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      • Department of Electrical and Electronics Engineering
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      ERP source reconstruction by using Particle Swarm Optimization

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      Author
      Alp, Yaşar Kemal
      Arıkan, Orhan
      Karakaş, S.
      Date
      2009
      Source Title
      Proceedings of the International Conference on Acoustics, Speech and Signal Processing, IEEE 2009
      Print ISSN
      1520-6149
      Publisher
      IEEE
      Pages
      365 - 368
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      Localization of the sources of Event Related Potentials (ERP) is a challenging inverse problem, especially to resolve sources of neural activity occurring simultaneously. By using an effective dipole source model, we propose a new technique for accurate source localization of ERP signals. The parameters of the dipole ERP sources are optimally chosen by using Particle Swarm Optimization technique. Obtained results on synthetic data sets show that proposed method well localizes the dipoles on their actual locations. On real data sets, the fit error between the actual and reconstructed data is successfully reduced to noise level by localizing a few dipoles in the brain.
      Keywords
      Analysis of neural activity
      ERP source localization
      Particle swarm optimization (PSO)
      Particle swarm optimization technique
      Source localization
      Source reconstruction
      Synthetic datasets
      Enterprise resource planning
      Permalink
      http://hdl.handle.net/11693/28739
      Published Version (Please cite this version)
      https://doi.org/10.1109/ICASSP.2009.4959596
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      • Department of Electrical and Electronics Engineering 3524
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