Search results for "Eeg"

showing 10 items of 313 documents

Brain Controlled Architecture for Human-Human Interaction Mediated by a Humanoid Robot

2017

This paper presents an Assistive social robots architecture designed for social interaction with humans, mediated by a humanoid robot. The architecture has been designed for being used by people with severe paralysis and the architecture has been tested by a user affected by amyotrophic lateral sclerosis (ALS) in a locked-in state. The system allows the patient to communicate with the stakeholders using a Brain Controlled Interface, based on Evoked Response Potentials (ERP), to express needing, feelings or writing phases. Stakeholders visualize messages sent by the patient on a GUI and use a tele operated humanoid robot as an avatar of them to extend their physical presence to interact with…

Social robotAssistive RoboticComputer scienceInterface (computing)Brain Computer InterfaceBrain Computer Interface; Social Robotics; Assistive Robotics; Architecture; EEG; ERP; Human-Humanoid InteractionCommunications systemHuman–robot interactionHuman–computer interactionArchitectureRobotHuman-Humanoid InteractionEEGSocial RoboticERPHumanoid robotBrain–computer interfaceAvatarInternational Robotics & Automation Journal
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The effect of alternating different water qualities on accumulation and leaching of solutes in a Mediterranean cracking soil

2002

The relevance of bypass flow on water flow, solute or pesticide transport is becoming increasingly recognized. Recent investigations proved that soil salinization may be influenced by bypass flow, i.e. the rapid transport of water and solutes via macropores and/or shrinkage cracks to subsoil and groundwater. This paper explores the role of bypass flow in the process of accumulation and leaching of solutes, as well as of sodium, in a Mediterranean cracking soil irrigated with saline/sodic waters. The results of bypass flow experiments performed on undisturbed soil cores showed that leaching of solutes occurred in concomitance with bypass fluxes when a low salinity solution was alternated wit…

Soil salinitySoil testWater flowcrackingSoil sciencesalinizationcomplex mixturesirrigationclay soilsuitspoelenLeaching (agriculture)salt movementWater Science and TechnologyHydrologymodelLaboratorium voor Bodemkunde en geologieMacroporescheurvormingbypass flowSoil physicsLaboratory of Soil Science and Geologypredictionzware kleigrondenfieldLeaching modelleachingSoil watermiddellandse-zeegebiedverziltingirrigatiehydraulic conductivitymediterranean regionGeologystructured clay soilHydrological Processes
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Brain responses to speech sounds in infants and children with and without familial risk for dyslexia

2015

Dyslexia, a specific reading disability, runs in families. Therefore, the risk for a child to become dyslexic increases multifold if reading difficulties occur in the family. One risk factor for dyslexia is a deficit in speech perception. Using EEG, speech sound discrimination was found to be more demanding than non- speech discrimination in typical readers in Study I. In Study II, in children with dyslexia in 3rd grade, enhanced brain responses were observed and found to be associated with better performance in reading accuracy, spelling accuracy and phonemic length discrimination tasks. The brain responses of the most accurate readers in the dyslexia group originated from a more posterior…

Speech perceptionpuheääniherätevasteetvauvatriskitekijätkuulohavainnotperinnöllinen alttiusfonologinen tietoisuusDyslexiaevent-related potentials (ERP)puheen havaitseminendysleksiaelectroencephalography (EEG)EEGfamilial risklukihäiriötpoikkeavuusnegatiivisuusInfantsChildrensuvullinen riskilapset
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Estimating the decomposition of predictive information in multivariate systems

2015

In the study of complex systems from observed multivariate time series, insight into the evolution of one system may be under investigation, which can be explained by the information storage of the system and the information transfer from other interacting systems. We present a framework for the model-free estimation of information storage and information transfer computed as the terms composing the predictive information about the target of a multivariate dynamical process. The approach tackles the curse of dimensionality employing a nonuniform embedding scheme that selects progressively, among the past components of the multivariate process, only those that contribute most, in terms of co…

