Search results for "Sample entropy"

showing 9 items of 19 documents

Characterization of entropy measures against data loss: Application to EEG records

2012

This study is aimed at characterizing three signal entropy measures, Approximate Entropy (ApEn), Sample Entropy (SampEn) and Multiscale Entropy (MSE) over real EEG signals when a number of samples are randomly lost due to, for example, wireless data transmission. The experimental EEG database comprises two main signal groups: control EEGs and epileptic EEGs. Results show that both SampEn and ApEn enable a clear distinction between control and epileptic signals, but SampEn shows a more robust performance over a wide range of sample loss ratios. MSE exhibits a poor behavior for ratios over a 40% of sample loss. The EEG non-stationary and random trends are kept even when a great number of samp…

Computer scienceEntropyInformation Storage and RetrievalData lossElectroencephalographySensitivity and SpecificityApproximate entropyMultiscale entropyEntropy (classical thermodynamics)SeizuresStatisticsmedicineHumansEntropy (information theory)Entropy (energy dispersal)Entropy (arrow of time)medicine.diagnostic_testbusiness.industryEntropy (statistical thermodynamics)Reproducibility of ResultsElectroencephalographyPattern recognitionSample entropyArtificial intelligenceArtifactsbusinessAlgorithmsEntropy (order and disorder)2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Quantification and automatized adaptive detection of in vivo and in vitro neuronal bursts based on signal complexity.

2015

In this paper, we propose employing entropy values to quantify action potential bursts in electrophysiological measurements from the brain and neuronal cultures. Conventionally in the electrophysiological signal analysis, bursts are quantified by means of conventional measures such as their durations, and number of spikes in bursts. Here our main aim is to device metrics for burst quantification to provide for enhanced burst characterization. Entropy is a widely employed measure to quantify regularity/complexity of time series. Specifically, we investigate the applicability and differences of spectral entropy and sample entropy in the quantification of bursts in in vivo rat hippocampal meas…

Computer scienceQuantitative Biology::Tissues and OrgansAstrophysics::High Energy Astrophysical PhenomenaEntropyCell Culture TechniquesElectrophysiological PhenomenaAction Potentialsta3112HippocampusEntropy (classical thermodynamics)In vivoEntropy (information theory)AnimalsEntropy (energy dispersal)Rats WistarEntropy (arrow of time)ta217NeuronsSignal processingQuantitative Biology::Neurons and Cognitionta213Entropy (statistical thermodynamics)Signal Processing Computer-Assistedadaptive detectionelectrophysiological signal analysisquantificationneuronal burstsElectrophysiological PhenomenaSample entropyElectrophysiologyElectrophysiologyMicroelectrodeBiological systemNeuroscienceMicroelectrodesEntropy (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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Characterization of postural control impairment in women with fibromyalgia

2018

[EN] The main goal of this cross-sectional study was to detect whether women with fibromyalgia syndrome (FMS) have altered postural control and to study the sensory contribution to postural control. We also explored the possibility that self-induced anxiety and lower limb strength may be related to postural control. For this purpose, 129 women within an age range of 40 to 70 years were enrolled. Eighty of the enrolled women had FMS. Postural control variables, such as Ellipse, Root mean square (RMS) and Sample entropy (SampEn), in both directions (i.e. mediolateral and anteroposterior), were calculated under five different conditions. A force plate was used to register the center of pressur…

FibromyalgiaCross-sectional studyEntropyEmotionslcsh:MedicineSocial SciencesIsometric exerciseAnxietyPostural control0302 clinical medicineFibromyalgiaMedicine and Health SciencesMedicinePsychologylcsh:ScienceMusculoskeletal SystemPostural BalanceMultidisciplinaryPhysicsNeuromuscular DiseasesMiddle AgedFoamBiomechanical PhenomenaFibromyalgia syndromeNeurologyLower ExtremityEllipsesPhysical SciencesSensation DisordersAnxietyThermodynamicsSensory PerceptionFemalemedicine.symptomAnatomyResearch ArticleAdultmedicine.medical_specialtyMaterials by StructureCognitive NeuroscienceMaterials ScienceGeometryPelvis03 medical and health sciencesMotor ReactionsPhysical medicine and rehabilitationSensory CuesRheumatologyHumansMuscle StrengthAged030203 arthritis & rheumatologyHipbusiness.industrylcsh:RBiology and Life Sciencesmedicine.diseaseSample entropyPostural ControlCross-Sectional StudiesCase-Control StudiesLean body massCognitive Sciencelcsh:Qbusiness030217 neurology & neurosurgeryMathematicsNeuroscience
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A New Wavelet Tool to Quantify Non-Periodicity of Non-Stationary Economic Time Series

2020

We introduce a new wavelet tool, the windowed scale index, to study the degree of non-periodicity of time series. The windowed scale index is based on some recently defined tools, such as the windowed scalogram and the scale index. This novel measure is appropriate for non-stationary time series whose characteristics change over time and, therefore, it can be applied to a wide variety of disciplines. Furthermore, we revise the concept of the scale index and pose a theoretical problem: it is known that if the scale index of a function is not zero then it is non-periodic, but if the scale index of a function is zero, then it is not proved that it has to be periodic. This problem is solved for…

Index (economics)Scale (ratio)Computer scienceGeneral Mathematics01 natural sciencesMeasure (mathematics)wavelets03 medical and health sciencesWavelet0103 physical sciencesComputer Science (miscellaneous)010301 acousticsEngineering (miscellaneous)030304 developmental biology0303 health sciencesscale indexSeries (mathematics)lcsh:Mathematicschaotic dynamical systemsFunction (mathematics)lcsh:QA1-939Haar waveletSample entropyEconomia matemàticaAlgorithmnon-periodicityMathematics
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Laboratory-Based Gait Variability and Habitual Gait Entropy Do Not Differentiate Community-Dwelling Older Adults from Those with Subjective Memory Co…

