Search results for "Decomposition"

showing 10 items of 766 documents

Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials

2010

Nonnegative Matrix / Tensor factorization (NMF/NTF) have been used in the study of EEG, and the fit (explained variation) is often used to evaluate the performance of a nonnegative decomposition algorithm. However, this parameter only reveals the information derived from the mathematical model and just exhibits the reliability of the algorithms, and the property of EEG can not be reflected. If fits of two algorithms are identical, it is necessary to examine whether the desired components extracted by them are identical too. In order to verify this doubt, we performed NMF and NTF on the same dataset of an auditory event-related potentials (ERPs), and found that the identical fits of NMF and …

medicine.diagnostic_testComponent (thermodynamics)Property (programming)business.industryFeature extractionPattern recognitionElectroencephalographyMatrix decompositionNon-negative matrix factorizationTime–frequency analysismedicineArtificial intelligenceNonnegative matrixbusinessMathematicsThe 2010 International Joint Conference on Neural Networks (IJCNN)
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Recognition of Cardiac Arrhythmia by Means of Beat Clustering on ECG-Holter Recordings

2012

The follow-up of some cardiac diseases may be achieved by ECG-holter record analysis. A heartbeat clustering method can be used to reduce the usually high computational cost of such Holter analysis. This study describes a method aimed at cardiac arrhythmia recognition based on this approach, by means of unsupervised inspection of morphologically similar heartbeat groups. Singular Value Decomposition (SVD) is used as the feature selection method since the complexity increases exponentially with the number of features. A modification of the k-means algorithm was developed for centroid computation, taking into account heartbeat length changes. Experimental set consisted of ECG records from the…

medicine.diagnostic_testHeartbeatComputer sciencebusiness.industryFeature extractionCentroidCardiac arrhythmiaFeature selectionPattern recognitionSingular value decompositioncardiovascular systemmedicineArtificial intelligenceCluster analysisbusinessElectrocardiographycirculatory and respiratory physiology
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Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition

2018

Tensor decomposition has been widely employed for EEG signal processing in recent years. Constrained and regularized tensor decomposition often attains more meaningful and interpretable results. In this study, we applied sparse nonnegative CANDECOMP/PARAFAC tensor decomposition to ongoing EEG data under naturalistic music stimulus. Interesting temporal, spectral and spatial components highly related with music features were extracted. We explored the ongoing EEG decomposition results and properties in a wide range of sparsity levels, and proposed a paradigm to select reasonable sparsity regularization parameters. The stability of interesting components extraction from fourteen subjects’ dat…

medicine.diagnostic_testbusiness.industryComputer sciencePattern recognition02 engineering and technologyElectroencephalographystability analysisRegularization (mathematics)ongoing EEG03 medical and health sciences0302 clinical medicinetensor decomposition0202 electrical engineering electronic engineering information engineeringmedicineTensor decompositionsparse regularization020201 artificial intelligence & image processingArtificial intelligencebusiness030217 neurology & neurosurgerynonnegative constraints
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Comparison of frequency domain measures based on spectral decomposition for spontaneous baroreflex sensitivity assessment after Acute Myocardial Infa…

2021

Abstract The objective of this study is to present a new method to assess in the frequency domain the directed interactions between the spontaneous variability of systolic arterial pressure (SAP) and heart period (HP) from their linear model representation, and to apply it for studying the baroreflex control of arterial pressure in healthy physiological states and after acute myocardial infarction (AMI). The method is based on pole decomposition of the model transfer function and on the following evaluation of causal measures of coupling and gain from the poles associated to low frequency (0.04−0.15 Hz) oscillatory components. It is compared with traditional non-causal approaches for the sp…

medicine.medical_specialty0206 medical engineeringBiomedical EngineeringHealth Informatics02 engineering and technologyAcute myocardial infarctionBaroreflexSettore ING-INF/01 - ElettronicaMatrix decomposition03 medical and health sciences0302 clinical medicineInternal medicinemedicineSpectral analysiscardiovascular diseasesMyocardial infarctionSensitivity (control systems)Spectral decompositionbusiness.industryHead-up tiltLinear modelBaroreflexmedicine.disease020601 biomedical engineeringFrequency domainCausalityBlood pressureFrequency domainCardiovascular controlSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaCardiologybusiness030217 neurology & neurosurgery
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Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress.

2019

Heart rate variability (HRV

medicine.medical_specialtyTechnology and Engineering0206 medical engineeringRR intervalRESPIRATORY SINUS ARRHYTHMIAPERIODGeneral Physics and Astronomysynergylcsh:Astrophysics02 engineering and technologyBiologyBaroreflexArticle03 medical and health sciences0302 clinical medicinestomatognathic systemInternal medicinelcsh:QB460-466RespirationMedicine and Health Sciencesmedicineotorhinolaryngologic diseasesHeart rate variabilitycardiovascular diseasesVagal tonelcsh:SciencePhysiological stressinformation theoryBAROREFLEXredundancyheart rate variabilityvirus diseasesmultiscale analysisEntropy cardiovascular variability redundancy autonomic nervous system020601 biomedical engineeringlcsh:QC1-999ARTERIAL-PRESSUREAutonomic nervous systemBlood pressuretime series analysisCardiologyinformation decompositionlcsh:QentropyCARDIOPULMONARYlcsh:Physics030217 neurology & neurosurgerycirculatory and respiratory physiologyEntropy (Basel, Switzerland)
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Spectral decomposition of RR-variability obtained by an open loop parametric model for the diagnosis of neuromediate syncope

