Application of particle swarm optimization in epileptic spike EEG source localization

Applied Soft Computing Journal

Volumn 13, Issue 5, 2013, Pages 2515-2525

  Shirvany, Yazdan ^a,b   Edelvik, Fredrik ^c   Jakobsson, Stefan ^c   Hedström, Anders ^d   Persson, Mikael ^a,b  

^a CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

^b MedTechWest Center   (Sweden)

^c FRAUNHOFER CHALMERS CENTRE   (Sweden)

^d UNIVERSITY OF GOTHENBURG   (Sweden)

Author keywords

Electroencephalography; Epilepsy; Finite element method; Particle swarm optimization; Source localization

Indexed keywords

ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; FINITE ELEMENT METHOD; GLOBAL OPTIMIZATION; INVERSE PROBLEMS; NEUROLOGY; PATIENT TREATMENT; SURGERY;

COMPUTATIONAL TIME; EEG SOURCE LOCALIZATION; EPILEPSY; GLOBAL OPTIMIZATION METHOD; INTRACTABLE EPILEPSIES; REALISTIC HEAD MODELS; SOURCE LOCALIZATION; SUBTRACTION METHOD;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84885608110     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.11.035     Document Type: Article

References (28)

1. D.L. Kraeme, M.E. Brandling-Bennett, D.G. Vossler, Epilepsy Surgery, Medscape Reference, Drug, Diseases and Procedures, Available at http://emedicine.medscape.com/article/251449-overview. Last accessed April 30, 2010.
2. J.C. De Munck, The potential distribution in a layered anisotropic spheroidal volume conductor, Journal of Applied Physics 64 (2) (1988) 464-470, cited By (since 1996): 77.
3. C.H. Wolters, M. Kuhn, A. Anwander, S. Reitzinger, A parallel algebraic multigrid solver for finite element method based source localization in the human brain, Computing and Visualization in Science 5 (3) (2003).
4. C.H. Wolters, H. Köstler, C.H.J. Möller, L. Grasedyck, W. Hackbusch, Numerical mathematics of the subtraction method for the construction of a current dipole in EEG source reconstruction using finite element head models, SIAM Journal on Scientific Computing 30(1) (2007) 24-45.
5. R. Grech, T. Cassar, J. Muscat, K.P. Camilleri, S.G. Fabri, M. Zervakis, P. Xanthopoulos, V. Sakkalis, B. Vanrumste, Review on solving the inverse problem in EEG source analysis., Journal of NeuroEngineering and Rehabilitation 5 (2008).
6. S. van den Broeh, H. Zhou, M. Peters, Computation of neuromagnetic fields using finite-element method and Biot-Savart law, Medical and Biological Engineering and Computing 34 (1) (1996) 21-26. (Pubitemid 26058856)
7. F. Edelvik, B. Andersson, S. Jakobsson, S. Larsson, M. Persson, Y. Shirvany, An improved method for dipole modeling in EEG-based source localization, in: World Congress on Medical Physics and Biomedical Engineering, vol. 25/9 of IFMBE Proceedings, Munich, Germany, 2009, pp. 146-149.
8. R. Eberhart, J. Kennedy, A new optimizer using particle swarm theory, in: Proceedings of the Sixth International Symposium on Micro Machine and Human Science, 1995, MHS '95, 1995, pp. 39-43.
9. J. Kennedy, R. Eberhart, Particle swarm optimization, in: Proceedings, IEEE International Conference on Neural Networks, 1995, vol. 4, 1995, pp. 1942-1948.
10. Y. Shi, R. Eberhart, A modified particle swarm optimizer, in: The 1998 IEEE International Conference on Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence, 1998, pp. 69-73.
11. Y. Shi, R.C. Eberhart, Parameter selection in particle swarm optimization, in: EP '98: Proceedings of the 7th International Conference on Evolutionary Programming VII, Springer-Verlag, London, UK, 1998, pp. 591-600. (Pubitemid 128118969)
12. M. Clerc, The swarm and the queen: towards a deterministic and adaptive particle swarm optimization, in: Proceedings of the 1999 Congress on Evolutionary Computation, 1999. CEC 99, vol. 3, 1999, pp. 3 (xxxvii+2348).
13. R. Eberhart, Y. Shi, Comparing inertia weights and constriction factors in particle swarm optimization, in: Proceedings of the 2000 Congress on Evolutionary Computation, 2000, vol. 1, 2000, pp. 84-88.
14. M. Clerc, J. Kennedy, The particle swarm: explosion, stability, and convergence in a multidimensional complex space, IEEE Transactions on Evolutionary Computation 6(1)(2002) 58-73. (Pubitemid 34404564)
15. P.J. Angeline, Using selection to improve particle swarm optimization, in: Evolutionary Computation Proceedings, 1998, pp. 84-89.
16. K.-B. Lee, J.-H. Kim, Particle swarm optimization driven by evolving elite group, in: IEEE Congress on Evolutionary Computation, 2009. CEC '09, 2009, pp. 2114-2119.
17. M. Clerc, Think locally, act locally: the way of life of cheap-PSO, an adaptive PSO, 2001.
18. http://www.itis.ethz.ch/services/human-and-animal-models/
19. V. Jurcak, D. Tsuzuki, I. Dan, 10/20, 10/10, and 10/5 systems revisited: their validity as relative head-surface-based positioning systems, NeuroImage 34 (4) (2007)1600-1611. (Pubitemid 46187062)
20. http://niremf.ifac.cnr.it/tissprop/
21. M. Sun, An efficient algorithm for computing multishell spherical volume conductor models in EEG dipole source localization, IEEE Transactions on Biomedical Engineering 44(12) (1997) 1243-1252.
22. I.C. Trelea, The particle swarm optimization algorithm: convergence analysis and parameter selection, Information Processing Letters 85 (6) (2003) 317-325.
23. D. Goldberg, Genetic Algorithms in Search Optimization and Machine Learning, Addison-Wesley, Boston (MA), 1989, pp. 1-25.
24. D.R. Jones, CD. Perttunen, B.E. Stuckman, Lipschitzian optimization without the Lipschitz constant, Journal of Optimization Theory and Applications 79 (1993) 157-181.
25. http://www4.ncsu.edu/ctk/Finkel-Direct/
26. W. Volk, Applied Statistics for Engineers, 2nd edition, McGraw-Hill, New York, 1969.
27. D. Harnett, Statistical Methods, 3rd edition, Addison-Wesley, Boston (MA), 1982.
28. N. Yeung, R. Bogacz, C.B. Holroyd, J.D. Cohen, Detection of synchronized oscillations in the electroencephalogram: an evaluation of methods, Psychophysiology 41 (6) (2004) 822-832. (Pubitemid 40051470)