Search results for "Medical systems"

showing 10 items of 10 documents

Gut Microbiota, Short-Chain Fatty Acids, and Herbal Medicines

2018

As an important source for traditional medical systems such as Ayurvedic medicine and traditional Chinese medicine, herbal medicines have received widespread attentions from all over the world, especially in developing countries. Over the past decade, studies on gut microbiota have generated rich information for understanding how gut microbiota shape the functioning of our body system. In view of the importance of gut microbiota, the researchers engaged in studying herbal medicines have paid more and more attention to gut microbiota and gut microbiota metabolites. Among a variety of gut microbiota metabolites, short-chain fatty acids (SCFAs) have received most attention because of their imp…

0301 basic medicineBody systemPharmacologyAyurvedic medicineTraditional medicinegut microbiotaMini Reviewshort-chain fatty acidslcsh:RM1-950Traditional Chinese medicineBiologyGut florabiology.organism_classificationdigestive system03 medical and health sciencestraditional Chinese medicine030104 developmental biologylcsh:Therapeutics. Pharmacologyherbal medicinesPharmacology (medical)metabolitesMedical systemsFrontiers in Pharmacology
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Modelling swarm-intelligent systems for medical applications

2017

Modeling swarm intelligent systems has attracted attention of researchers over the last decade, as the attributes such as self-organization, self-regulation or collective behavior exhibited by the system entities while following a certain set of rules, can be implemented with the aim at investigating complexity of the problems that an individual would be unable to tackle in real world. In this keynote paper, meta-heuristics and paradigms of modeling swarm-intelligent systems will be discussed with respect to their application areas for medical purposes.

Collective behaviorswarm intelligenceComputer sciencebusiness.industryIntelligent decision support systemCollective intelligenceSwarm behaviourcollective intelligencebioinformaticsSwarm intelligenceSet (abstract data type)modeling medical systemsApplication areasArtificial intelligencebusiness2017 Twelfth International Conference on Digital Information Management (ICDIM)
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International perspectives on radiology practice metrics: Australia, France, Germany, Japan, New Zealand, Spain, the UK and USA.

2014

INTRODUCTION The delivery of health care around the world is remarkably diverse in 2015. A comparison of the approximately 200 national entities on the planet reveals marked differences in national measures, both on the input side, such as health care spending, and in outcomes, such as life span. Using the percentage of gross domestic product as a metric for comparing health care spending, the current variation among nations is almost an order of magnitude, from the Marshall Islands and the United States at close to 20% to Myanmar at about 2% [1]. Outcomes are also highly variable, with an almost 2-fold difference in life span between the best and worst nations [2]. Within the nations repre…

Economic growthInternationalityMEDLINEWorkloadGross domestic productJapanPolitical scienceGermanySurveys and QuestionnairesHealth carePractice Management MedicalHumansRadiology Nuclear Medicine and imagingMedical systemsLife spanbusiness.industrySalaries and Fringe BenefitsLiabilityAustraliaInsurance LiabilityWork (electrical)SpainMeasure outcomesOptometryFrancebusinessRadiologyNew ZealandSpecializationJournal of the American College of Radiology : JACR
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Detection of Ventricular Fibrillation Using the Image from Time-Frequency Representation and Combined Classifiers without Feature Extraction

2018

Due the fact that the required therapy to treat Ventricular Fibrillation (V F) is aggressive (electric shock), the lack of a proper detection and recovering therapy could cause serious injuries to the patient or trigger a ventricular fibrillation, or even death. This work describes the development of an automatic diagnostic system for the detection of the occurrence of V F in real time by means of the time-frequency representation (T F R) image of the ECG. The main novelties are the use of the T F R image as input for a classification process, as well as the use of combined classifiers. The feature extraction stage is eliminated and, together with the use of specialized binary classifiers, …

ElectrodiagnòsticECG electrocardiogram signalsComputer science0206 medical engineeringFeature extraction02 engineering and technologycombined classification algorithmslcsh:TechnologyImage (mathematics)lcsh:ChemistryTime–frequency representationimage analysisvoting majority method classifiersnon-stationary signalstime-frequency representation0202 electrical engineering electronic engineering information engineeringmedicineGeneral Materials ScienceInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processesbusiness.industrybiomedical systemslcsh:TProcess Chemistry and TechnologyGeneral EngineeringPattern recognitionmedicine.disease020601 biomedical engineeringlcsh:QC1-999Computer Science ApplicationsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Ventricular fibrillationEnginyeria biomèdica020201 artificial intelligence & image processingArtificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)hierarchical classifiersImatges Processament Tècniques digitalslcsh:PhysicsApplied Sciences
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Influence of noise sources on FitzHugh-Nagumo model in suprathreshold regime

2005

We study the response time of a neuron in the transient regime of FitzHugh-Nagumo model, in the presence of a suprathreshold signal and noise sources. In the deterministic regime we find that the activation time of the neuron has a minimum as a function of the signal driving frequency. In the stochastic regime we consider two cases: (a) the fast variable of the model is noisy, and (b) the slow variable, that is the recovery variable, is subjected to fluctuations. In both cases we find two noise-induced effects, namely the resonant activation-like and the noise enhanced stability phenomena. The role of these noise-induced effects is analyzed. The first one produces suppression of noises, whi…

FitzHugh-Nagumo modelInfluence of noise sourceProc. SPIEFluctuations and Noise in Biological Biophysical and Biomedical Systems III
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Extension of Electron Monte Carlo Dose Calculation in Eclipse to Siemens Linear Accelerators

2009

Initially, the implementation of the macro Monte Carlo (MC) method into Eclipse (Varian Medical Systems), named eMC, was carried out for Varian accelerators only. In this work eMC algorithm has been modified to allow also accurate dose calculations for electron beams for Siemens accelerators.

