EEG extended source localization: Tensor-based vs. conventional methods
نویسندگان
چکیده
منابع مشابه
Combination of Beamforming and Synchronization Methods for Epileptic Source Localization, using Simulated EEG Signals
Localization of sources in patients with focal seizure has recently attracted many attentions. In the severe cases of focal seizure, there is a possibility of doing neurosurgery operation to remove the defected tissue. The prosperity of this heavy operation completely depends on the accuracy of source localization. To increase this accuracy, this paper presents a new weighted beamforming method...
متن کاملEEG Source Localization Using the Inverse Problem Methods
An Electroencephalography (EEG) inverse solution technique can be seen as a way to add spatial information to extra-cranial measurements. In other words, it is a mathematical/physical way to expand the dimensionality of scalp measurements so as to embed intra-cranial spatial information. This paper presents the new sLORETA-FOCUSS approach estimating the current density distribution in the brain...
متن کاملcombination of beamforming and synchronization methods for epileptic source localization, using simulated eeg signals
localization of sources in patients with focal seizure has recently attracted many attentions. in the severe cases of focal seizure, there is a possibility of doing neurosurgery operation to remove the defected tissue. the prosperity of this heavy operation completely depends on the accuracy of source localization. to increase this accuracy, this paper presents a new weighted beamforming method...
متن کاملEEG source localization Based on Dynamic Bayesian Estimation Techniques
In this paper, we propose a solution to the EEG source localization problem considering its time-dynamic behavior. From the dynamic probabilistic model of the problem, we formulate the Kalman Filter and Particle Filter solutions for the dipolar and non-linear approach. In order to test the algorithms, we designed an experimental protocol based on error-related potentials. During the experiments...
متن کاملSparse Bayesian Learning for EEG Source Localization
Purpose: Localizing the sources of electrical activity from electroencephalographic (EEG) data has gained considerable attention over the last few years. In this paper, we propose an innovative source localization method for EEG, based on Sparse Bayesian Learning (SBL). Methods: To better specify the sparsity profile and to ensure efficient source localization, the proposed approach considers g...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: NeuroImage
سال: 2014
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2014.03.043