A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources Article Swipe
Pétia Georgieva
,
Nidhal Bouaynaya
,
Filipe Silva
,
Lyudmila Mihaylova
,
Lakhmi C. Jain
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1109/jbhi.2015.2413752
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1109/jbhi.2015.2413752
Electroencephalography (EEG)-based brain computer interface (BCI) is the most studied noninvasive interface to build a direct communication pathway between the brain and an external device. However, correlated noises in EEG measurements still constitute a significant challenge. Alternatively, building BCIs based on filtered brain activity source signals instead of using their surface projections, obtained from the noisy EEG signals, is a promising and not well-explored direction. In this context, finding the locations and waveforms of inner brain sources represents a crucial task for advancing source-based noninvasive BCI technologies. In this paper, we propose a novel multicore beamformer particle filter (multicore BPF) to estimate the EEG brain source spatial locations and their corresponding waveforms. In contrast to conventional (single-core) beamforming spatial filters, the developed multicore BPF considers explicitly temporal correlation among the estimated brain sources by suppressing activation from regions with interfering coherent sources. The hybrid multicore BPF brings together the advantages of both deterministic and Bayesian inverse problem algorithms in order to improve the estimation accuracy. It solves the brain activity localization problem without prior information about approximate areas of source locations. Moreover, the multicore BPF reduces the dimensionality of the problem to half compared with the PF solution, thus alleviating the curse of dimensionality problem. The results, based on generated and real EEG data, show that the proposed framework recovers correctly the dominant sources of brain activity.
Related Topics
Concepts
Computer science
Electroencephalography
Context (archaeology)
Particle filter
Curse of dimensionality
Brain–computer interface
Multi-core processor
Artificial intelligence
Spatial filter
Pattern recognition (psychology)
Magnetoencephalography
Beamforming
Filter (signal processing)
Waveform
Computer vision
Neuroscience
Telecommunications
Biology
Operating system
Paleontology
Radar
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jbhi.2015.2413752
- OA Status
- hybrid
- Cited By
- 13
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2277207740
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2277207740Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/jbhi.2015.2413752Digital Object Identifier
- Title
-
A Beamformer-Particle Filter Framework for Localization of Correlated EEG SourcesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-03-16Full publication date if available
- Authors
-
Pétia Georgieva, Nidhal Bouaynaya, Filipe Silva, Lyudmila Mihaylova, Lakhmi C. JainList of authors in order
- Landing page
-
https://doi.org/10.1109/jbhi.2015.2413752Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1109/jbhi.2015.2413752Direct OA link when available
- Concepts
-
Computer science, Electroencephalography, Context (archaeology), Particle filter, Curse of dimensionality, Brain–computer interface, Multi-core processor, Artificial intelligence, Spatial filter, Pattern recognition (psychology), Magnetoencephalography, Beamforming, Filter (signal processing), Waveform, Computer vision, Neuroscience, Telecommunications, Biology, Operating system, Paleontology, RadarTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
13Total citation count in OpenAlex
- Citations by year (recent)
-
2022: 2, 2020: 3, 2019: 1, 2018: 4, 2017: 2Per-year citation counts (last 5 years)
- References (count)
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56Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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