Emotional Networked maps from EEG signals

Alejandro Gomez, O. Lucia Quintero, Natalia Lopez-Celani, Luisa F. Villa

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

Resumen

The EEG has showed that contains relevant information about recognition of emotional states. It is important to analyze the EEG signals to understand the emotional states not only from a time series approach but also determining the importance of the generating process of these signals, the location of electrodes and the relationship between the EEG signals. From the EEG signals of each emotional state, a functional connectivity measurement was used to construct adjacency matrices: lagged phase synchronization (LPS), averaging adjacency matrices we built a prototype network for each emotion. Based on these networks, we extracted a set node features seeking to understand their behavior and the relationship between them. We found through the strength and degree, the group of representative electrodes for each emotional state, finding differences from intensity of measurement and the spatial location of these electrodes. In addition, analyzing the cluster coefficient, degree, and strength, we find differences between the networks from the spatial patterns associated with the electrodes with the highest coefficient. This analysis can also gain evidence from the connectivity elements shared between emotional states, allowing to cluster emotions and concluding about the relationship of emotions from EEG perspective.

Idioma originalInglés
Título de la publicación alojada42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
Subtítulo de la publicación alojadaEnabling Innovative Technologies for Global Healthcare, EMBC 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas34-37
Número de páginas4
ISBN (versión digital)9781728119908
DOI
EstadoPublicada - jul 2020
Evento42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canadá
Duración: 20 jul 202024 jul 2020

Serie de la publicación

NombreProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volumen2020-July
ISSN (versión impresa)1557-170X

Conferencia

Conferencia42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020
PaísCanadá
CiudadMontreal
Período20/07/2024/07/20

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    Gomez, A., Quintero, O. L., Lopez-Celani, N., & Villa, L. F. (2020). Emotional Networked maps from EEG signals. En 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020 (pp. 34-37). [9175935] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2020-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC44109.2020.9175935