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[PDF] Top 20 Skull conductivity estimation for EEG source localization

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Skull conductivity estimation for EEG source localization

Skull conductivity estimation for EEG source localization

... sparsity for recovering point-like brain ...the skull conductivity jointly with the brain activity in a com- pletely unsupervised ...the skull conductivity of the ...lem for ... Voir le document complet

6

Influence of skull modelling on conductivity estimation for EEG source analysis

Influence of skull modelling on conductivity estimation for EEG source analysis

... The skull conductivity strongly influences the accuracy of EEG source localization methods ...the conductivity of the skull has strong inter-individual variability, ... Voir le document complet

2

Bayesian M/EEG source localization with possible joint skull conductivity estimation

Bayesian M/EEG source localization with possible joint skull conductivity estimation

... localization problem, the models and algorithms that have been devel- oped are not restricted to this ...technique for any inverse problem characterized by a sparse solution. For instance, we have ... Voir le document complet

144

Patient specific conductivity models: characterization of the skull bones.

Patient specific conductivity models: characterization of the skull bones.

... frequently, for piecewise constant conductivities, the sub-domain (supporting the unknown conductivity value) is also to be determined, in some cases this is even more important than the constant ... Voir le document complet

115

Brain source localization using a physics-driven structured cosparse representation of EEG signals

Brain source localization using a physics-driven structured cosparse representation of EEG signals

... novel source localization method, named CoRE, which uses a Cosparse Representation of EEG ...by EEG signals, and more particularly from Pois- son’s ...orientations for current dipoles, ... Voir le document complet

7

Bayesian EEG source localization using a structured sparsity prior

Bayesian EEG source localization using a structured sparsity prior

... the localization of the main sources of the brain activity to help making decisions when selecting candidate patients for recessive surgery, in the case of discretely localized epilepsy ( Berg et ...the ... Voir le document complet

12

Multiway Space-Time-Wave-Vector Analysis for Source Localization and Extraction

Multiway Space-Time-Wave-Vector Analysis for Source Localization and Extraction

... to EEG data and investigate the influence of various parameters on the capability of localizing superficial, radially oriented dipole sources with the help of computer ...noisy EEG data, where artifacts ... Voir le document complet

6

Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints

Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints

... hand, EEG measures the neuronal electrical activity of the brain in the scale of ...the localization of the active electric sources from EEG is only possible by solving an inverse problem which is ... Voir le document complet

9

Multi-way Space-Time-WaveVector analysis for EEG source separation

Multi-way Space-Time-WaveVector analysis for EEG source separation

... the source time signals prior to the ac- tual source ...the estimation error of the leadfield matrix is reduced, which improves the perfomance of the source localization as can be seen ... Voir le document complet

38

Improved MEG/EEG source localization with reweighted mixed-norms

Improved MEG/EEG source localization with reweighted mixed-norms

... data For evaluating the performance of MxNE and irMxNE on real MEG data, we use data recorded during left auditory stimulation, which is part of a publicly available MEG/EEG dataset ...samples/s. For ... Voir le document complet

5

Fast Approximation of EEG Forward Problem and Application to Tissue Conductivity Estimation

Fast Approximation of EEG Forward Problem and Application to Tissue Conductivity Estimation

... step for simultaneous estimation of brain sources’ activities and head tissues conduc- ...approach for solving this inverse problem, based on single dipole data fitting, to show that our method can ... Voir le document complet

11

Inverse skull conductivity estimation problems from EEG data

Inverse skull conductivity estimation problems from EEG data

... [2] G. Chavent, K. Kunisch. The Output Least Squares Identifiability of the Diffusion Coefficient from an H1–Observation in a 2–D Elliptic Equation. ESAIM: Control, Optimisation and Calculus of Variations, 8, 423-440, ... Voir le document complet

2

Source Localization with MIMO Systems

Source Localization with MIMO Systems

... Sources localization is used in radar, sonar, and ...targets localization is also important because of many indoor ...sources localization techniques use Fresnel ap- proximation in which the real ... Voir le document complet

123

A blind dereverberation method for narrowband source localization

A blind dereverberation method for narrowband source localization

... at 628 Hz (i.e. a wavelength of 0.54cm), and 36 functions are used to approximate the homogeneous field (in 3D, products of spherical Bessel functions and spherical harmonics of order up to 5). The energy of the ... Voir le document complet

12

A Bayesian stochastic machine for sound source localization

A Bayesian stochastic machine for sound source localization

... B. Related work The goal of an inference machine is to compute a (posterior) probability distribution based on a number of evidences and priors. There are several ways to represent and process proba- bility ... Voir le document complet

9

Comparison of beamformer implementations for MEG source localization

Comparison of beamformer implementations for MEG source localization

... 10 where the 𝑀 × 3 matrix 𝐖(𝑟 𝑗 ) is known as spatial filter for a source at location 𝑟 𝑗 . This type of spatial 263 filter provides a vector type beamformer by separately estimating the activity ... Voir le document complet

37

Timing cues for azimuthal sound source localization

Timing cues for azimuthal sound source localization

... sound localization ❚❤✐s ♣❛rt ✐s ✐♥tr♦❞✉❝❡❞ ❜② ❛ r❡✈✐❡✇ ♦❢ t❤❡ ❝✉rr❡♥t ❦♥♦✇❧❡❞❣❡ ♦♥ t❤❡ ❜✐♥❛✉r❛❧ ■❚❉ s❡♥s✐t✐✈❡ s②st❡♠ ✐♥ ♠❛♠♠❛❧s ✭❈❤❛♣t❡r ✺ ✮✳ ■t ❞❡✈❡❧♦♣s ❜♦t❤ ❤♦✇ s✐♥❣❧❡ ❜✐♥❛✉r❛❧ ♥❡✉r♦♥s ❝❛♥ ❜❡ ♠❛❞❡ t♦ ❜❡ t✉♥❡❞ t♦ ... Voir le document complet

279

Connectivity-informed solution for spatio-temporal M/EEG source reconstruction

Connectivity-informed solution for spatio-temporal M/EEG source reconstruction

... Abstract: Recovering brain activity from M/EEG measurements is an ill–posed problem and prior constraints need to be introduced in order to obtain unique solution [1]. The majority of the methods use spatial ... Voir le document complet

2

Active Decentralized Scale Estimation for Bearing-Based Localization

Active Decentralized Scale Estimation for Bearing-Based Localization

... hand for estimating a subset of (at least one) inter-agent ...bearing-based localization algorithm proposed in [18], this allows to retrieve a correctly scaled estimation of the formation ... Voir le document complet

9

PyLayers: An open source dynamic simulator for indoor propagation and localization

PyLayers: An open source dynamic simulator for indoor propagation and localization

... gorithm is often a complicate task because performances highly depend on the chosen test environment. Three main ap- proaches are generally retained to perform such an evaluation. First one consists in using statistical ... Voir le document complet

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