Search results for "20(60)"

showing 10 items of 368 documents

2021

The present study was conducted with the aim of constructing and validating a short form of the Profile of Mood States (POMS). The POMS is a widely-applied measure for the assessment of an individual's mood. Thus, it is of great relevance for many research questions in clinical and social psychology. To develop the short scale, we first examined psychometric properties and found the optimal 16-item solution among all valid combinations of the full POMS in an exploratory subsample (n = 1,029) of our complete representative sample of the German general population. We then validated this model in a confirmatory subsample (n = 977). Additionally, we examined its invariance across age groups and…

education.field_of_study0206 medical engineeringPopulation030206 dentistry02 engineering and technologyProfile of mood states020601 biomedical engineeringShort scalelanguage.human_languageGerman03 medical and health sciences0302 clinical medicineMoodAge groupslanguageResearch questionseducationPsychologyGeneral PsychologyReliability (statistics)Clinical psychologyFrontiers in Psychology
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2021

(1) Background: This cross-sectional study aims to compare a new and non-invasive approach using hyperspectral imaging (HSI) with the conventional modified Allen’s test (MAT) for the assessment of collateral perfusion prior to radial forearm free flap harvest in healthy adults. (2) HSI of the right hand of 114 patients was recorded. Here, three recordings were carried out: (I) basic status (perfusion), (II) after occlusion of ulnar and radial artery (occlusion) and (III) after releasing the ulnar artery (reperfusion). At all recordings, tissue oxygenation/superficial perfusion (StO2 (0–100%); 0–1 mm depth), tissue hemoglobin index (THI (0–100)) and near infrared perfusion index/deep perfusi…

education.field_of_studybusiness.industry0206 medical engineeringPopulationMedicine (miscellaneous)02 engineering and technology030204 cardiovascular system & hematologyCollateral circulation020601 biomedical engineeringAllen's test03 medical and health sciences0302 clinical medicinemedicine.arteryOcclusionMedicineArtery occlusionRadial arterybusinesseducationNuclear medicinePerfusionUlnar arteryJournal of Personalized Medicine
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SNPs detection by eBWT positional clustering

2019

Sequencing technologies keep on turning cheaper and faster, thus putting a growing pressure for data structures designed to efficiently store raw data, and possibly perform analysis therein. In this view, there is a growing interest in alignment-free and reference-free variants calling methods that only make use of (suitably indexed) raw reads data. We develop the positional clustering theory that (i) describes how the extended Burrows–Wheeler Transform (eBWT) of a collection of reads tends to cluster together bases that cover the same genome position (ii) predicts the size of such clusters, and (iii) exhibits an elegant and precise LCP array based procedure to locate such clusters in the e…

lcsh:QH426-470Computer scienceLCP arrayReference-free[SDV]Life Sciences [q-bio]0206 medical engineeringSequencing dataSNPAssembly-free02 engineering and technologyBWT LCP array SNPs Reference-free Assembly-freecomputer.software_genreSoftwareBWTStructural BiologyComputational Theory and MathematicCluster (physics)Cluster analysislcsh:QH301-705.5Molecular BiologyComputingMilieux_MISCELLANEOUSSettore INF/01 - Informaticabusiness.industryResearchApplied MathematicsLCP arrayData structurePipeline (software)lcsh:GeneticsComputational Theory and Mathematicslcsh:Biology (General)Data miningBWT; LCP array; SNPs; Reference-free; Assembly-free[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businessRaw datacomputer020602 bioinformaticsSNPs
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Truncation effects on muscular fatigue indexes based on M waves analysis

2012

International audience; In this paper, we investigate muscular fatigue. We propose a new fatigue index based on the continuous wavelet transform (CWT) and compare it with the standard fatigue indexes from literature. Fatigue indexes are all based on the electrical activity of muscles (electromyogram) acquired during an electrically stimulated contraction (ES). The stimulator and electromyogram system, which were presented in a previous work, allows real-time analysis. The extracted fatigue parameters are compared between each other and their sensitivity to noise is studied. The effect of truncation of M waves is then investigated, enlightening the robustness of the index obtained using CWT.

medicine.diagnostic_testElectromyographyAcousticsSpeech recognition0206 medical engineering02 engineering and technologyElectromyography020601 biomedical engineering[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics03 medical and health sciences0302 clinical medicineMuscular fatigueMuscle FatiguemedicineHumans030217 neurology & neurosurgeryContinuous wavelet transformMathematics
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Multi axis representation and Euclidean distance of muscle fatigue indexes during evoked contractions

