years researchers have shown growing interest in the impact of emotions in television commercials and in advertising in general (Park and Thorson, 1990). Emotions also influence the attitude towards the brand and to the ad (Batney and Ray, 1986; Edell and Burke, 1987; Derbaix, 1995), increase the attention of the advertisement (Olney, Hobrook and Bartra, 1991), and brand recall (Stayman and Batra, 1991).

Facial expressionRecall0206 medical engineering05 social sciences0501 psychology and cognitive sciencesAdvertising050102 behavioral science & comparative psychology02 engineering and technologyExplicit methodLiving roomPsychology020601 biomedical engineering
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