Search results for "LOOCV"

showing 2 items of 2 documents

An augmented MFS approach for brain activity reconstruction

2017

Abstract Weak electrical currents in the brain flow as a consequence of acquisition, processing and transmission of information by neurons, giving rise to electric and magnetic fields, which can be modeled by the quasi-stationary approximation of Maxwell’s equations. Electroencephalography (EEG) and magnetoencephalography (MEG) techniques allow for reconstructing the cerebral electrical currents and thus investigating the neuronal activity in the human brain in a non-invasive way. This is a typical electromagnetic inverse problem which can be addressed in two stages. In the first one a physical and geometrical representation of the head is used to find the relation between a given source mo…

Electromagnetic fieldNumerical AnalysisGeneral Computer Sciencemedicine.diagnostic_testApplied MathematicsScalar (physics)010103 numerical & computational mathematicsMagnetoencephalographyInverse problem01 natural sciencesFinite element methodTheoretical Computer Science010101 applied mathematicsSettore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaMethod of Fundamental Solutions Boundary value problems M/EEG LOOCV algorithmModeling and SimulationmedicineMethod of fundamental solutionsBoundary value problem0101 mathematicsBoundary element methodAlgorithmMathematics
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Detection of the human brain activity with fundamental solution method

2018

Human brain activity mapping is a fundamental task for the neurophysiological research and for the diagnostic purposes too. Non-invasive techniques such as Electroencephalography (EEG) and magnetoencephalography (MEG) allow the reconstruction of the cerebral electrical currents providing useful information on the neuronal activity in the human brain. Based on a typical inverse problem the M/EEG imaging techniques require to solve more times a forward one. In this paper we discuss on a numerical tool based on the Method of the Fundamental Solutions(MFS) to efficiently solve the M/EEG forward problem going over the BEM state-of-the-art procedure. Inspired by the Leave-One-Out Cross Validation…

Settore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaMEGLOOCVMFS
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