On the Comparison of Multilayer Perceptron and Extreme Learning Machine for Pedaling Recognition Using EEG-Reference-Cited by-同舟云学术

On the Comparison of Multilayer Perceptron and Extreme Learning Machine for Pedaling Recognition Using EEG

Published:2023-11-18 Issue: Volume: Page:19-29
ISSN:1865-0929
Container-title:Applications of Computational Intelligence
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Author:

Blanco-Díaz Cristian Felipe^ORCID,Guerrero-Mendez Cristian David^ORCID,Bastos-Filho Teodiano^ORCID,Ruiz-Olaya Andrés Felipe^ORCID,Jaramillo-Isaza Sebastián^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-48415-5_2

Reference23 articles.

1. Abiri, R., Borhani, S., Sellers, E.W., Jiang, Y., Zhao, X.: A comprehensive review of EEG-based brain-computer interface paradigms. J. Neural Eng. 16(1), 011001 (2019). https://doi.org/10.1088/1741-2552/aaf12e

2. Biao, L., Youwei, L., Xiaoming, X., Haoyi, W., Longhan, X.: Design and control of a flexible exoskeleton to generate a natural full gait for lower-limb rehabilitation. J. Mech. Robot. 15(1), 011005 (2022). https://doi.org/10.1115/1.4054248

3. Blanco-Díaz, C., Guerrero-Méndez, C., Bastos-Filho, T., Ruiz-Olaya, A., Jaramillo-Isaza, S.: Detection of pedaling tasks through EEG using extreme learning machine for lower-limb rehabilitation brain-computer interfaces. In: 2023 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI), pp. 1–5 (2023). https://doi.org/10.1109/ColCACI59285.2023.10225911

4. Blanco-Díaz, C.F., Guerrero-Mendez, C.D., Delisle-Rodriguez, D., de Souza, A.F., Badue, C., Bastos-Filho, T.F.: Lower-limb kinematic reconstruction during pedaling tasks from EEG signals using unscented Kalman filter. In: Computer Methods in Biomechanics and Biomedical Engineering , pp. 1–11 (2023). https://doi.org/10.1080/10255842.2023.2207705

5. Blanco-Díaz, C.F., Guerrero-Méndez, C.D., Bastos-Filho, T., Jaramillo-Isaza, S., Ruiz-Olaya, A.F.: Effects of the concentration level, eye fatigue and coffee consumption on the performance of a BCI system based on visual ERP-p300. J. Neurosci. Methods. 382, 109722 (2022). https://doi.org/10.1016/j.jneumeth.2022.109722, https://www.sciencedirect.com/science/article/pii/S0165027022002485