Search results for "20(60)"

showing 10 items of 368 documents

In vitroandin vivoenhancement of osteogenic capacity in a synthetic BMP-2 derived peptide-coated mineralized collagen composite

2013

Enhancement of osteogenic capacity was achieved in a mineralized collagen composite, nano-hydroxyapatite/collagen (nHAC), by loading with synthetic peptides derived from BMP-2 residues 32-48 (P17-BMP-2). Rabbit marrow stromal cells (MSCs) were used in vitro to study cell biocompatibility, attachment and differentiation on the mineralized collagen composite by a cell counting kit, scanning electron microscopy (SEM) and real-time reversed transcriptase-polymerase chain reaction analysis (RT-PCR). Optimal peptide dosage (1.0 µg/mL) was obtained by RT-PCR analysis in vitro. In addition, the relative expression level of OPN and OCN was significantly upregulated on P17-BMP-2/nHAC compared with nH…

Stromal cellBiocompatibilityChemistry0206 medical engineeringMesenchymal stem cellBiomedical EngineeringMedicine (miscellaneous)02 engineering and technologyBone healing021001 nanoscience & nanotechnology020601 biomedical engineeringBone morphogenetic protein 2Molecular biologyIn vitroBiomaterialsIn vivo0210 nano-technologyBone regenerationBiomedical engineeringJournal of Tissue Engineering and Regenerative Medicine
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Photocrosslinkable polysaccharide hydrogel composites based on dextran or pullulan-amylose blends with cytokines for a human co-culture model of huma…

2016

Although a large body of research has been devoted to biomaterial development for bone tissue engineering and related medical disciplines in the last few years, novel and optimized materials especially for bone fractures of critical sizes demand continued development. In this respect, polysaccharide-based hydrogels demonstrate beneficial properties and fulfill the main requirements for a bone tissue scaffold as they are hydrophilic, biocompatible, and biodegradable. The aim of the present study was the development of a natural polysaccharide-based scaffold material that can integrate with the host tissue and support bone regeneration. For this purpose, we prepared and investigated two polym…

Stromal cellMaterials sciencemedicine.medical_treatment0206 medical engineeringBiomedical EngineeringIngenieurwissenschaften [620]02 engineering and technologyBone tissueBone morphogenetic proteinchemistry.chemical_compoundPolymer chemistrymedicineGeneral Materials ScienceBone regenerationGrowth factorBiomaterialPullulanGeneral ChemistryGeneral Medicine021001 nanoscience & nanotechnology020601 biomedical engineering620620: Ingenieurwissenschaftenmedicine.anatomical_structurechemistrySelf-healing hydrogelsBiophysicsddc:6200210 nano-technology
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Effect of proanthocyanidin mediated immediate and delayed dentin sealing on the strength of premolars restored with composite resin inlay.

2019

Background Immediate dentin sealing (IDS) with proanthocyanidin (PA) could be used before cementation with a self-adhesive (SA) cement. The aim of this study was to assess the effect of PA treatment on acid-etched dentin before adhesive application, in IDS and delayed dentin sealing (DDS), on the strengthening property of SA-cemented composite resin inlay in premolars. Material and Methods Eighty-four maxillary premolars were divided into 7 groups (n=12): 1) (Intact) Sound teeth served as controls; groups 2-7) After cavity preparation and fabrication of composite resin inlay, temporary inlays were made and cemented. After one week, the inlays were removed and composite inlays were luted wit…

Study groupsMaterials science0206 medical engineeringComposite numberDentistry02 engineering and technologyOperative Dentistry and Endodontics03 medical and health sciences0302 clinical medicinestomatognathic systemDentinmedicineGeneral DentistryResin cementInlaybusiness.industryResearchSignificant differencetechnology industry and agriculture030206 dentistryCementation (geology):CIENCIAS MÉDICAS [UNESCO]020601 biomedical engineeringmedicine.anatomical_structureUNESCO::CIENCIAS MÉDICASAdhesivebusinessJournal of clinical and experimental dentistry
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Reliability of Short-Term Heart Rate Variability Indexes Assessed through Photoplethysmography

2018

The gold standard method to monitor heart rate variability (HRV) comprises measuring the time series of interbeat interval durations from electrocardiographic (ECG) recordings. However, due to the widespread use, simplicity and usability of photoplethysmographic (PPG) techniques, monitoring pulse rate variability (PRV) from pulse wave recordings has become a viable alternative to standard HRV analysis. The present study investigates the accuracy of PRV, measured as a surrogate of HRV, for the quantification of descriptive indexes computed in the time domain (mean, variance), frequency domain (low-to-high frequency power ratio LF/HF, HF band central frequency) and information domain (entropy…

