Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources
Sign Up to like & getrecommendations! Published in 2019 at "Brain Topography"
DOI: 10.1007/s10548-019-00705-z
Abstract: Electrical activity recorded on the scalp using electroencephalography (EEG) results from the mixing of signals originating from different regions of the brain as well as from artifactual sources. In order to investigate the role of… read more here.
Keywords: source; connectivity; source reconstruction; brain ... See more keywords
Recent Developments in Spatio-Temporal EEG Source Reconstruction Techniques
Sign Up to like & getrecommendations! Published in 2022 at "Wireless Personal Communications"
DOI: 10.1007/s11277-021-08960-9
Abstract: EEG is gaining recognition in the field of real-time applications. However, the EEG inverse problem leads to poor spatial resolution in brain source localization. This paper presents an overview of the existing EEG inverse solution… read more here.
Keywords: recent developments; eeg; source reconstruction; localization ... See more keywords
Using the Source Reconstruction Method to Model Incident Fields in Microwave Tomography
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DOI: 10.1109/lawp.2016.2554059
Abstract: In microwave tomography (MWT), the incident field is often collected only on the measurement domain, external to the imaging domain. This is a challenge for MWT inversion algorithms as they require the knowledge of the… read more here.
Keywords: microwave tomography; field; source reconstruction; reconstruction method ... See more keywords
Determining Equivalent Dipoles Using a Hybrid Source-Reconstruction Method for Characterizing Emissions From Integrated Circuits
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Electromagnetic Compatibility"
DOI: 10.1109/temc.2016.2638758
Abstract: An efficient emission model for radiation problems in integrated circuits (ICs) is required at the early phase of industrial design. Traditional source-reconstruction methods rely exclusively on near-field scanning and lack the flexibility needed to handle… read more here.
Keywords: integrated circuits; source; source reconstruction; model ... See more keywords
On the model uncertainties in Bayesian source reconstruction using an ensemble of weather predictions, the emission inverse modelling system FREAR v1.0, and the Lagrangian transport and dispersion model Flexpart v9.0.2
Sign Up to like & getrecommendations! Published in 2021 at "Geoscientific Model Development"
DOI: 10.5194/gmd-14-1237-2021
Abstract: Abstract. Bayesian source reconstruction is a powerful tool for determining atmospheric releases. It can be used, amongst other applications, to identify a point source releasing radioactive particles into the atmosphere. This is relevant for applications… read more here.
Keywords: transport dispersion; model; source; source reconstruction ... See more keywords