PhysicsDose calculationNuclear TheoryHigh Energy Physics::PhenomenologyPhysics::Medical PhysicsSiemensMonte Carlo methodPhysics::Accelerator PhysicsElectronLinear particle acceleratorEclipseMedical systemsComputational physics
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Evolution of the adaptogenic concept from traditional use to medical systems: Pharmacology of stress‐ and aging‐related diseases

2020

Abstract Adaptogens comprise a category of herbal medicinal and nutritional products promoting adaptability, resilience, and survival of living organisms in stress. The aim of this review was to summarize the growing knowledge about common adaptogenic plants used in various traditional medical systems (TMS) and conventional medicine and to provide a modern rationale for their use in the treatment of stress‐induced and aging‐related disorders. Adaptogens have pharmacologically pleiotropic effects on the neuroendocrine‐immune system, which explain their traditional use for the treatment of a wide range of conditions. They exhibit a biphasic dose‐effect response: at low doses they function as …

Premature agingAgingmedia_common.quotation_subjectmedicine.medical_treatmentReview ArticleAdaptabilitystress03 medical and health sciences0302 clinical medicineNetwork pharmacologyDrug DiscoveryAdaptogennetwork pharmacologyHumansMedicineethnopharmacologyResilience (network)Review Articles030304 developmental biologymedia_commonMedical systemsPharmacology0303 health sciencesPlant Extractsbusiness.industry3. Good healthadaptogenRisk analysis (engineering)030220 oncology & carcinogenesisMolecular MedicineTraditional UsebusinessSignal TransductionSystems pharmacologyMedicinal Research Reviews
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Identification of Replicator Mutator models

2006

The complexity of biology literally calls for quantitative tools in order to support and validate biologists intuition and traditional qualitative descriptions. In this paper, the Replicator-Mutator models for Evolutionary Dynamics are validated/invalidated in a worst-case deterministic setting. These models analyze the DNA and RNA evolution or describe the population dynamics of viruses and bacteria. We identify the Fitness and the Replication Probability parameters of a genetic sequences, subject to a set of stringent constraints to have physical meaning and to guarantee positiveness. The conditional central estimate is determined in order to validate/invalidate the model. The effectivene…

education.field_of_studyTheoretical computer sciencePopulationGenomicsPositive systemsBioinformaticsSet (abstract data type)Identification (information)virus populationsModels of DNA evolutionReplication (statistics)VirusesRNA VirusesEvolutionary dynamicseducationBiomedical systems; Evolutionary dynamics; Nonlinear systems; Positive systems; Uncertain dynamical systems;
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Ventricular Fibrillation detection using time-frequency and the KNN classifier without parameter extraction

2017

[ES] Este trabajo propone la detección de FV y su discriminación de TV y otros ritmos cardiacos basándose en la representación tiempo-frecuencia del ECG y su conversión en imágen como entrada a un clasificador de vecinos más cercanos (KNN) sin necesidad de extracción de parámetros adicionales. Tres variantes de datos de entrada al clasificador son evaluados. Los resultados clasifican la señal en cuatro clases diferentes: ’Normal’ para latidos con ritmo sinusal, ’FV’ para fibrilación ventricular, ’TV’ para taquicardia ventricular y ’Otros’ para el resto de ritmos. Los resultados para detección de FV mostraron 88,27% de sensibilidad y 98,22% de especificidad para la entrada de imágen equivale…

medicine.medical_specialtyBiomedical systemsGeneral Computer ScienceSeñales no estacionarias0206 medical engineeringTime-frequency representationClasificación02 engineering and technologyElectrocardiographic signalsVentricular tachycardiaNon-stationary signalsImage analysisAnálisis de imágenesInternal medicine0202 electrical engineering electronic engineering information engineeringmedicineSinus rhythmSistemas biomédicosbusiness.industrySeñales ElectrocardiográficasClassificationmedicine.disease020601 biomedical engineeringRepresentación tiempo-frecuenciaControl and Systems EngineeringSignal parameterVentricular fibrillationCardiology020201 artificial intelligence & image processingbusinessRevista Iberoamericana de Automática e Informática industrial
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Students’ experiences of reflective writing in physiotherapy education

2015

band through the big fingers and the first toes and instructed them to extend the band as much as possible (band exercise). Each exercise was to be performed on alternate days. Before exrcise, we obtained MR imaging using Achieva 3.0T MRI (Philips Medical Systems, Best, Netherland). The imaging technique was T2 star (repetition time, 500ms; echo time, 0.703ms; field-of-view, 480mm). After scanning, participants performed each exercise in the MRI machine. For a duration of 5min, each exercise was performed at an interval of 10 s; MRI was conducted immediately after exercise. The OsiriX imaging software was used for analysis, and we circled region of interest (ROI) multifidus muscles and the …

medicine.medical_specialtyMedical educationPhysiotherapy educationbusiness.industryEcho timeRepeated measures designPhysical Therapy Sports Therapy and RehabilitationTraining methodsMr imagingLumbarPhysical medicine and rehabilitationRegion of interestMedicinebusinessMedical systemsPhysiotherapy
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