Statistics and ProbabilityComputer scienceEntropyTRANSFER ENTROPYStochastic ProcesseInformation Storage and RetrievalheartAPPROXIMATE ENTROPYMaximum entropy spectral estimationInformation theoryGRANGER CAUSALITYJoint entropyNonlinear DynamicMECHANISMSBinary entropy functionTheoreticalHeart RateModelsInformationSLEEP EEGStatisticsOSCILLATIONSTOOLEntropy (information theory)Multivariate AnalysiElectroencephalography; Entropy; Heart Rate; Information Storage and Retrieval; Linear Models; Nonlinear Dynamics; Sleep; Stochastic Processes; Models Theoretical; Multivariate AnalysisConditional entropyStochastic ProcessesHEART-RATE-VARIABILITYCOMPLEXITYConditional mutual informationBrainElectroencephalographyModels TheoreticalScience GeneralCondensed Matter PhysicscardiorespiratoryNonlinear DynamicsPHYSIOLOGICAL TIME-SERIESSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisLinear ModelsLinear ModelTransfer entropySleepAlgorithmStatistical and Nonlinear Physic
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An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals

2022

Emotion charting using multimodal signals has gained great demand for stroke-affected patients, for psychiatrists while examining patients, and for neuromarketing applications. Multimodal signals for emotion charting include electrocardiogram (ECG) signals, electroencephalogram (EEG) signals, and galvanic skin response (GSR) signals. EEG, ECG, and GSR are also known as physiological signals, which can be used for identification of human emotions. Due to the unbiased nature of physiological signals, this field has become a great motivation in recent research as physiological signals are generated autonomously from human central nervous system. Researchers have developed multiple methods for …

Support Vector MachineEmotionsWavelet AnalysisHumansElectroencephalographyElectrical and Electronic EngineeringArousalemotion charting; EEG signals; physiological signals; ECG signals; ICA; stacked autoencoder; ensemble classifierVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550BiochemistryInstrumentationAtomic and Molecular Physics and OpticsAnalytical ChemistrySensors
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Prismatic Adaptation as a new tool for non-invasive brain modulation: evidence from different neurophysiological techniques.

TMSMotor cortexPrismatic AdaptationEEGPrismatic Adaptation; Motor cortex; TMS; tDCS; EEGtDCS
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Hippocampal theta (3-8 Hz) activity during classical eyeblink conditioning in rabbits

2007

In 1978, Berry and Thompson showed that the amount of theta (3–8 Hz) activity in the spontaneous hippocampal EEG predicted learning rate in subsequent eyeblink conditioning in rabbits. More recently, the absence of theta activity during the training trial has been shown to have a detrimental effect on learning rate. Here, we aimed to further explore the relationship between theta activity and classical eyeblink conditioning by determining how the relative power of hippocampal theta activity [theta/(theta + delta) ratio] changes during both unpaired control and paired training phases. We found that animals with a higher hippocampal theta ratio immediately before conditioning learned faster a…

Time FactorsCognitive NeuroscienceCentral nervous systemeducationHippocampusExperimental and Cognitive PsychologyHippocampal formationElectroencephalographyHippocampusBehavioral Neurosciencemedicinedelay ehdollistaminenAnimalsLearninghippokampusEEGTheta Rhythmmedicine.diagnostic_testBehavior AnimalClassical conditioningConditioning EyelidClassical conditioningElectrodes ImplantedElectrophysiologymedicine.anatomical_structureEyeblink conditioningConditioningFemaleRabbitsPsychologyklassinen ehdollistaminenNeuroscienceDelay conditioning
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A method for the time-varying nonlinear prediction of complex nonstationary biomedical signals

2009

A method to perform time-varying (TV) nonlinear prediction of biomedical signals in the presence of nonstationarity is presented in this paper. The method is based on identification of TV autoregressive models through expansion of the TV coefficients onto a set of basis functions and on k -nearest neighbor local linear approximation to perform nonlinear prediction. The approach provides reasonable nonlinear prediction even for TV deterministic chaotic signals, which has been a daunting task to date. Moreover, the method is used in conjunction with a TV surrogate method to provide statistical validation that the presence of nonlinearity is not due to nonstationarity itself. The approach is t…

