Search results for "Entropy"

showing 10 items of 496 documents

Thermodynamic Characterization Of Two Layers Of CO2 On A Graphite Surface

2014

We find by examination of density profiles that carbon dioxide adsorbs on graphite in two distinct layers. We report the activity coefficient, entropy and enthalpy for CO2 in each layer using a convenient computational method, the Small System Method, thereby extending this method to surfaces. This opens up the possibility to study thermodynamic properties for a wide range of surface phenomena. © 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

Activity coefficientEntropy (classical thermodynamics)ChemistryEnthalpyGeneral Physics and AstronomyThermodynamicsNanotechnologyGraphitePhysics and Astronomy(all)Physical and Theoretical ChemistryPhysics::Chemical Physics
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Study of Selective Adsorption of Gases by Calorimetry

2013

This chapter is devoted to the study of coadsorption of gases in nanoporous solids by using the differential calorimetry. In the first part, the thermodynamic principles of adsorption of gases are recalled. Some of them have already presented in chapter one. However a special attention has been paid here to the determination of the adsorption enthalpies and entropies and we focused on the selective adsorption of binary mixtures. Then the specific experimental technique based on the combination of differential calorimetry with manometry and gas phase chromatography or mass spectrometry is shown in details. In the last part, the thermodynamic concepts on coadsorption are illustrated with expe…

AdsorptionStandard molar entropyChemistryNanoporousSelective adsorptionAnalytical chemistryThermodynamicsCalorimetryMicroporous materialGas separationMass spectrometry
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Entropy of balance--some recent results.

2010

Abstract Background Entropy when applied to biological signals is expected to reflect the state of the biological system. However the physiological interpretation of the entropy is not always straightforward. When should high entropy be interpreted as a healthy sign, and when as marker of deteriorating health? We address this question for the particular case of human standing balance and the Center of Pressure data. Methods We have measured and analyzed balance data of 136 participants (young, n = 45; elderly, n = 91) comprising in all 1085 trials, and calculated the Sample Entropy (SampEn) for medio-lateral (M/L) and anterior-posterior (A/P) Center of Pressure (COP) together with the Hurst…

AdultAgingAdolescentHealth InformaticsModels Psychologicallcsh:RC321-571Developmental psychologyYoung AdultPhysical StimulationStatisticsPostural BalancePressureEntropy (information theory)HumansAttentionlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryEyes openPostural BalanceAgedAged 80 and overResearchSignificant differenceRehabilitationMiddle AgedSample entropyStanding balanceDetrended fluctuation analysisExponentVisual PerceptionAccidental FallsPsychologyJournal of neuroengineering and rehabilitation
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Quantifying foot placement variability and dynamic stability of movement to assess control mechanisms during forward and lateral running

2015

Research has indicated that human walking is more unstable in the secondary, rather than primary plane of progression. However, the mechanisms of controlling dynamic stability in different planes of progression during running remain unknown. The aim of this study was to compare variability (standard deviation and coefficient of variation) and dynamic stability (sample entropy and local divergence exponent) in anterior–posterior and medio-lateral directions in forward and lateral running patterns. For this purpose, fifteen healthy, male participants ran in a forward and lateral direction on a treadmill at their preferred running speeds. Coordinate data of passive reflective markers attached …

AdultMaleComputer scienceBiomedical EngineeringBiophysicsWalkingStability (probability)Motion captureStandard deviationYoung Adultnonlinear dynamicsGait (human)Transition from walking to runningControl theorydynamic stabilityrunningmotor controlHumansOrthopedics and Sports MedicineTreadmillta315GaitSimulationFootvariabilityRehabilitationMotor controlSample entropyExercise TestJournal of Biomechanics
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Neural net classification of REM sleep based on spectral measures as compared to nonlinear measures

