Fotini Kariotou

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This paper investigates the performance of particle swarm optimization (PSO) and unified particle swarm optimization (UPSO) in magnetoencephalography (MEG) problems. For this purpose, two interesting tasks are considered. The first is the source localisation problem, also called the ‘inverse MEG problem’, where an unknown excitation source has to be(More)
Two main results are included in this paper. The first one deals with the leading asymptotic term of the magnetic field outside any conductive medium. In accord with physical reality, it is proved mathematically that the leading approximation is a quadrupole term which means that the conductive brain tissue weakens the intensity of the magnetic field(More)
The forward problem of Magnetoencephalography for an ellipsoidal inhomogeneous shell-model of the brain is considered. The inhomogeneity enters through a confocal ellipsoidal shell exhibiting different conductivity than the one of the brain tissue. It is shown that, as far as the leading quadrupolic moment of the exterior magnetic field is concerned, the(More)
Electroencephalography (EEG) measures potential differences on part of the surface of the head. These measurements are directly connected with activated regions within the brain, modeled as dipoles, and are accurately interpreted if originating from a average ellipsoidal conductor with semi-axes 5.5, 6.5 and 8.5 × 10−2 m. However, the volume of modern human(More)
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