Time FactorsComputer scienceSpeech recognitionChaoticBiomedical EngineeringBasis functionModels BiologicalSurrogate dataYoung AdultHeart RatePredictive Value of TestsNonstationary signalHumansComputer SimulationEEGPredictabilitySignal processingNonlinear dynamicElectroencephalographySignal Processing Computer-AssistedComplexityLocal nonlinear predictionNonlinear systemNonlinear DynamicsAutoregressive modelData Interpretation StatisticalSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaLinear approximationSurrogate dataAlgorithmHeart rate variability (HRV)Algorithms
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Does the brain know who is at the origin of what in an imitative interaction?

2012

International audience; Brain correlates of the sense of agency have recently received increased attention. However, the explorations remain largely restricted to the study of brains in isolation. The prototypical paradigm used so far consists of manipulating visual perception of own action while asking the subject to draw a distinction between self- versus externally caused action. However, the recent definition of agency as a multifactorial phenomenon combining bottom-up and top-down processes suggests the exploration of more complex situations. Notably there is a need of accounting for the dynamics of agency in a two-body context where we often experience the double faceted question of w…

Visual perception[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionAgency (philosophy)Behavioral Neuroscience0302 clinical medicineOriginal Research ArticleSEQUENTIAL FINGER MOVEMENTSEEGPERSPECTIVE-TAKINGmedia_common[ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging05 social sciencesMU-RHYTHMSMEG-DATAPsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyBAND OSCILLATIONS[ SCCO.NEUR ] Cognitive science/NeuroscienceIsolation (psychology)ImitationImitationPsychologySocial psychologyCognitive psychologySOCIAL-INTERACTIONmedia_common.quotation_subjectEEG EVIDENCEContext (language use)MIRROR-NEURON SYSTEM050105 experimental psychologylcsh:RC321-571BODY-OWNERSHIP03 medical and health sciences0501 psychology and cognitive sciencesagency;hyperscanning;EEG;imitation;social interaction;SEQUENTIAL FINGER MOVEMENTS;MIRROR-NEURON SYSTEM;SOCIAL-INTERACTION;PERSPECTIVE-TAKING;BAND OSCILLATIONS;BODY-OWNERSHIP;EEG EVIDENCE;RUBBER HAND;MU-RHYTHMS;MEG-DATARUBBER HANDhyperscanninglcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatrySense of agency[SCCO.NEUR]Cognitive science/NeuroscienceNeurosciencessocial interactionSocial relationAction (philosophy)Neurons and Cognitionagency[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition030217 neurology & neurosurgeryNeuroscience
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Multivariate EEG spectral analysis evidences the functional link between motor and visual cortex during integrative sensorimotor tasks

2012

The identification of the networks connecting brain areas and the understanding of their role in executing complex tasks is a crucial issue in cognitive neuroscience. In this study, specific visuomotor tasks were devised to reveal the functional network underlying the cooperation process between visual and motor regions. Electroencephalography (EEG) data were recorded from twelve healthy subjects during a combined visuomotor task, which integrated precise grip motor commands with sensory visual feedback (VM). This condition was compared with control tasks involving pure motor action (M), pure visual perception (V) and visuomotor performance without feedback (V + M). Multivariate parametric …

Visual perceptiongenetic structuresComputer scienceProcess (engineering)Health InformaticsSensory systemCognitive neuroscienceElectroencephalographybehavioral disciplines and activitiesTask (project management)Functional connectivitymedicineEEGHealth Informaticmedicine.diagnostic_testbusiness.industryCoherence (statistics)Visuomotor integrationVisual cortexmedicine.anatomical_structurePowerSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaArtificial intelligencebusinessNeuroscienceCoherencepsychological phenomena and processes
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