Articles with "source reconstruction" as a keyword



Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources

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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

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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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Published in 2017 at "IEEE Antennas and Wireless Propagation Letters"

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

An Improved Source Reconstruction Method for Antenna Measurements in Complex Environments

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Published in 2025 at "IEEE Antennas and Wireless Propagation Letters"

DOI: 10.1109/lawp.2025.3614180

Abstract: This letter proposes a novel source reconstruction method for antenna measurements in complex environments where scatterers are located near the antenna. Independent equivalent sources are established for the antenna and scatterer, and their current distributions… read more here.

Keywords: method; source reconstruction; source; method antenna ... See more keywords

Determining Equivalent Dipoles Using a Hybrid Source-Reconstruction Method for Characterizing Emissions From Integrated Circuits

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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

Enhancing Brain Source Reconstruction by Initializing 3D Neural Networks with Physical Inverse Solutions.

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Published in 2025 at "IEEE transactions on medical imaging"

DOI: 10.1109/tmi.2025.3594724

Abstract: Reconstructing brain sources is a fundamental challenge in neuroscience, crucial for understanding brain function and dysfunction. Electroencephalography (EEG) signals have a high temporal resolution. However, identifying the correct spatial location of brain sources from these… read more here.

Keywords: brain source; brain; source reconstruction; source ... See more keywords

Neural correlates of recalled sadness, joy, and fear states: a source reconstruction EEG study

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Published in 2024 at "Frontiers in Psychiatry"

DOI: 10.3389/fpsyt.2024.1357770

Abstract: Introduction The capacity to understand the others’ emotional states, particularly if negative (e.g. sadness or fear), underpins the empathic and social brain. Patients who cannot express their emotional states experience social isolation and loneliness, exacerbating… read more here.

Keywords: brain; fear; joy; source reconstruction ... 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

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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