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dc.contributor.authorDuru, A. Deniz
dc.contributor.authorYildiz, Gokcen
dc.contributor.authorDemiralp, Tamer
dc.contributor.authorAdemoglu, Ahmet
dc.date.accessioned2021-03-04T10:39:29Z
dc.date.available2021-03-04T10:39:29Z
dc.identifier.citationYildiz G., Duru A. D. , Ademoglu A., Demiralp T., "Bayesian EEG dipole source localization using SA-RJMCMC on realistic head model", 29th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, Lyon, Fransa, 22 - 26 Ağustos 2007, ss.4268-4269
dc.identifier.othervv_1032021
dc.identifier.otherav_6e53cd1d-7ddb-4890-9662-edb171ab515f
dc.identifier.urihttp://hdl.handle.net/20.500.12627/76179
dc.identifier.urihttps://doi.org/10.1109/iembs.2007.4353279
dc.description.abstractIn this study, electroencephalography (EEG) inverse problem is formulated using Bayesian inference. The posterior probability distribution of current sources is sampled by Markov Chain Monte Carlo (MCMC) methods. Sampling algorithm is designed by combining Reversible Jump (RJ) which permits trans-dimensional iterations and Simulated Annealing (SA), a heuristic to escape from local optima. Two different approaches to EEG inverse problem, Equivalent Current Dipole (ECD) and Distributed Linear Imaging (DLI) are combined in terms of probability. EEG inverse problem is solved with this probabilistic approach using simulated data on a realistic head model. Localization errors are computed. Comparing to Multiple Signal Classification algorithm (MUSIC) and Low-Resolution Electromagnetic Tomography (LORETA), using MCMC methods with a Bayesian approach is useful for solving the EEG inverse problem.
dc.language.isoeng
dc.subjectBiyomedikal Mühendisliği
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectDahili Tıp Bilimleri
dc.subjectNükleer Tıp
dc.subjectMühendislik ve Teknoloji
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.subjectMühendislik
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectGÖRÜNTÜLEME BİLİMİ VE FOTOĞRAF TEKNOLOJİSİ
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.subjectRADYOLOJİ, NÜKLEER TIP ve MEDİKAL GÖRÜNTÜLEME
dc.titleBayesian EEG dipole source localization using SA-RJMCMC on realistic head model
dc.typeBildiri
dc.contributor.departmentGalatasaray Üniversitesi , ,
dc.contributor.firstauthorID39981


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