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Sparse Bayesian image restoration with linear operator uncertainties with application to EEG signal recovery
2014
2nd Middle East Conference on Biomedical Engineering
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The proposed approach relies on a Bayesian formulation which is applied to EEG signal recovery. ...
Sparse signal/image recovery is a challenging topic that has captured a great interest during the last decades, especially in the biomedical field. ...
We propose to adopt a sparse regularization strategy for estimating the unknown signal x via a Bayesian framework. ...
doi:10.1109/mecbme.2014.6783225
fatcat:knmxwxup35gazdnox4uprmre7q
Electrophysiological Source Imaging: A Noninvasive Window to Brain Dynamics
2018
Annual Review of Biomedical Engineering
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Electrophysiological source imaging estimates the underlying brain electrical sources from EEG and MEG measurements. ...
It is important to image brain dynamics with high spatial and temporal resolution. ...
ACKNOWLEDGEMENTS This work was supported in part by NIH EB021027, NS096761, MH114233, AT009263, EY023101, MH104402, EB008389, HL117664, NSF CBET-1450956, and NSF DGE-1069104. ...
doi:10.1146/annurev-bioeng-062117-120853
pmid:29494213
pmcid:PMC7941524
fatcat:xypqgl7snbbnnidrn5ddepj6tu
Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization
[article]
2021
arXiv
pre-print
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Here we propose a deep learning framework using spatial basis function decomposition for EEG source localization. ...
Our proposed deep learning framework can be extended to account for other source priors, and the real-time property of ESBN can facilitate the applications of EEG in brain-computer interfaces and clinics ...
(a) LE for signals with different SNRs (b) AUC for signals with different SNRs Fig. 3. The effect of SNR on localization performance. We vary the signal-to-noise ratio SN R at sensor level (Eq.21). ...
arXiv:2102.09188v3
fatcat:tsd5ccpe7fd5dmnsrj5m7xzag4
A parallel framework for simultaneous EEG/fMRI analysis: Methodology and simulation
2010
NeuroImage
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Consequently, STEFF achieves flexible and sparse matching among EEG and fMRI components with common neuronal substrates. ...
This approach enables information one modality to be utilized as priors for the other and hence improves the spatial (for EEG) or temporal (for fMRI) resolution of the other modality. ...
However, the support areas of this approach are very local and sparse. For fMRI-weighted MNE, the weights are 1 and 0.1 for visible and invisible fMRI source locations (Liu et al., 1998) . ...
doi:10.1016/j.neuroimage.2010.01.024
pmid:20083208
fatcat:muwcsd2bkfeezbolvqololjsge
A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging
2018
Inverse Problems
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In the context of M/EEG, each mode corresponds to a plausible configuration of neural sources, which is crucial for data interpretation, especially in clinical contexts. ...
This work shows that for certain hierarchical models, a simple alternating scheme to compute fully Bayesian maximum a posteriori (MAP) estimates leads to the exact same sequence of updates as a standard ...
Acknowledgments The authors would like to thank Mathurin Massias for its valuable suggestions and proofreading of the manuscript. ...
doi:10.1088/1361-6420/aac9b3
fatcat:f7zhmnkvezh37aio3u36x4hij4
A Space-Time-Frequency Dictionary for Sparse Cortical Source Localization
2016
IEEE Transactions on Biomedical Engineering
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(STF) dictionary to demonstrate the improvements of our multidimensional approach. ...
Cortical source imaging aims at identifying activated cortical areas on the surface of the cortex from the raw EEG data. ...
In this context of MP localization, the only approach to our knowledge taking benefit of such time-frequency features in the EEG signal was proposed by [15] as a sparse representation of EEG/MEG data ...
doi:10.1109/tbme.2015.2508675
pmid:26685223
fatcat:ye2wbfw6gbhmfj6xwvljev5m34
Real-time neuroimaging and cognitive monitoring using wearable dry EEG
2015
IEEE Transactions on Biomedical Engineering
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Significance-This paper is the first validated application of these methods to 64-channel dry EEG. ...
Methods- The system integrates a 64-channel dry EEG form-factor with wireless data streaming for online analysis. ...
The U.S Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.
Biographies ...
doi:10.1109/tbme.2015.2481482
pmid:26415149
pmcid:PMC4710679
fatcat:ga7diwcisbdzladqgw2lq6beiq
EEG Signals based Brain Source Localization Approaches
2018
International Journal of Advanced Computer Science and Applications
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This article is focused on the overview of functionality of the neurons and investigation of the current research and algorithms used for brain source localization. ...
EEG brain source localization has remained an active area of research in neurophysiology since last couple of decades and still being investigated in terms of its processing time, resolution, localization ...