2002

The role of the cardiovascular regulatory mechanism in patients with neuromediate syncope (NS) is poorly understood. The aim of this study was to accomplish continuous non-invasive analysis of the baroreflex mechanism in patients during a head-tip tilt-table test (HTT) using an open-loop autoregressive model with exogenous input. The model describes the causal dependence of the RR interval on the systolic arterial pressure (SAP) variability. Thus, RR variability results as the linear composition of SAP-dependent (Pdep) and SAP-independent parts of the RR power (P). Further, the model allows the estimation of the baroreflex gain using the modulus of the transfer function (G) from SAP to RR i…

medicine.medical_specialtybusiness.industryOpen-loop controllerComputer Science Applications1707 Computer Vision and Pattern RecognitionBaroreflexMatrix decompositionBlood pressureAutoregressive modelControl theoryInternal medicineParametric modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticamedicineCardiologyHeart rate variabilitybusinessCardiology and Cardiovascular MedicineSyncope (phonology)
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Decomposition rate and biochemical fate of carbon from natural polymers and microplastics in boreal lakes

2022

Microbial mineralization of organic compounds is essential for carbon recycling in food webs. Microbes can decompose terrestrial recalcitrant and semi-recalcitrant polymers such as lignin and cellulose, which are precursors for humus formation. In addition to naturally occurring recalcitrant substrates, microplastics have been found in various aquatic environments. However, microbial utilization of lignin, hemicellulose, and microplastics as carbon sources in freshwaters and their biochemical fate and mineralization rate in freshwaters is poorly understood. To fill this knowledge gap, we investigated the biochemical fate and mineralization rates of several natural and synthetic polymer-deri…

mineralisaatiodecompositionBurkholderiaceaepolymermineralizationmaatuminenpolymeeritmicroplasticmikroroskat
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An EEMD Aided Comparison of Time Histories and Its Application in Vehicle Safety

2017

In the context of signal processing, the comparison of time histories is required for different purposes, especially for the model validation of vehicle safety. Most of the existing metrics focus on the mathematical value only. Therefore, they suffer the measuring errors, disturbance, and uncertainties and can hardly achieve a stable result with a clear physical interpretation. This paper proposes a novel scheme of time histories comparison to be used in vehicle safety analysis. More specifically, each signal for comparison is decomposed into a trend signal and several intrinsic mode functions (IMFs) by ensemble empirical mode decomposition. The trend signals reflect the general variation a…

model validationDynamic time warpingGeneral Computer ScienceComputer science02 engineering and technologyHilbert–Huang transformEngineering (all)0203 mechanical engineeringVehicle safety0202 electrical engineering electronic engineering information engineeringIn vehicledynamic time warping (DTW)General Materials Sciencevehicle crashSimulationSignal processingdynamic time warping (DTW); Ensemble Empirical Mode Decomposition (EEMD); model validation; Time-history; vehicle crash; Computer Science (all); Materials Science (all); Engineering (all)Computer Science (all)General Engineering020302 automobile design & engineeringEnsemble Empirical Mode Decomposition (EEMD)Measurement uncertainty020201 artificial intelligence & image processingMaterials Science (all)lcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:TK1-9971AlgorithmTime-historyShape analysis (digital geometry)Motor vehicle crash
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Multiple factor analysis: principal component analysis for multitable and multiblock data sets

2013

multiple factor analysis barycentric discriminant analysis (mufabada)statis[STAT.TH] Statistics [stat]/Statistics Theory [stat.TH]principal component analysismultiblock correspondence analysisbarycentric discriminant analysis (bada)generalized procrustes analysis (gpa)[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH][ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]consensus pca[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]multiblock pcamultiple factor analysis (mfa)multiple factorial analysis[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST]multitable pca[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]indscalmultiblock barycentric discriminant analysis (mudica)generalized singular value decomposition
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Synthesis, electron microscopy and X-ray characterization of oxymagnesite, MgO·2MgCO3, formed from amorphous magnesium carbonate

2014

At present, the peculiar compound called oxymagnesite, MgO·2MgCO3, an intermediate formed during thermal decomposition of hydrated magnesium carbonates, has only been described a handful of times without a distinct description of its formation or morphology. In the current work we present the first scanning and transmission electron microscopy images of an oxymagnesite crystal together with its crystallographic data. Oxymagnesite was synthesized in a controlled manner via decomposition of amorphous magnesium carbonates (AMCs) subjected to varying relative humidity. We show that oxymagnesite is formed only when AMC is hydrated above a certain level, which we attribute to structural inequival…

musculoskeletal diseasesMagnesiumThermal decompositionchemistry.chemical_elementGeneral ChemistryCondensed Matter PhysicsDecompositionlaw.inventionAmorphous solidCrystalCrystallographychemistryTransmission electron microscopylawGeneral Materials ScienceRelative humidityElectron microscopeCrystEngComm
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