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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aitidis, I. Kyriacou, G. Sahalos, J. |
| Copyright Year | 2014 |
| Description | Author affiliation: Democritus Univ. of Thrace, Xanthi, Greece (Aitidis, I.; Kyriacou, G.) || Dept. of Phys., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece (Sahalos, J.) |
| Abstract | A method for the equivalent dipole localization from EEG/ECG measured data is proposed herein exploiting the combined advantages of Proper Orthogonal Decomposition (POD) and Finite Element Method (FEM). The current effort is concentrated on solving a fine discretized forward eigenproblem once and applying POD to reduce the problem dimension. The equivalent dipole localization is in turn formulated by setting up a cost function in its least squares means. The involved calculated data sets as well as the sensitivity matrix are evaluated herein exploiting a POD eigenfunction expansion. Explicitly, for each forward problem solution the voltage generated by a test source is calculated as an eigenfunction expansion. The proposed method is expected to offer a computationally efficient forward and overall inverse problem solution, while our ambitious is to achieve real time brain dipole localization. |
| Starting Page | 526 |
| Ending Page | 529 |
| File Size | 337164 |
| Page Count | 4 |
| File Format | |
| ISBN | 9788890701849 |
| DOI | 10.1109/EuCAP.2014.6901810 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-04-06 |
| Publisher Place | Netherlands |
| Access Restriction | Subscribed |
| Rights Holder | European Association on Antennas and Propagation |
| Subject Keyword | Heart Electric potential Inverse problems Inverse ECG/EEG eigenfunction expansion Brain modeling source localization Electroencephalography Eigenvalues and eigenfunctions Finite element analysis Proper Orthogonal Decomposition FEM |
| Content Type | Text |
| Resource Type | Article |
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