Cerebral Cortex Atlas of Emotional States Through EEG Processing

Alejandro Gómez, O. Lucia Quintero, Natalia Lopez-Celani, Luisa Fernanda Villa

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

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 originalInglés
Título de la publicación alojada8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019
EditoresCésar 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
EditorialSpringer
Páginas138-144
Número de páginas7
ISBN (versión impresa)9783030306472
DOI
EstadoPublicada - 1 ene 2020
Evento8th Latin American Conference on Biomedical Engineering and the 42nd National Conference on Biomedical Engineering, CLAIB-CNIB 2019 - Cancún, México
Duración: 2 oct 20195 oct 2019

Serie de la publicación

NombreIFMBE Proceedings
Volumen75
ISSN (versión impresa)1680-0737
ISSN (versión digital)1433-9277

Conferencia

Conferencia8th Latin American Conference on Biomedical Engineering and the 42nd National Conference on Biomedical Engineering, CLAIB-CNIB 2019
PaísMéxico
CiudadCancún
Período2/10/195/10/19

Huella dactilar

Electroencephalography
Feature extraction
Processing
Wavelet transforms
Classifiers

Citar esto

Gómez, A., Quintero, O. L., Lopez-Celani, N., & Villa, L. F. (2020). Cerebral Cortex Atlas of Emotional States Through EEG Processing. En C. A. González Díaz, C. Chapa González, E. Laciar Leber, H. A. Vélez, N. P. Puente, D-L. Flores, A. O. Andrade, H. A. Galván, F. Martínez, R. García, C. J. Trujillo, ... A. R. Mejía (Eds.), 8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019 (pp. 138-144). (IFMBE Proceedings; Vol. 75). Springer. https://doi.org/10.1007/978-3-030-30648-9_19
Gómez, Alejandro ; Quintero, O. Lucia ; Lopez-Celani, Natalia ; Villa, Luisa Fernanda. / Cerebral Cortex Atlas of Emotional States Through EEG Processing. 8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019. editor / 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. pp. 138-144 (IFMBE Proceedings).
@inproceedings{582ecf4577514fbbbb6730b433a633e6,
title = "Cerebral Cortex Atlas of Emotional States Through EEG Processing",
abstract = "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.",
keywords = "Atlas, Cerebral cortex, EEG, Emotion, Feature selection",
author = "Alejandro G{\'o}mez and Quintero, {O. Lucia} and Natalia Lopez-Celani and Villa, {Luisa Fernanda}",
year = "2020",
month = "1",
day = "1",
doi = "10.1007/978-3-030-30648-9_19",
language = "Ingl{\'e}s",
isbn = "9783030306472",
series = "IFMBE Proceedings",
publisher = "Springer",
pages = "138--144",
editor = "{Gonz{\'a}lez D{\'i}az}, {C{\'e}sar A.} and {Chapa Gonz{\'a}lez}, Christian and {Laciar Leber}, Eric and V{\'e}lez, {Hugo A.} and Puente, {Norma P.} and Dora-Luz Flores and Andrade, {Adriano O.} and Galv{\'a}n, {H{\'e}ctor A.} and Fabiola Mart{\'i}nez and Renato Garc{\'i}a and Trujillo, {Citlalli J.} and Mej{\'i}a, {Aldo R.}",
booktitle = "8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019",

}

Gómez, A, Quintero, OL, Lopez-Celani, N & Villa, LF 2020, Cerebral Cortex Atlas of Emotional States Through EEG Processing. En CA González Díaz, C Chapa González, E Laciar Leber, HA Vélez, NP Puente, D-L Flores, AO Andrade, HA Galván, F Martínez, R García, CJ Trujillo & AR Mejía (eds.), 8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019. IFMBE Proceedings, vol. 75, Springer, pp. 138-144, 8th Latin American Conference on Biomedical Engineering and the 42nd National Conference on Biomedical Engineering, CLAIB-CNIB 2019, Cancún, México, 2/10/19. https://doi.org/10.1007/978-3-030-30648-9_19

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 congresoContribución 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 -

Gómez A, Quintero OL, Lopez-Celani N, Villa LF. Cerebral Cortex Atlas of Emotional States Through EEG Processing. En González Díaz CA, Chapa González C, Laciar Leber E, Vélez HA, Puente NP, Flores D-L, Andrade AO, Galván HA, Martínez F, García R, Trujillo CJ, Mejía AR, editores, 8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019. Springer. 2020. p. 138-144. (IFMBE Proceedings). https://doi.org/10.1007/978-3-030-30648-9_19