Search results for " EEG"

showing 10 items of 78 documents

Beyond the BEM Solution of the M/EEG Forward Problem: a Meshfree Approach

2014

Settore ING-IND/31 - ElettrotecnicaSettore MAT/08 - Analisi Numericameshfree solver EEG
researchProduct

Unusual paroxysmal autonomic manifestations in a 22 month old girl

2014

Settore MED/38 - Pediatria Generale E Specialisticaepilepsy autonomic manifestations EEG
researchProduct

Oloprosencefalia semilobare: aspetti elettroencefalografici

2009

oloprosoencefalia,

Settore MED/38 - Pediatria Generale E Specialisticaoloprosoencefalia EEGSettore MED/39 - Neuropsichiatria Infantile
researchProduct

Mutual Information Analysis of Brain-Heart Interactions in Epileptic Children

2021

In this work we apply the network physiology paradigm to retrieve information from central and autonomic nervous systems before focal epileptic seizure, represented respectively by electroencephalogram (EEG) signals and R-R intervals (RRI), and investigate on the presence and strength of brain-heart interactions by computing mutual information (MI) measures. Statistical significance of MI values was tested through surrogate time series generated with the random shuffle approach. Our results suggest that the proposed method for aligning signals representing brain and heart activity measured with different sampling rates, is capable of revealing coupling between RRI representing heart system,…

Signal processingmedicine.diagnostic_testbusiness.industryTotal frequencySpectral densityPattern recognitionMutual informationHeart activityElectroencephalographyEpilepsy seizure EEG R-R intervals mutual information brain-heart interactionsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticamedicineArtificial intelligenceEpileptic seizuremedicine.symptombusinessMathematics
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

Diagnostic and therapeutic aspects of hemiplegic migraine

2020

Hemiplegic migraine (HM) is a clinically and genetically heterogeneous condition with attacks of headache and motor weakness which may be associated with impaired consciousness, cerebellar ataxia and intellectual disability. Motor symptoms usually last <72 hours and are associated with visual or sensory manifestations, speech impairment or brainstem aura. HM can occur as a sporadic HM or familiar HM with an autosomal dominant mode of inheritance. Mutations in CACNA1A, ATP1A2 and SCN1A encoding proteins involved in ion transport are implicated. The pathophysiology of HM is close to the process of typical migraine with aura, but appearing with a lower threshold and more severity. We review…

Weaknessmedicine.medical_specialtyMigraine with AuraElectroencephalographyMotor symptomsDiagnosis Differentialclinical neurology; EEG; headache; ion transportion transport03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationIntellectual disabilitymedicineHumansclinical neurology1506EEGMigraine030304 developmental biology0303 health sciencesCerebellar ataxiamedicine.diagnostic_testbusiness.industryDisease ManagementEEG; clinical neurology; headache; ion transportmedicine.diseasePedigreeClinical neurologyImpaired consciousnessPsychiatry and Mental healthMutationHemiplegic migraineSettore MED/26 - NeurologiaSurgeryCalcium ChannelsNeurology (clinical)medicine.symptombusinessheadache030217 neurology & neurosurgeryJournal of Neurology, Neurosurgery & Psychiatry
researchProduct

Visual and acoustic techniques for motorcycle collision warning system with EEG validation

2018

In many countries, motorcyclist fatality rate is much higher than that of other vehicle drivers. Among many other factors, motorcycle rear-end collisions are also contributing to these biker fatalities. Collision detection systems can be used to minimize these fatalities. However, most of the existing collision detection systems do not identify the type of potential hazard faced by motorcyclists. Every collision warning system used a distinctive collision detection technique, which limits its performance and makes it imperative to study its effectiveness. Unfortunately, no such work has been reported in that particular domain for motorcyclists. Therefore, it is important to study the physio…

[SPI.OTHER]Engineering Sciences [physics]/OtherCollision Detection[SPI.OTHER] Engineering Sciences [physics]/OtherAnalyse de signaux EEGEEG analysisDetection de collision[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
researchProduct