Search results for "Ceph"

showing 10 items of 2036 documents

Image-Evoked Affect and its Impact on Eeg-Based Biometrics

2019

Electroencephalography (EEG) signals provide a representation of the brain’s activity patterns and have been recently exploited for user identification and authentication due to their uniqueness and their robustness to interception and artificial replication. Nevertheless, such signals are commonly affected by the individual’s emotional state. In this work, we examine the use of images as stimulus for acquiring EEG signals and study whether the use of images that evoke similar emotional responses leads to higher identification accuracy compared to images that evoke different emotional responses. Results show that identification accuracy increases when the system is trained with EEG recordin…

021110 strategic defence & security studiesmedicine.diagnostic_testBiometricsComputer scienceSpeech recognition0211 other engineering and technologies02 engineering and technologyElectroencephalographyStimulus (physiology)Statistical classification0202 electrical engineering electronic engineering information engineeringTask analysismedicine020201 artificial intelligence & image processingMel-frequency cepstrum2019 IEEE International Conference on Image Processing (ICIP)
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ES1D: A Deep Network for EEG-Based Subject Identification

2017

Security systems are starting to meet new technologies and new machine learning techniques, and a variety of methods to identify individuals from physiological signals have been developed. In this paper, we present ESID, a deep learning approach to identify subjects from electroencephalogram (EEG) signals captured by using a low cost device. The system consists of a Convolutional Neural Network (CNN), which is fed with the power spectral density of different EEG recordings belonging to different individuals. The network is trained for a period of one million iterations, in order to learn features related to local patterns in the spectral domain of the original signal. The performance of the…

021110 strategic defence & security studiesmedicine.diagnostic_testbusiness.industryComputer scienceDeep learningFeature extractionSIGNAL (programming language)0211 other engineering and technologiesSpectral densityPattern recognition02 engineering and technologyElectroencephalographyConvolutional neural networkConvolutionIdentification (information)0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processingArtificial intelligencebusiness2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE)
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Typhoid Fever

2008

Typhoid fever continues to be a serious public health problem, with approximately 22. million cases and more than 200. 000 deaths globally. The disease is most often acquired by ingestion of food or water contaminated by the feces and less frequently by urine or vomitus of patients and carriers. Prolonged low-grade fever, headache, dry cough, alterations of bowel habits, coated tongue, and rose spots are the typical clinical features. Definitive diagnosis requires the isolation of Salmonella enterica serovar Typhi. Supportive serological tests are also used. First-choice antibiotic treatment includes fluoroquinolones or third-generation cephalosporins and reduces the mortality rate from 20%…

0301 basic medicine030106 microbiologyCephalosporinVi polysaccharide vaccineEnteric feverPeyer's patcheRose spotSalmonella typhiBlood cultureWaterborne03 medical and health sciencesTy21a0302 clinical medicineFluoroquinoloneTyphoid030212 general & internal medicineAgglutination testTyphoid FeverTyphoid fever
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GFAPα IgG-associated encephalitis upon daclizumab treatment of MS

2018

ObjectiveTo describe a case of glial fibrillary acidic protein (GFAP)α immunoglobulin G (IgG)-associated encephalitis in a patient referred to us with MS on daclizumab treatment and to summarize characteristics of 5 additional recent German MS cases of serious encephalitis along with a previously published American case of CNS vasculitis associated with daclizumab.MethodsEvaluation of cause, clinical symptoms, and treatment response.ResultsThe 6 patients included 4 women and 2 men. The median age at onset was 38 years (range 32–51 years). Clinical presentation was marked by progressing neuropsychologic and/or neurologic deficits. Additional drug rash with eosinophilia was seen in 3 patients…

0301 basic medicine41132medicine.disease_causeArticleImmunoglobulin GAutoimmunity03 medical and health sciences0302 clinical medicineDaclizumabmedicineEosinophiliaPleocytosisbiologyGlial fibrillary acidic proteinbusiness.industrymedicine.disease030104 developmental biologyNeurologyImmunologybiology.proteinNeurology (clinical)medicine.symptomAntibodybusiness030217 neurology & neurosurgeryEncephalitismedicine.drugNeurology - Neuroimmunology Neuroinflammation
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Estrogen Signaling in Bystander Foxp3 neg CD4 + T Cells Suppresses Cognate Th17 Differentiation in Trans and Protects from Central Nervous System Aut…