Supine positionEntropy0206 medical engineeringBiomedical EngineeringHealth Informatics02 engineering and technologySettore ING-INF/01 - ElettronicaRobust regressionElectrocardiography03 medical and health sciences0302 clinical medicineHeart RatePhotoplethysmogramStatisticsHumansHeart rate variabilityTime domainPhotoplethysmographyMathematicsConditional entropyReproducibility of Results020601 biomedical engineeringFrequency domainSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E Informatica030217 neurology & neurosurgeryInterbeat interval
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Deep learning approach for prediction of impact peak appearance at ground reaction force signal of running activity

2020

Protruding impact peak is one of the features of vertical ground reaction force (GRF) that is related to injury risk while running. The present research is dedicated to predicting GRF impact peak appearance by setting a binary classification problem. Kinematic data, namely a number of raw signals in the sagittal plane, collected by the Vicon motion capture system (Oxford Metrics Group, UK) were employed as predictors. Therefore, the input data for the predictive model are presented as a multi-channel time series. Deep learning techniques, namely five convolutional neural network (CNN) models were applied to the binary classification analysis, based on a Multi-Layer Perceptron (MLP) classifi…

Support Vector MachinerasitusvammatComputer science02 engineering and technologyneuroverkotliikkeenkaappausConvolutional neural networkRunning0302 clinical medicineCluster Analysis315 Sport and fitness sciencesbinary classificationrisk assessmentSignal Processing Computer-AssistedGeneral MedicineComputer Science ApplicationsRandom forestkoneoppiminenBinary classificationRUNNERSbiomekaniikkaAlgorithmsCNNforce platform0206 medical engineeringBiomedical EngineeringBioengineeringjuoksu03 medical and health sciencesDeep LearningClassifier (linguistics)HumansliikeanalyysiGround reaction forcerunning gait analysisbusiness.industryDeep learningPattern recognition030229 sport sciencesPerceptron113 Computer and information sciences020601 biomedical engineeringHuman-Computer InteractionSupport vector machineLogistic ModelsComputingMethodologies_PATTERNRECOGNITIONINJURIESArtificial intelligenceNeural Networks Computerbusiness
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Seven Mathematical Models of Hemorrhagic Shock

2021

Although mathematical modelling of pressure-flow dynamics in the cardiocirculatory system has a lengthy history, readily finding the appropriate model for the experimental situation at hand is often a challenge in and of itself. An ideal model would be relatively easy to use and reliable, besides being ethically acceptable. Furthermore, it would address the pathogenic features of the cardiovascular disease that one seeks to investigate. No universally valid model has been identified, even though a host of models have been developed. The object of this review is to describe several of the most relevant mathematical models of the cardiovascular system: the physiological features of circulator…

Systems AnalysisComputer scienceRespiratory SystemComputer applications to medicine. Medical informatics0206 medical engineeringR858-859.7Blood PressureReview Article02 engineering and technologyShock Hemorrhagic030204 cardiovascular system & hematologyKey issuesCardiovascular SystemSettore ING-INF/01 - ElettronicaGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicineHemorrhagic ShockHumansComputer SimulationVascular hemodynamicsSettore MAT/07 - Fisica MatematicaGeneral Immunology and MicrobiologyMathematical modelManagement scienceApplied MathematicsScale (chemistry)HemodynamicsModels CardiovascularComputational BiologyMathematical ConceptsGeneral Medicine020601 biomedical engineeringBiomechanical PhenomenaCardiovascular modelModeling and SimulationSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaHemorrhagic shockCardiovascular dynamicsmathematical modelComputational and Mathematical Methods in Medicine
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Mechanical Regulation of the Cytotoxic Activity of Natural Killer Cells

2020

AbstractMechanosensing has been recently explored for T cells and B cells and is believed to be part of their activation mechanism. Here, we explore the mechanosensing of the third type of lymphocytes – Natural Killer (NK) cells, by showing that they modulate their immune activity in response to changes in the stiffness of a stimulating surface. Interestingly, we found that this immune response is bell-shaped, and peaks for a stiffness of a few hundreds of kPa. This bell-shape behavior was observed only for surfaces functionalized with the activating ligand MHC class I polypeptide-related sequence A (MICA), but not for control surfaces lacking immunoactive functionalities. We found that sti…

T-LymphocytesLymphocyte0206 medical engineeringPopulationCellBiomedical Engineering02 engineering and technologyLigandsMajor histocompatibility complexBiomaterialsCell membraneImmune systemMHC class ImedicineCytotoxic T cellReceptors Immunologiceducationeducation.field_of_studyMechanosensationbiologyChemistryHistocompatibility Antigens Class I021001 nanoscience & nanotechnologyNKG2D020601 biomedical engineeringCell biologyKiller Cells Naturalmedicine.anatomical_structurebiology.proteinReceptor clustering0210 nano-technology
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Time, frequency and information domain analysis of short-term heart rate variability before and after focal and generalized seizures in epileptic chi…

