Search results for " recognition"

showing 10 items of 3220 documents

Identifying physical activity type in manual wheelchair users with spinal cord injury by means of accelerometers

2015

Objectives: The main objective of this study was to develop and test classification algorithms based on machine learning using accelerometers to identify the activity type performed by manual wheelchair users with spinal cord injury (SCI). Setting: The study was conducted in the Physical Therapy department and the Physical Education and Sports department of the University of Valencia. Methods: A total of 20 volunteers were asked to perform 10 physical activities, lying down, body transfers, moving items, mopping, working on a computer, watching TV, arm-ergometer exercises, passive propulsion, slow propulsion and fast propulsion, while fitted with four accelerometers placed on both wrists, c…

medicine.medical_specialtySupport Vector MachinePARTICIPATIONPhysical activityComputerApplications_COMPUTERSINOTHERSYSTEMSACTIVITY RECOGNITIONMotor ActivityAccelerometerFunctional LateralityManual wheelchairTECNOLOGIA ELECTRONICAPhysical medicine and rehabilitationPEOPLEAccelerometryMedicineHumansVALIDITYSpinal cord injurySpinal Cord InjuriesAgedbusiness.industryVALUESENERGY-EXPENDITUREDiscriminant AnalysisReproducibility of ResultsPARAPLEGIAGeneral MedicineWristACTIVITY MONITORequipment and suppliesmedicine.diseasenervous system diseasesActivity monitorCross-Sectional StudiesNeurologyEnergy expenditureWheelchairsComputerSystemsOrganization_MISCELLANEOUSPhysical therapyComputingMilieux_COMPUTERSANDSOCIETYNeurology (clinical)InformationSystems_MISCELLANEOUSbusinessParaplegiahuman activities
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Accuracy of automatic airway morphometry in computed tomography-correlation of radiological-pathological findings.

2010

Abstract Objectives Airway morphology shows characteristic changes in different pathologies. This study assesses the accuracy of a current automatic airway assessment technique by correlating CT images of porcine airways to histological slices of the same localization. Materials and methods Four isolated and ventilated porcine lungs were frozen in a liquid nitrogen bath and examined with a CT scanner (MDCT). This technique both preserved normal radiomorphological appearance and made it possible to slice the specimens for histological examination for subsequent correlation. The parameters wall thickness (WT), wall percentage (WP), and total diameter (TD) were assessed by computer-aided measu…

medicine.medical_specialtySwineStatistics as TopicBronchiIn Vitro TechniquesSensitivity and SpecificityImaging phantomPattern Recognition AutomatedCorrelationBronchoscopyMedicineAnimalsRadiology Nuclear Medicine and imagingPathologicalbusiness.industryReproducibility of ResultsHistologyGeneral MedicineTracheaRadiological weaponCalipersRadiographic Image Interpretation Computer-AssistedRadiologyTomographybusinessAirwayNuclear medicineTomography X-Ray ComputedAlgorithmsEuropean journal of radiology
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Visual processing in patients with age-related macular degeneration performing a face detection test

2017

Purpose: People with age-related macular degeneration (AMD) have difficulties in familiar face recognition and facial expression discrimination. Our aim was to evaluate the visual processing of faces in AMD patients and whether this would be improved by anti-vascular endothelial growth factor therapy. This was a prospective interventional cohort study. Patients: Twelve patients with monocular wet AMD and 6 control subjects were recruited. Face detection processes were studied using cortical event-related potentials (ERPs). Patients received 3 bevacizumab intravitreal injections to the single affected eye. At baseline and 4–6 weeks after the last injection, clinical presentation and ERPs of …

medicine.medical_specialtyVisual acuityBevacizumabgenetic structuresfacial expressionsElectroencephalographybevacizumabfacial recognitionVisual processing03 medical and health sciences0302 clinical medicineOphthalmologymedicineilmeetEEGage-related eye diseasesFace detectionta315tunnistaminenOriginal ResearchFacial expressionMonocularmedicine.diagnostic_testbusiness.industryvisuaalisuuseye diseasesta3141Clinical OphthalmologyMacular degenerationRE1-994medicine.diseaseeye diseasesOphthalmologyvisualityN170silmätaudit030221 ophthalmology & optometrysense organsmedicine.symptomrecognitionbusiness030217 neurology & neurosurgerykasvontunnistus (tietotekniikka)medicine.drugface recognitionClinical Ophthalmology
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Roentgenological observations on vocal fold length-changes with special reference to register transition and open/covered voice

1992

This paper examines the length-changes of the vocal folds as a function of voice pitch. Changes in normalized vocal fold elongation (strain) were measured indirectly from calcification points in several laryngeal structures from roentgenological exposures during singing. Changes in vocal fold strain are shown to occur mainly in the register transition area, i.e. the area within which all register changes take place. Changes in vocal fold strain appeared similar in male and female subjects. Evidence for different strain patterns in covered and open singing is presented for female subjects: Strain is higher in non-singers and (“incorrect”) open voice, lower in singers and (“correct”) covered …

medicine.medical_specialtyVoice pitchSpeech recognitionGeneral MedicineFold (geology)BiologyAudiologyVocal registerVOICE FATIGUEmedicine.anatomical_structureVocal foldsotorhinolaryngologic diseasesmedicinesense organsSingingskin and connective tissue diseasesScandinavian Journal of Logopedics and Phoniatrics
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Working Memory, Jumping to Conclusions and Emotion Recognition: a Possible Link in First Episode Psychosis (Fep)