2001

In various studies the implementation of nonlinear and nonconventional measures has significantly improved EEG (electroencephalogram) analyses as compared to using conventional parameters alone. A neural network algorithm well approved in our laboratory for the automatic recognition of rapid eye movement (REM) sleep was investigated in this regard. Originally based on a broad range of spectral power inputs, we additionally supplied the nonlinear measures of the largest Lyapunov exponent and correlation dimension as well as the nonconventional stochastic measures of spectral entropy and entropy of amplitudes. No improvement in the detection of REM sleep could be achieved by the inclusion of …

AdultMaleCorrelation dimensionGeneral Computer ScienceEntropySleep REMLyapunov exponentElectroencephalographysymbols.namesakeStatisticsmedicineHumansEntropy (information theory)MathematicsQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testArtificial neural networkbusiness.industrySpectral entropyEye movementElectroencephalographyPattern recognitionNonlinear systemNonlinear DynamicssymbolsNeural Networks ComputerArtificial intelligencebusinessAlgorithmsBiotechnologyBiological Cybernetics
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Alterations of Continuous MEG Measures during Mental Activities

2000

In a pilot study, we investigated the topography of 11 continuous MEG measures for the eyes-opened and eyes-closed condition together with three simple mental tasks (mental arithmetic, visual imagery, word generation). One-minute recordings for each condition from 16 right-handed subjects were analyzed. The electrophysiological measures consisted of 6 spectral band measures together with spectral edge frequency and spectral entropy, plus the time-domain-based entropy of amplitudes (ENA) and the nonlinear measures correlation dimension D2 and Lyapunov exponent L1. In summary, our results indicate a pronounced task-dependent difference between the anterior and the posterior region, but no lat…

AdultMaleCorrelation dimensionmedicine.medical_specialtyEntropyFixation OcularLyapunov exponentAudiologyLateralization of brain functionDevelopmental psychologysymbols.namesakeCognitionMental ProcessesmedicineHumansEntropy (information theory)Biological PsychiatryBrainMagnetoencephalographySpectral bandsPsychiatry and Mental healthNeuropsychology and Physiological PsychologyAmplitudeNonlinear DynamicssymbolsFemaleSleep StagesSpectral edge frequencyPsychologyAlgorithmsMental imageNeuropsychobiology
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Comparison of Methods for the Assessment of Nonlinearity in Short-Term Heart Rate Variability under different Physiopathological States

2019

Despite the widespread diffusion of nonlinear methods for heart rate variability (HRV) analysis, the presence and the extent to which nonlinear dynamics contribute to short-term HRV are still controversial. This work aims at testing the hypothesis that different types of nonlinearity can be observed in HRV depending on the method adopted and on the physiopathological state. Two entropy-based measures of time series complexity (normalized complexity index, NCI) and regularity (information storage, IS), and a measure quantifying deviations from linear correlations in a time series (Gaussian linear contrast, GLC), are applied to short HRV recordings obtained in young (Y) and old (O) healthy su…

AdultMaleFOS: Computer and information sciencesTime Factorsnonlinear dynamicSupine positionEntropyQuantitative Biology::Tissues and OrgansPhysics::Medical PhysicsGeneral Physics and Astronomysample entropyStatistics - ApplicationsQuantitative Biology - Quantitative Methods01 natural sciences010305 fluids & plasmasSurrogate dataComplexity indexHeart Rateinformation storage0103 physical sciencesStatisticsHumansHeart rate variabilityApplications (stat.AP)010306 general physicsMathematical PhysicsQuantitative Methods (q-bio.QM)MathematicsApplied MathematicsNonlinear methodsHealthy subjectsStatistical and Nonlinear PhysicsMiddle AgedNonlinear systemComplex dynamicsNonlinear DynamicsFOS: Biological sciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaFemaleHeart rate variability (HRV)
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Redundant and synergistic information transfer in cardiovascular and cardiorespiratory variability