2014

International audience; In this article, we proposed a new representation of muscular fatigue during evoked muscle contractions based on fatigue indexes such as peak to peak amplitude, RMS of the M wave, mean and median frequency and fatigue index calculated from continuous wavelet transform (I CWT). These new representations of muscle fatigue using multi axis represented and Euclidean distance give better insights on changes in physiological characteristics during muscle fatigue. This technique provides a fatigue index using several muscle characteristics. The use of other kinds of fatigue characteristics as force could also be possible.

medicine.diagnostic_testMuscle fatigueSpeech recognitionMulti axis0206 medical engineeringMathematical analysis02 engineering and technologyElectromyography[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing020601 biomedical engineering[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsEuclidean distance03 medical and health sciences0302 clinical medicineAmplitudeMuscular fatiguemedicineRepresentation (mathematics)[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing030217 neurology & neurosurgeryContinuous wavelet transform[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematics
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Effect of footwear on plantar flexor fine-wire electromyography activity in walking

2019

Compared to barefoot walking, walking in footwear seems to alter plantar flexor electromyography (EMG) activity, vertical and horizontal ground reaction forces (Sacco, Akashi, & Hennig, 2010), ankle kinematics and the time of peak activity (Sacco et al., 2010). However, study results are inconsistent regarding the magnitude and direction of these changes. Magnetic resonance imaging showed high inter-individual variability in muscle metabolic activity during walking, suggesting individual-specific activation patterns (Kolk et al., 2015). Additionally, little is known about the role of toe flexors such as flexor hallucis longus (FHL) in walking.

medicine.medical_specialty0206 medical engineeringBiomedical EngineeringBiophysicsPhysical Therapy Sports Therapy and RehabilitationHuman Factors and Ergonomics02 engineering and technologyElectromyographyPlantar flexionBarefoot03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationmedicineOrthopedics and Sports MedicineGround reaction forcemedicine.diagnostic_testbusiness.industry030229 sport sciencesmusculoskeletal system020601 biomedical engineeringbody regionsFlexor hallucis longusGait analysisBarefoot walkingbusinessMetabolic activityhuman activitiesFootwear Science
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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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Analysis of in-silico body surface P-wave integral maps show important differences depending on the connections between coronary sinus and left atrium

2016

The electrical connections between the atrial coronary sinus (CS) and the left atrial (LA) myocardium have an effect on the overall atrial activation pattern and the P-wave morphology. In this study, we use our validated multi-scale 3D human atrial-torso model to elucidate which electro-anatomical configuration of connections between CS and LA more accurately reproduces a set of body surface P-wave integral maps (BSPiM) acquired in the clinic. We performed atrial biophysical simulations by pacing in distal and proximal LA sites. The corresponding in-silico BSPiM were then computed and compared with published clinical patterns obtained from patients. Important differences in BSPiM were obser…

medicine.medical_specialty0206 medical engineeringP waveLeft atrium02 engineering and technologyAnatomyAtrial activation020601 biomedical engineering030218 nuclear medicine & medical imaging03 medical and health sciencesOstium0302 clinical medicinemedicine.anatomical_structureLeft atrialInternal medicineBody surfacecardiovascular systemmedicineCardiologycardiovascular diseasesCoronary sinusMathematics
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Dynamic 4D Blood Flow Representation in the Aorta and Analysis from Cine-MRI in Patients

2007

International audience; Abstract: Natural evolution of aortic disease is characterized by a diameter increase that can result in aortic dissection or rupture. Currently the evaluation of risk of rupture or dissection is based on the size of the aorta. However, this parameter is not always relevant and it appears necessary to define new parameters. In this perspective, 3D velocity imaging acquired with ECG gated velocity-encoded cine-MRI allows the aortic blood flow study. As the acquired images are not directly usable, the present study proposes a 4D-representation Of aortic blood flow in order to optimize the visualization of the particularities of non-laminar flow within the aorta. Image …

medicine.medical_specialty0206 medical engineering[INFO.INFO-IM] Computer Science [cs]/Medical ImagingHemodynamics02 engineering and technologyDissection (medical)030204 cardiovascular system & hematology03 medical and health sciences0302 clinical medicineAneurysmInternal medicinemedicine.arterymedicineMedical imaging[INFO.INFO-IM]Computer Science [cs]/Medical ImagingAortic dissectionAorta[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industryRepresentation (systemics)Blood flowmedicine.disease020601 biomedical engineeringCardiologycardiovascular systemRadiologybusiness
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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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