Amanote Research
Register
Sign In
MEG-EEG Fusion by Kalman Filtering Within a Source Analysis Framework
doi 10.1109/embc.2013.6610626
Full Text
Open PDF
Abstract
Available in
full text
Date
July 1, 2013
Authors
Laith Hamid
Umit Aydin
Carsten Wolters
Ulrich Stephani
Michael Siniatchkin
Andreas Galka
Publisher
IEEE
Related search
Reproducibility of EEG-MEG Fusion Source Analysis of Interictal Spikes: Relevance in Presurgical Evaluation of Epilepsy
Human Brain Mapping
Nuclear Medicine
Radiology
Ultrasound Technology
Anatomy
Radiological
Neurology
Imaging
Scanning Reduction Strategy in MEG/EEG Beamformer Source Imaging
Journal of Applied Mathematics
Applied Mathematics
Matrix Kernels for MEG and EEG Source Localization and Imaging
EEG/MEG Source Imaging Using fMRI Informed Time-Variant Constraints
Human Brain Mapping
Nuclear Medicine
Radiology
Ultrasound Technology
Anatomy
Radiological
Neurology
Imaging
Performance Analysis of Reduced-Rank Beamformers for Estimating Dipole Source Signals Using EEG/MEG
IEEE Transactions on Biomedical Engineering
Biomedical Engineering
Source Estimates for MEG/EEG Visual Evoked Responses Constrained by Multiple, Retinotopically-Mapped Stimulus Locations
Human Brain Mapping
Nuclear Medicine
Radiology
Ultrasound Technology
Anatomy
Radiological
Neurology
Imaging
Distributed Kalman Filtering and Control Through Embedded Average Consensus Information Fusion
IEEE Transactions on Automatic Control
Control
Systems Engineering
Computer Science Applications
Electrical
Electronic Engineering
Statistical Performance Analysis of Signal Variance-Based Dipole Models for MEG/EEG Source Localization and Detection
IEEE Transactions on Biomedical Engineering
Biomedical Engineering
Multiple Kinect Sensor Fusion for Human Skeleton Tracking Using Kalman Filtering
International Journal of Advanced Robotic Systems