2015

In the framework of information dynamics, new tools are emerging which allow one to quantify how the information provided by two source processes about a target process results from the contribution of each source and from the interaction between the sources. We present the first implementation of these tools in the assessment of short-term cardiovascular and cardiorespiratory variability, by introducing two strategies for the decomposition of the information transferred to heart period (HP) variability from systolic arterial pressure (SAP) and respiration flow (RF) variability. Several measures based on the notion of transfer entropy (TE) are defined to quantify joint, individual and redun…

AdultMaleInformation transferComputer scienceEntropyBiomedical EngineeringBlood PressureHealth Informaticscomputer.software_genreCardiovascular Physiological PhenomenaElectrocardiographyHeart RateHumansPaced breathingSimulation1707Motor NeuronsRespirationModels CardiovascularHealthy subjectsHeartCardiorespiratory fitnessHealthy VolunteersSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaSystolic arterial pressureFemaleTransfer entropyData miningcomputer
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Instantaneous transfer entropy for the study of cardio-respiratory dynamics

2015

Measures of transfer entropy have been proposed to quantify the directional coupling and strength between two complex physiological variables. Particular attention has been given to nonlinear interactions within cardiovascular and respiratory dynamics as influenced by the autonomic nervous system. However, standard transfer entropy estimates have shown major limitations in dealing with issues concerning stochastic system modeling, limited observations in time, and the assumption of stationarity of the considered physiological variables. Moreover, standard estimates are unable to track time-varying changes in nonlinear coupling with high resolution in time. Here, we propose a novel definitio…

AdultMaleInformation transferComputer scienceEntropyPostureBiomedical EngineeringProbability density functionHealth InformaticsMaximum entropy spectral estimationNonlinear DynamicEntropy (classical thermodynamics)ElectrocardiographyTheoreticalRespiratory RateControl theoryModelsHeart RateTilt-Table TestEntropy (information theory)Humans1707; Signal Processing; Biomedical Engineering; Health InformaticsStatistical physicsEntropy (energy dispersal)Entropy (arrow of time)1707Likelihood FunctionsEntropy (statistical thermodynamics)Models TheoreticalLikelihood FunctionNonlinear systemDiscrete time and continuous timeNonlinear DynamicsSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaTransfer entropyFemaleAdult; Electrocardiography; Entropy; Female; Heart Rate; Humans; Likelihood Functions; Male; Models Theoretical; Nonlinear Dynamics; Posture; Tilt-Table Test; Respiratory Rate; Signal Processing; Biomedical Engineering; 1707; Health InformaticsEntropy (order and disorder)Human
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An Information-Theoretic Framework to Map the Spatiotemporal Dynamics of the Scalp Electroencephalogram

2016

We present the first application of the emerging framework of information dynamics to the characterization of the electroencephalography (EEG) activity. The framework provides entropy-based measures of information storage (self entropy, SE) and information transfer (joint transfer entropy (TE) and partial TE), which are applied here to detect complex dynamics of individual EEG sensors and causal interactions between different sensors. The measures are implemented according to a model-free and fully multivariate formulation of the framework, allowing the detection of nonlinear dynamics and direct links. Moreover, to deal with the issue of volume conduction, a compensation for instantaneous e…

AdultMaleInformation transferEntropyComputation0206 medical engineeringInformation TheoryBiomedical Engineering02 engineering and technologyScalp electroencephalogramElectroencephalographyMachine learningcomputer.software_genreEEG propagationYoung Adult03 medical and health sciences0302 clinical medicinevolume conductionmedicineHumansCausal connectivitytransfer entropy (TE)MathematicsBrain MappingScalpmedicine.diagnostic_testbusiness.industryBrainElectroencephalographySignal Processing Computer-AssistedPattern recognitioncomplex dynamic020601 biomedical engineeringmultivariate time series analysiComplex dynamicsNonlinear systemSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaFemaleentropy estimationTransfer entropyArtificial intelligenceInformation dynamicsbusinesscomputer030217 neurology & neurosurgeryIEEE Transactions on Biomedical Engineering
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