ERP source reconstruction by using Particle Swarm Optimization
Please cite this item using this persistent URL
http://hdl.handle.net/11693/28739Journal
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Collections
- Conference Paper [2010]
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. ©2009 IEEE.
Related items
Showing items related by title, author, creator and subject.
-
Source polarization
(2010)The notion of source polarization is introduced and investigated. This complements the earlier work on channel polarization. An application to Slepian-Wolf coding is also considered. The paper is restricted to the case of ... -
Guessing subject to distortion
(1998)We investigate the problem of guessing a random vector X within distortion level D. Our aim is to characterize the best attainable performance in the sense of minimizing, in some probabilistic sense, the number of required ... -
High performance n-MOSFETs with novel source/drain on selectively grown Ge on Si for monolithic integration
(2009)We demonstrate high performance Ge n-MOSFETs with novel raised source/drain fabricated on high quality single crystal Ge selectively grown heteroepitaxially on Si using Multiple Hydrogen Anealing for Heteroepitaxy(MHAH) ...
