Comparative Analysis of Parallel Brain Activity Mapping Algorithms for High Resolution Brain Models
Journal Title: TecnoLógicas - Year 2019, Vol 22, Issue 46
Abstract
This paper proposes a comparative analysis between regular and parallel versions of FISTA and Tikhonov-like optimizations for solving the EEG brain mapping problem. Such comparison is performed in terms of computational time reduction and estimation error achieved by the parallelized methods. Two brain models (high- and low-resolution) are used to compare the algorithms. As a result, it can be seen that, if the number of parallel processes increases, computational time decreases significantly for all the head models used in this work, without compromising the reconstruction quality. In addition, it can be concluded that the use of a high-resolution head model produces an improvement in any source reconstruction method in terms of spatial resolution.
Authors and Affiliations
Cristhian D. Molina-Machado, Ernesto Cuartas, Juan D. Martínez-Vargas, Eduardo Giraldo
Keywords
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- EP ID EP675090
- DOI 10.22430/22565337.1344
- Views 157
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