2019

OBJECTIVE In this work we explore the potential of combining standard time and frequency domain indexes with novel information measures, to characterize pre- and post-ictal heart rate variability (HRV) in epileptic children, with the aim of differentiating focal and generalized epilepsy regarding the autonomic control mechanisms. APPROACH We analyze short-term HRV in 37 children suffering from generalized or focal epilepsy, monitored 10 s, 300 s, 600 s and 1800 s both before and after seizure episodes. Nine indexes are computed in time (mean, standard deviation of normal-to-normal intervals, root mean square of the successive differences (RMSSD)), frequency (low-to-high frequency power rati…

TachycardiaMalefocal epilepsymedicine.medical_specialtyPhysiology0206 medical engineeringBiomedical EngineeringBiophysicsHeart Rate Variability02 engineering and technologyAutonomic Nervous SystemSettore ING-INF/01 - ElettronicaStandard deviation03 medical and health sciencesEpilepsy0302 clinical medicineHeart RateSeizuresPhysiology (medical)Internal medicinemedicineHeart rate variabilityHumansClinical significanceGeneralized epilepsyChildgeneralized epilepsybusiness.industryLinear discriminant analysismedicine.disease020601 biomedical engineeringTime–frequency analysisSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaCardiologyFemalemedicine.symptombusinesscomplexity030217 neurology & neurosurgery
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Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps

2017

Non-invasive localization of continuous atrial ectopic beats remains a cornerstone for the treatment of atrial arrhythmias. The lack of accurate tools to guide electrophysiologists leads to an increase in the recurrence rate of ablation procedures. Existing approaches are based on the analysis of the P-waves main characteristics and the forward body surface potential maps (BSPMs) or on the inverse estimation of the electric activity of the heart from those BSPMs. These methods have not provided an efficient and systematic tool to localize ectopic triggers. In this work, we propose the use of machine learning techniques to spatially cluster and classify ectopic atrial foci into clearly diffe…

TachycardiaPhysiologyComputer sciencemedicine.medical_treatment02 engineering and technology030204 cardiovascular system & hematologyBioinformaticsBiochemistryACTIVATIONElectrocardiography0302 clinical medicineHeart RateAtrial FibrillationMedicine and Health SciencesImage Processing Computer-AssistedDEPOLARIZATIONBody surface P-wave integral mapsCardiac AtriaAtrial ectopic beatsMultidisciplinarymedicine.diagnostic_testORIGINApplied MathematicsSimulation and ModelingP waveBody Surface Potential MappingQRHeartHUMANSaarhythmiasAblationANATOMYBioassays and Physiological Analysismachine learningPhysical SciencesAtrial ectopic beatsMedicineAtrial Premature ComplexesFIBRILLATIONmedicine.symptomTACHYCARDIAAlgorithmsResearch ArticleclusteringTachycardia Ectopic AtrialComputer and Information SciencesSVMScienceCORONARY-SINUS0206 medical engineeringCardiologyResearch and Analysis MethodsMembrane PotentialTECNOLOGIA ELECTRONICAMachine Learning Algorithms03 medical and health sciencesArtificial IntelligenceHeart Conduction SystemSupport Vector MachinesBody surfacemedicineComputer SimulationHeart AtriaCoronary sinusFibrillationbusiness.industryElectrophysiological TechniquesBiology and Life SciencesPattern recognitionAtrial arrhythmiasELECTROPHYSIOLOGY020601 biomedical engineeringMODELElectrophysiologyCardiovascular AnatomyCardiac ElectrophysiologyArtificial intelligencebusinessElectrocardiographyBiomarkersMathematics
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Ventricular Fibrillation and Tachycardia detection from surface ECG using time-frequency representation images as input dataset for machine learning

2017

Parameter-less ventricular fibrillation detection with time-frequency representation.Time-frequency representations are treated as images for a classifier.A comparison for four classifiers demonstrates the validity of the proposed method.The proposed technique could be applied to any signal and research field.This is a novel approach to signal analysis. Background and objectiveTo safely select the proper therapy for Ventricullar Fibrillation (VF) is essential to distinct it correctly from Ventricular Tachycardia (VT) and other rhythms. Provided that the required therapy would not be the same, an erroneous detection might lead to serious injuries to the patient or even cause Ventricular Fibr…

TachycardiaSupport Vector MachineComputer scienceSpeech recognition0206 medical engineeringDatasets as TopicHealth Informatics02 engineering and technologyVentricular tachycardiaMachine learningcomputer.software_genreMachine LearningElectrocardiographyTachycardia0202 electrical engineering electronic engineering information engineeringmedicineHumansFibrillationbusiness.industrySignal Processing Computer-AssistedPattern recognitionmedicine.disease020601 biomedical engineeringComputer Science ApplicationsVentricular FibrillationVentricular fibrillation020201 artificial intelligence & image processingNeural Networks ComputerArtificial intelligencemedicine.symptombusinessClassifier (UML)computerSoftwareComputer Methods and Programs in Biomedicine
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