2019

Background: Age-related cognitive decline may be delayed with appropriate interventions if those at high risk can be identified prior to clinical symptoms arising. Gait variability assessment has emerged as a promising candidate prognostic indicator, however, it remains unclear how sensitive gait variability is to early changes in cognitive abilities. Research question: Do community-dwelling adults over 65 years of age with subjective memory complaints differ from those with no subjective memory concerns in terms of laboratory-measured or free-living gait variability? Methods: This cross-sectional study recruited 24 (age = 73.5(SD 6.4) years) community-dwelling people with subjective memory…

Malemedicine.medical_specialtyEntropyBiophysicsPsychological interventionSubjective memorygaitwearable03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationMemoryAccelerometrymedicineDementiaHumansOrthopedics and Sports MedicineCognitive DysfunctionCognitive declineGaitcognitive impairmentAgedAged 80 and overbusiness.industryscreeningactivityRehabilitationCognition030229 sport sciencesStride lengthmedicine.diseaseSample entropyCross-Sectional StudiesDementiaFemaleAnalysis of varianceIndependent LivingbusinessGait Analysishuman activities030217 neurology & neurosurgeryGaitposture
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Complexity analysis of experimental cardiac arrhythmia

2014

International audience; To study the cardiac arrhythmia, an in vitro experimental model and Multielectrodes Array (MEA) are used. This platform serves as an intermediary of the electrical activities of cardiac cells and the signal processing / dynamics analysis. Through it the extracellular potential of cardiac cells is acquired, allowing a real-time monitoring / analyzing. Since MEA has 60 electrodes / channels dispatched in a rectangular region, it allows real-time monitoring and signal acquisition on multiple sites. The in vitro experimental model (cardiomyocytes cultures from new-born rats' heart) is directly prepared on the MEA. This carefully prepared culture has similar parameters as…

Signal processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceCardiac arrhythmiaAtrial fibrillation[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030204 cardiovascular system & hematologymedicine.disease01 natural sciencesApproximate entropySignal acquisitionSample entropy03 medical and health sciencesExtracellular potential0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesmedicinecardiovascular systemEntropy (information theory)010306 general physics[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingBiomedical engineering
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2020

Gait variability observed in step duration is predictive of impending adverse health outcomes among apparently healthy older adults and could potentially be evaluated using wearable sensors (inertial measurement units, IMU). The purpose of the present study was to establish the reliability and concurrent validity of gait variability and complexity evaluated with a waist and an ankle-worn IMU. Seventeen women (age 74.8 (SD 44) years) and 10 men (73.7 (4.1) years) attended two laboratory measurement sessions a week apart. Their stride duration variability was concurrently evaluated based on a continuous 3 min walk using a force plate and a waist- and an ankle-worn IMU. Their gait complexity (…

medicine.medical_specialtyWaistCorrelation coefficient0206 medical engineeringConcurrent validitySTRIDE02 engineering and technologyAccelerometerBiochemistryAnalytical Chemistry03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationInertial measurement unitmedicineElectrical and Electronic EngineeringInstrumentationbusiness.industry020601 biomedical engineeringAtomic and Molecular Physics and OpticsSample entropymedicine.anatomical_structureAnklebusinesshuman activities030217 neurology & neurosurgerySensors
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AB0929 Balance in fibromyalgia is not related with lower limb strength

2017

Background Postural control, that depends on many sensory contributors and motor skills, is altered in people with fibromyalgia (FM) 1–3. Knowing those contributors that could be impaired in this population is important to design an appropriate balance therapy. Objectives Due to the fact that people with FM use to present a strength loss 7, our main goal was to explore the relation between postural control and lower limb strength in this population. Further, the sensory inputs contributors to the postural control were assessed. Methods A cross-sectional study was conducted in a sample of 40 FM patients. A force platform was used to assess postural control under five bipedal conditions: i) e…

medicine.medical_specialtyeducation.field_of_studyProprioceptionbusiness.industryPopulationIsometric exercisemedicine.diseaseSample entropyPhysical medicine and rehabilitationFibromyalgiamedicineForce platformeducationbusinessHamstringBalance (ability)Abstracts Accepted for Publication
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Analysis of inter-atrium differences in paroxysmal and persistent atrial fibrillation using principal component analysis

2007

The pathophysiological mechanisms of atrial fibrillation (AF) are not entirely clear yet, and there is no full explanation for the development and evolution of the arrhythmia. The goal of this study is to find inter-atrium differences in electrophysiological behavior between persistent and paroxysmal AF. The database analyzed contains intra-cardiac records from 14 patients with paroxysmal AF and 10 with persistent AF. Dominant frequency and sample entropy measurements showed that in the paroxysmal group there was a left-to-right gradient. These differences were enhanced after the extraction of the main components with principal component analysis. These findings may be interpreted as a poss…

medicine.medical_specialtymedicine.diagnostic_testbusiness.industryLeft atriumAtrial fibrillationDominant frequencymedicine.diseaseSample entropymedicine.anatomical_structureAnesthesiaInternal medicinePersistent atrial fibrillationPrincipal component analysiscardiovascular systemmedicineCardiologybusinessElectrocardiographyParoxysmal AF2007 Computers in Cardiology
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