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Authors: Andres Felipe Soler 1 ; Eduardo Giraldo 2 and Marta Molinas 1

Affiliations: 1 Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, Norway ; 2 Department of Electrical Engineering, Universidad Tecnológica de Pereira, Pereira, Colombia

Keyword(s): Low-density EEG, Partial Brain Model, Source Reconstruction, Brain Mapping, EEG Signals.

Abstract: Brain mapping studies have shown that the source reconstruction performs with high accuracy by using high-density EEG montages, however, several EEG devices in the market provide low-density configurations and thus source reconstruction is considered out of the scope of those devices. In this work, our aim is to use a few numbers of electrodes to reconstruct the neural activity using partial brain models, therefore, we presented a pipeline to estimate the brain activity using a low-density EEG on brain regions of interest, the partial brain model formulation and several criteria for channel selection. Two regions have been considered to be studied, the occipital region and motor cortex region. For the presented study synthetic EEG signals were generated simulating the activation of sources with a frequency in the beta range at the occipital region, and mu rhythm range at the motor cortex areas. Novel methods for electrode reduction and models for specific brain areas are presented. W e assessed the quality of the reconstructions by measuring the localization error, obtaining a mean localization error below 7 mm and 16 mm with sLORETA and MSP methods respectively, by using a low-density EEG with eight channels and partial brain models. (More)

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Paper citation in several formats:
Soler, A.; Giraldo, E. and Molinas, M. (2020). Low-density EEG for Source Activity Reconstruction using Partial Brain Models. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIOIMAGING; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, pages 54-63. DOI: 10.5220/0008972500540063

@conference{bioimaging20,
author={Andres Felipe Soler. and Eduardo Giraldo. and Marta Molinas.},
title={Low-density EEG for Source Activity Reconstruction using Partial Brain Models},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIOIMAGING},
year={2020},
pages={54-63},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008972500540063},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIOIMAGING
TI - Low-density EEG for Source Activity Reconstruction using Partial Brain Models
SN - 978-989-758-398-8
IS - 2184-4305
AU - Soler, A.
AU - Giraldo, E.
AU - Molinas, M.
PY - 2020
SP - 54
EP - 63
DO - 10.5220/0008972500540063
PB - SciTePress