Resumen
This paper addresses the cerebral cortex maps construction from EEG signals getting an information simplification method for an emotional state phenomenon description. Bi-dimensional density distribution of main signal features are identified and a comparison to a previous approach is presented. Feature extraction scheme is performed via windowed EEG signals Stationary Wavelet Transform with the Daubechies Family (1–10); nine temporal and spectral descriptors are computed from the decomposed signal. Recursive feature selection method based on training a Random forest classifier using a one-vs-all scheme with the full features space, then a ranking procedure via gini importance, eliminating the bottom features and restarting the entire process over the new subset. Stopping criteria is the maximum accuracy. The main contribution is the analysis of the resulting subset features as a proxy for cerebral cortex maps looking for the cognitive processes understanding from surface signals. Identifying the common location of different emotional states in the central and frontal lobes, allowing to be strong parietal and temporal lobes differentiators for different emotions.
| Idioma original | Inglés |
|---|---|
| Título de la publicación alojada | 8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019 |
| Editores | César A. González Díaz, Christian Chapa González, Eric Laciar Leber, Hugo A. Vélez, Norma P. Puente, Dora-Luz Flores, Adriano O. Andrade, Héctor A. Galván, Fabiola Martínez, Renato García, Citlalli J. Trujillo, Aldo R. Mejía |
| Editorial | Springer |
| Páginas | 138-144 |
| Número de páginas | 7 |
| ISBN (versión impresa) | 9783030306472 |
| DOI | |
| Estado | Publicada - 1 ene 2020 |
| Evento | 8th Latin American Conference on Biomedical Engineering and the 42nd National Conference on Biomedical Engineering, CLAIB-CNIB 2019 - Cancún, México Duración: 2 oct 2019 → 5 oct 2019 |
Serie de la publicación
| Nombre | IFMBE Proceedings |
|---|---|
| Volumen | 75 |
| ISSN (versión impresa) | 1680-0737 |
| ISSN (versión digital) | 1433-9277 |
Conferencia
| Conferencia | 8th Latin American Conference on Biomedical Engineering and the 42nd National Conference on Biomedical Engineering, CLAIB-CNIB 2019 |
|---|---|
| País | México |
| Ciudad | Cancún |
| Período | 2/10/19 → 5/10/19 |
Huella dactilar
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Cerebral Cortex Atlas of Emotional States Through EEG Processing. / Gómez, Alejandro; Quintero, O. Lucia; Lopez-Celani, Natalia; Villa, Luisa Fernanda.
8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019. ed. / César A. González Díaz; Christian Chapa González; Eric Laciar Leber; Hugo A. Vélez; Norma P. Puente; Dora-Luz Flores; Adriano O. Andrade; Héctor A. Galván; Fabiola Martínez; Renato García; Citlalli J. Trujillo; Aldo R. Mejía. Springer, 2020. p. 138-144 (IFMBE Proceedings; Vol. 75).Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia
TY - GEN
T1 - Cerebral Cortex Atlas of Emotional States Through EEG Processing
AU - Gómez, Alejandro
AU - Quintero, O. Lucia
AU - Lopez-Celani, Natalia
AU - Villa, Luisa Fernanda
PY - 2020/1/1
Y1 - 2020/1/1
N2 - This paper addresses the cerebral cortex maps construction from EEG signals getting an information simplification method for an emotional state phenomenon description. Bi-dimensional density distribution of main signal features are identified and a comparison to a previous approach is presented. Feature extraction scheme is performed via windowed EEG signals Stationary Wavelet Transform with the Daubechies Family (1–10); nine temporal and spectral descriptors are computed from the decomposed signal. Recursive feature selection method based on training a Random forest classifier using a one-vs-all scheme with the full features space, then a ranking procedure via gini importance, eliminating the bottom features and restarting the entire process over the new subset. Stopping criteria is the maximum accuracy. The main contribution is the analysis of the resulting subset features as a proxy for cerebral cortex maps looking for the cognitive processes understanding from surface signals. Identifying the common location of different emotional states in the central and frontal lobes, allowing to be strong parietal and temporal lobes differentiators for different emotions.
AB - This paper addresses the cerebral cortex maps construction from EEG signals getting an information simplification method for an emotional state phenomenon description. Bi-dimensional density distribution of main signal features are identified and a comparison to a previous approach is presented. Feature extraction scheme is performed via windowed EEG signals Stationary Wavelet Transform with the Daubechies Family (1–10); nine temporal and spectral descriptors are computed from the decomposed signal. Recursive feature selection method based on training a Random forest classifier using a one-vs-all scheme with the full features space, then a ranking procedure via gini importance, eliminating the bottom features and restarting the entire process over the new subset. Stopping criteria is the maximum accuracy. The main contribution is the analysis of the resulting subset features as a proxy for cerebral cortex maps looking for the cognitive processes understanding from surface signals. Identifying the common location of different emotional states in the central and frontal lobes, allowing to be strong parietal and temporal lobes differentiators for different emotions.
KW - Atlas
KW - Cerebral cortex
KW - EEG
KW - Emotion
KW - Feature selection
UR - http://www.scopus.com/inward/record.url?scp=85075694660&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-30648-9_19
DO - 10.1007/978-3-030-30648-9_19
M3 - Contribución a la conferencia
AN - SCOPUS:85075694660
SN - 9783030306472
T3 - IFMBE Proceedings
SP - 138
EP - 144
BT - 8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019
A2 - González Díaz, César A.
A2 - Chapa González, Christian
A2 - Laciar Leber, Eric
A2 - Vélez, Hugo A.
A2 - Puente, Norma P.
A2 - Flores, Dora-Luz
A2 - Andrade, Adriano O.
A2 - Galván, Héctor A.
A2 - Martínez, Fabiola
A2 - García, Renato
A2 - Trujillo, Citlalli J.
A2 - Mejía, Aldo R.
PB - Springer
ER -