Decoding lower-limb kinematic parameters during pedaling tasks using deep learning approaches and EEG-Reference-Cited by-同舟云学术

Decoding lower-limb kinematic parameters during pedaling tasks using deep learning approaches and EEG

Published:2024-07-19 Issue: Volume: Page:
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Blanco-Diaz Cristian Felipe^ORCID,Guerrero-Mendez Cristian David,de Andrade Rafhael Milanezi,Badue Claudine,De Souza Alberto Ferreira,Delisle-Rodriguez Denis,Bastos-Filho Teodiano

Funder

Fundação de Amparo à Pesquisa e Inovação do Espírito Santo

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11517-024-03147-3.pdf

Reference64 articles.

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4. Blanco-Diaz CF, Guerrero-Mendez CD, Bastos-Filho T et al (2023) On the comparison of multilayer perceptron and extreme learning machine for pedaling recognition using EEG. In: IEEE Colombian Conference on Applications of Computational Intelligence. Springer, pp 19–29. https://doi.org/10.1007/978-3-031-48415-52

5. Blanco-Diaz CF, Guerrero Mendez CD, Delisle-Rodriguez D et al (2024) Evaluation of temporal, spatial and spectral filtering in CSP-based methods for decoding pedaling-based motor tasks using EEG signals. