Correlating EEG Signals and Electrode Locations by Means of Multidimensional Scaling

Lucía Rodríguez-Giraldo, Juan Ugarte

2023

Abstract

The adoption of physiological data, such as electroencephalograms (EEG), is undergoing a growing interest in addressing the characterization of human emotions. However, the setup of recording electrodes that allows a proper study of emotions remains to be determined. This work proposes a method for processing multichannel EEG signals by means of multidimensional scaling (MDS), looking for patterns related to the electrodes spatial setup. We analyze the SEED-IV database consisting of 1080 trials, each one having 62 simultaneous EEG recorded during four different emotions induction. A low dimensional representation of each set of 62 EEG signals is obtained through the MDS algorithm. The resulting MDS maps evinced a pattern of points that is correlated with the recording electrodes sites in 68% of the trials from SEED-IV database. Among these trials, those recorded during the neutral emotion induction are slightly prevalent than the remaining emotions. Furthermore, it was determined that the electrodes spatial distribution can be successfully recovered through the MDS analysis with an EEG minimum duration of 45 s. These results suggest that the proposed analysis based on the MDS algorithm shed some light upon the information content of simultaneous EEG signals and its correlation with the underlying cerebral structures.

Paper Citation

in Harvard Style

Rodríguez-Giraldo L. and Ugarte J. (2023). Correlating EEG Signals and Electrode Locations by Means of Multidimensional Scaling. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS; ISBN 978-989-758-631-6, SciTePress, pages 309-316. DOI: 10.5220/0011750200003414

in Bibtex Style

@conference{biosignals23,
author={Lucía Rodríguez-Giraldo and Juan Ugarte},
title={Correlating EEG Signals and Electrode Locations by Means of Multidimensional Scaling},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS},
year={2023},
pages={309-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011750200003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS
TI - Correlating EEG Signals and Electrode Locations by Means of Multidimensional Scaling
SN - 978-989-758-631-6
AU - Rodríguez-Giraldo L.
AU - Ugarte J.
PY - 2023
SP - 309
EP - 316
DO - 10.5220/0011750200003414
PB - SciTePress