2018

Abstract 17β-Estradiol (E2) suppresses the development of experimental autoimmune encephalomyelitis (EAE) through estrogen receptor (ER) α, yet the cellular targets remain elusive. We have used an adoptive transfer model of myelin oligodendrocyte glycoprotein–specific CD4+ T cells from 2D2 TCR transgenic mice. We show that in the recipient mice, ERα expression in bystander CD4+ T cells, rather than in cognate 2D2 T cells, is required for the inhibition of Th17 cell differentiation by E2. Coadministration of estrogen-primed WT, but not ERα-deficient CD4+ T cells, with naive 2D2 T cells lacking ERα inhibited the development of Th17 cell–mediated EAE. Suppression of Th17 cells and protection f…

0301 basic medicineAdoptive cell transferCell growthChemistryCellular differentiation[SDV]Life Sciences [q-bio]ImmunologyExperimental autoimmune encephalomyelitisEstrogen receptorFOXP3medicine.diseaseOligodendrocyte3. Good healthCell biology03 medical and health sciences030104 developmental biology0302 clinical medicinemedicine.anatomical_structureBystander effectmedicineImmunology and AllergyComputingMilieux_MISCELLANEOUS030215 immunology
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CCR7 on CD4+ T Cells Plays a Crucial Role in the Induction of Experimental Autoimmune Encephalomyelitis

2018

Abstract Multiple sclerosis (MS) is the most common chronic inflammatory demyelinating disease of the CNS. Myelin-specific CD4+ Th lymphocytes are known to play a major role in both MS and its animal model experimental autoimmune encephalomyelitis (EAE). CCR7 is a critical element for immune cell trafficking and recirculation, that is, lymph node homing, under homeostatic conditions; blocking CCR7+ central memory cells from egress of lymph nodes is a therapeutic approach in MS. To define the effect of CD4+ T cell–specific constitutive deletion of CCR7 in the priming and effector phase in EAE, we used an active EAE approach in T cell reconstituted Rag1−/− mice, as well as adoptive transfer E…

0301 basic medicineAdoptive cell transferChemistryEncephalomyelitisT cellImmunologyExperimental autoimmune encephalomyelitisPriming (immunology)chemical and pharmacologic phenomenahemic and immune systemsmedicine.disease03 medical and health sciences030104 developmental biology0302 clinical medicinemedicine.anatomical_structureImmune systemAntigenimmune system diseasesImmunologymedicineImmunology and AllergytissuesNeuroinflammation030215 immunologyThe Journal of Immunology
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Group analysis of ongoing EEG data based on fast double-coupled nonnegative tensor decomposition

2019

Abstract Background Ongoing EEG data are recorded as mixtures of stimulus-elicited EEG, spontaneous EEG and noises, which require advanced signal processing techniques for separation and analysis. Existing methods cannot simultaneously consider common and individual characteristics among/within subjects when extracting stimulus-elicited brain activities from ongoing EEG elicited by 512-s long modern tango music. New method Aiming to discover the commonly music-elicited brain activities among subjects, we provide a comprehensive framework based on fast double-coupled nonnegative tensor decomposition (FDC-NTD) algorithm. The proposed algorithm with a generalized model is capable of simultaneo…

0301 basic medicineAdultComputer sciencemusiikkiElectroencephalography03 medical and health sciencesYoung Adultcoupled0302 clinical medicinetensor decompositionEeg dataRobustness (computer science)medicineDecomposition (computer science)HumansmusicNonnegative tensorEEGSignal processingmedicine.diagnostic_testbusiness.industryGeneral NeuroscienceFunctional NeuroimagingBrainsignaalianalyysiPattern recognitionElectroencephalographySignal Processing Computer-AssistedMiddle Agedongoing EEGAlpha (programming language)030104 developmental biologyGroup analysisAuditory PerceptionnonnegativeArtificial intelligencebusiness030217 neurology & neurosurgeryAlgorithmsMusicärsykkeet
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Sex- and age patterns in incidence of infectious diseases in Germany: analyses of surveillance records over a 13-year period (2001–2013)

