Developing a Multi-channel Beamformer by Enhancing Spatially Constrained ICA for Recovery of Correlated EEG Sources

Developing a Multi-channel Beamformer by Enhancing Spatially Constrained ICA for Recovery of Correlated EEG Sources

Background: Brain source imaging based on electroencephalogram (EEG) data aims to recover the neuron populations’ activity producing the scalp potentials. This procedure is known as the EEG inverse problem. Recently, beamformers have gained a lot of consideration in the EEG inverse problem. Objectiv...

Full description

Bibliographic Details
Main Authors: Nasser Samadzadehaghdam, Bahador Makkiabadi, Ehsan Eqlimi, Fahimeh Mohagheghian, Hassan Khajehpoor, Mohammad Hossein Harirchian
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2021-04-01
Series:Journal of Biomedical Physics and Engineering
Subjects:
ica based beamformer
correlated sources recovery
signal processing, computer-assisted
electroencephalography
brain waves
Online Access:https://jbpe.sums.ac.ir/article_44638_a44a44324272c6041540217389a579db.pdf

Internet

https://jbpe.sums.ac.ir/article_44638_a44a44324272c6041540217389a579db.pdf

Similar Items