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Disambiguation of "García-Martínez, Beatriz"

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Multiscale Entropy Analysis for Recognition of Visually Elicited Negative Stress From EEG Recordings.

, , , , and . Int. J. Neural Syst., 29 (2): 1850038:1-1850038:17 (2019)

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Beatriz Elena García Díaz

Luisa García García

Julio Abraham García García

Vania Martínez

Carlos Martínez

 

Other publications of authors with the same name

Cross-sample entropy for the study of coordinated brain activity in calm and distress conditions with electroencephalographic recordings., , , and . Neural Comput. Appl., 33 (15): 9343-9352 (2021)Testing a New Methodology for Accelerating the Computation of Quadratic Sample Entropy in Emotion Recognition Systems., , , and . ISAmI, volume 806 of Advances in Intelligent Systems and Computing, page 256-264. Springer, (2018)Detection of Negative Stress through Spectral Features of Electroencephalographic Recordings and a Convolutional Neural Network., , , and . Sensors, 21 (9): 3050 (2021)Multi-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition., , , , and . Frontiers Neuroinformatics, (2019)Nonlinear Symbolic Assessment of Electroencephalographic Recordings for Negative Stress Recognition., , , , , and . IWINAC (1), volume 10337 of Lecture Notes in Computer Science, page 203-212. Springer, (2017)Assessment of dispersion patterns for negative stress detection from electroencephalographic signals., , , and . Pattern Recognit., (2021)Multiscale Entropy Analysis for Recognition of Visually Elicited Negative Stress From EEG Recordings., , , , and . Int. J. Neural Syst., 29 (2): 1850038:1-1850038:17 (2019)Application of Dispersion Entropy for the Detection of Emotions With Electroencephalographic Signals., , , and . IEEE Trans. Cogn. Dev. Syst., 14 (3): 1179-1187 (2022)Application of Entropy-Based Metrics to Identify Emotional Distress from Electroencephalographic Recordings., , , , and . Entropy, 18 (6): 221 (2016)Evaluation of Brain Functional Connectivity from Electroencephalographic Signals Under Different Emotional States., , , , and . Int. J. Neural Syst., 32 (10): 2250026:1-2250026:16 (2022)