2018

AbstractSex differences in the incidence of infections may indicate different risk factors and behaviour but have not been analysed across pathogens. Based on 3.96 million records of 33 pathogens in Germany, notified from 2001 to 2013, we applied Poisson regression to generate age-standardised incidence rate ratios and assessed their distribution across age and sex. The following trends became apparent: (a) pathogens with male incidence preponderance at infant and child age (meningococcal disease (incidence rate ratio (IRR) = 1.19, 95% CI 1.03–1.38, age = 0–4); influenza (IRR = 1.09, 95% CI 1.06–1.13, age = 0–4)), (b) pathogens with sex-switch in incidence preponderance at puberty (e.g. nor…

0301 basic medicineAdultMaleAdolescentEpidemiology030106 microbiologyGermany/epidemiologyMeningococcal diseasemedicine.disease_causeRate ratioCommunicable Diseases03 medical and health sciencessymbols.namesakeYoung Adult0302 clinical medicineSex FactorsRisk FactorsGermanymedicineHumans030212 general & internal medicinePoisson regressionYoung adultChildAgedAged 80 and overbusiness.industryCampylobacterIncidence (epidemiology)IncidenceAge FactorsInfant NewbornInfantCommunicable Diseases/epidemiologyMiddle Agedmedicine.diseaseOriginal PapersInfectious DiseasesInfectious disease (medical specialty)Child PreschoolsymbolsFemalebusinessEncephalitisDemography
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Detecting differences with magnetoencephalography of somatosensory processing after tactile and electrical stimuli.

2018

Abstract Background Deviant stimuli within a standard, frequent stimulus train induce a cortical somatosensory mismatch response (SMMR). The SMMR reflects the brain’s automatic mechanism for the detection of change in a somatosensory domain. It is usually elicited by electrical stimulation, which activates nerve fibers and receptors in superficial and deep skin layers, whereas tactile stimulation is closer to natural stimulation and activates uniform fiber types. We recorded SMMRs after electrical and tactile stimuli. Method 306-channel magnetoencephalography recordings were made with 16 healthy adults under two conditions: electrical (eSMMR) and tactile (tSMMR) stimulations. The SMMR proto…

0301 basic medicineAdultMaleAdolescenthuman sensory cortexStimulationStimulus (physiology)Somatosensory systemta3112Tactile stimulikosketusaisti03 medical and health sciencesYoung Adult0302 clinical medicineEvoked Potentials SomatosensoryPhysical StimulationmedicineHumansaivotutkimuscutaneous nerve stimulationSensory stimulation therapyMEGmedicine.diagnostic_testbusiness.industryfunctional brain imagingGeneral NeuroscienceMagnetoencephalographySignal Processing Computer-AssistedMagnetoencephalographySomatosensory Cortexmismatch responseElectric StimulationLong latency030104 developmental biologyTouch Perceptiontactile stimulationFemalebusinessNeuroscienceTactile processing030217 neurology & neurosurgeryärsykkeetJournal of neuroscience methods
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Cognitive network hyperactivation and motor cortex decline correlate with ALS prognosis.

2021

We aimed to quantitatively characterize progressive brain network disruption in Amyotrophic Lateral Sclerosis (ALS) during cognition using the mismatch negativity (MMN), an electrophysiological index of attention switching. We measured the MMN using 128-channel EEG longitudinally (2-5 timepoints) in 60 ALS patients and cross-sectionally in 62 healthy controls. Using dipole fitting and linearly constrained minimum variance beamforming we investigated cortical source activity changes over time. In ALS, the inferior frontal gyri (IFG) show significantly lower baseline activity compared to controls. The right IFG and both superior temporal gyri (STG) become progressively hyperactive longitudina…

0301 basic medicineAdultMaleAgingmedicine.medical_specialtyMismatch negativityPrefrontal CortexElectroencephalographyAudiologybehavioral disciplines and activities03 medical and health sciences0302 clinical medicineCognitionmedicineHumansAttentionCognitive DysfunctionAmyotrophic lateral sclerosisAgedAged 80 and overHyperactivationmedicine.diagnostic_testbusiness.industryGeneral NeuroscienceAmyotrophic Lateral SclerosisMotor CortexCognitionElectroencephalographyMiddle Agedmedicine.diseasePrognosisTemporal LobeElectrophysiology030104 developmental biologymedicine.anatomical_structureCross-Sectional StudiesDisinhibitionFemaleNeurology (clinical)Geriatrics and Gerontologymedicine.symptombusiness030217 neurology & neurosurgeryDevelopmental BiologyMotor cortexNeurobiology of aging
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