2015

Introduction A large body of literature has demonstrated that people affected by psychotic disorders show deficits in working memory, in Emotion Recognition (ER) and in data-gathering to reach a decision (Jumping To Conclusions – JTC). Aims To investigate a possible correlation between working memory, JTC and ER in FEP. Methods 41 patients and 89 healthy controls completed assessments of working memory using WAIS shortened version, JTC using the 60:40 Beads Task and ER using Degraded Facial Affect Recognition Task. Results According to the literature, cases had poorer performance in working memory tasks (Digit Span: μ7,72 [ds=2,98] vs μ10,14 [ds=3,10], U=865,00, p=0,00; Digit Symbol: μ5,36 …

medicine.medical_specialtyWorking memoryWechsler Adult Intelligence ScaleAudiologyworking memory psychosis emotionDevelopmental psychologyCorrelationPsychiatry and Mental healthSettore M-PSI/08 - Psicologia ClinicaFirst episode psychosisJumping to conclusionsSettore MED/48 -Scienze Infermierist. e Tecn. Neuro-Psichiatriche e Riabilitat.medicineMemory spanEmotion recognitionPsychologySettore MED/25 - PsichiatriaEarly rehabilitationEuropean Psychiatry
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Unsupervised Numerical Characterization in Determining the Borders of Malignant Skin Tumors from Spectral Imagery

2021

For accurate removal of malignant skin tumors, it is crucial to assure the complete removal of the lesions. In the case of certain ill-defined tumors, it is clinically challenging to see the true borders of the tumor. In this paper, we introduce several computationally efficient approaches based on spectral imaging to guide clinicians in delineating tumor borders. First, we present algorithms that can be used effectively with simulated skin reflectance data. By using simulated data, we gain detailed information about the sensitivity of the different approaches and how variables defined by algorithms act in the skin model. Second, we demonstrate the performance of the algorithms with spectra…

medicine.medical_specialtybusiness.industryComputer sciencePattern recognitionLentigo malignamedicine.diseaseReflectivitySpectral imagingSoftwareSimulated datamedicineBasal cell carcinomaSensitivity (control systems)Artificial intelligencebusiness
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ECG Analysis for Ventricular Fibrillation Detection Using a Boltzmann Network

2015

Arrhythmias consist on electrical alterations in the heart beat control. They can be identified by means of surface ECG leads. The main goal of this work is to provide a signal classification based on ECG signal waveform in the time-frequency domain especially targeted to Ventricular Fibrillation detection. The use of a classifier based on a Boltzmann network is proposed. However, a previous signal preprocessing is also required so that the Boltzmann network is fed with the appropriate data. In this case, an R-wave detector is used; after that, the Pseudo Wigner-Ville time-frequency distribution is obtained. This distribution is used to train and test the network, which handles it as an ima…

medicine.medical_specialtybusiness.industryComputer scienceQuantitative Biology::Tissues and OrgansDetectorFeature extractionPattern recognitionmedicine.diseasesymbols.namesakeInternal medicineVentricular fibrillationBoltzmann constantmedicinesymbolsCardiologyPreprocessorECG analysisWaveformArtificial intelligencebusinessClassifier (UML)
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Stereoscopic Viewing Enhances Visually Induced Motion Sickness but Sound Does Not

2012

Optic flow in visual displays or virtual environments often induces motion sickness (MS). We conducted two studies to analyze the effects of stereopsis, background sound, and realism (video vs. simulation) on the severity of MS and related feelings of immersion and vection. In Experiment 1, 79 participants watched either a 15-min-long video clip taken during a real roller coaster ride, or a precise simulation of the same ride. Additionally, half of the participants watched the movie in 2D, and the other half in 3D. MS was measured using the Simulator Sickness Questionnaire (SSQ) and the Fast Motion Sickness Scale (FMS). Results showed a significant interaction for both variables, indicatin…

medicine.medical_specialtybusiness.industryComputer scienceVisual DiscomfortStereoscopyAudiologymedicine.diseaselaw.inventionHuman-Computer InteractionStereopsisMotion sicknessControl and Systems EngineeringlawSimulator sicknessImmersion (virtual reality)medicineComputer visionComputer Vision and Pattern RecognitionArtificial intelligenceRoller coasterFast motionbusinessSoftwarePresence: Teleoperators and Virtual Environments
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Prostate Cancer Segmentation from Multiparametric MRI Based on Fuzzy Bayesian Model

2014

International audience

medicine.medical_specialtybusiness.industryMultiparametric MRIPattern recognition02 engineering and technology16. Peace & justicemedicine.diseaseBayesian inferenceFuzzy logic030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicine0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processingSegmentationArtificial intelligenceRadiologybusinessComputingMilieux_MISCELLANEOUS
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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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