This was an entire overview of EEG signals-based source localization. ...
doi:10.14569/ijacsa.2018.090934
fatcat:bdn5pncoo5eupjhj7hk47jwtvu
Inverse problems with time-frequency dictionaries and non-white Gaussian noise
2015
2015 23rd European Signal Processing Conference (EUSIPCO)
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We use a time-frequency representation of the source waveforms and a sparse regularization which promotes focal sources with smooth and transient activations. ...
We investigate an application in brain imaging: the problem of source localization using magneto-and electroencephalography which allow functional brain imaging with high temporal resolution. ...
Minimization Problem (11) reduces then to a simple Basis-Pursuit Denoising with a weighted 1 norm. ...
doi:10.1109/eusipco.2015.7362682
dblp:conf/eusipco/KowalskiG15
fatcat:p3rf2jfpmbdobba3dzebvfrs3e
Neural activity tracking using spatial compressive particle filtering
2012
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Our approach results in reducing the number of EEG channels required to be stored and processed for neural tracking using particle filtering. ...
Simulations using both synthetic and real EEG signals illustrate that the proposed algorithm has tracking performance comparable to existing methods while using only a reduced set of EEG channels. ...
In [5] , an EEG sensor design method was proposed to generate high fidelity EEG measurements using a CS approach. ...
doi:10.1109/icassp.2012.6288661
dblp:conf/icassp/MiaoZPC12
fatcat:xhc7m6f5hja2xb6j46hue3at4a
Simultaneous head tissue conductivity and EEG source location estimation
2016
NeuroImage
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Here, we describe an iterative gradient-based approach to Simultaneous tissue Conductivity And source Location Estimation (SCALE). ...
Accurate electroencephalographic (EEG) source localization requires an electrical head model incorporating accurate geometries and conductivity values for the major head tissues. ...
We also applied SCALE (using the M3 weighting scheme) to noise-added simulated EEG source scalp maps with signal-to-noise ratios of 20, 25, and 30 dB, again starting SCALE at BSCR=80 and at BSCR=20. ...
doi:10.1016/j.neuroimage.2015.08.032
pmid:26302675
pmcid:PMC4651780
fatcat:lm4jardmtzhxjahobtxd3i23li
Parametrizing the Conditionally Gaussian Prior Model for Source Localization with Reference to the P20/N20 component of Median Nerve SEP/SEF
2020
Brain Sciences
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The goal of this proof-of-concept study was to improve the applicability of the CG-HBM as a superclass by proposing a robust approach for the parametrization of focal source scenarios. ...
signal-to-noise ratio, which we introduce as a new concept in this study. ...
In the other study, a scale parameter range from 10 −10 to 10 −8 was found to be applicable for IAS MAP estimation of numerically simulated deep activity with the IG hyperprior and a sparse source space ...
doi:10.3390/brainsci10120934
pmid:33287441
pmcid:PMC7761863
fatcat:ulupbmj3nbgvbnzp6tdyxdgd24
Real time eye blink noise removal from EEG signals using morphological component analysis
2013
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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This method sparsely represents both the eye blink and the EEG signal basis matrices using a Short Time Fourier Transform (STFT). ...
This approach has two main advantages: 1) fast computation of the estimation of the signal coefficients using the basis pursuit algorithm 2) less memory requirement. ...
Most of these applications require portable and wearable EEG devices with a single or a few EEG channels to reduce the cost, power consumption, size and improve user comfort level. ...
doi:10.1109/embc.2013.6609425
pmid:24109612
dblp:conf/embc/MatikoBT13
fatcat:s674tpvuwzfklekemnjsa6vbki
Performance Analysis of Low Resolution EEG Source Localization Techniques
2022
Sir Syed Research Journal of Engineering & Technology
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view and cortex map and proposed the optimum techniques for EEG source localization. ...
It is validated that the electromagnetic signal recorded on the top of scalp is owing to the collective actions of a neurons inside the brain. ...
Acknowledgement The authors would like to thank Indus University, Karachi, Pakistan, and DHA Suffa University, Karachi, Pakistan for all the support provided to accomplish this research work. ...
doi:10.33317/ssurj.411
fatcat:kh2fvljmy5f6dfld5qcedowkhu
The Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal MEG/EEG Source Reconstruction
2016
IEEE Transactions on Medical Imaging
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We compare the proposed sparse imaging method to the dSPM and the RAP-MUSIC approach based on two MEG data sets. ...
Source imaging based on magnetoencephalography (MEG) and electroencephalography (EEG) allows for the non-invasive analysis of brain activity with high temporal and good spatial resolution. ...
ACKNOWLEDGMENT The authors would like to thank M. S. Hämäläinen for providing the experimental MEG data sets. ...
doi:10.1109/tmi.2016.2553445
pmid:27093548
pmcid:PMC5533305
fatcat:aseibhee4jgz3dw5kyqsd3ftum
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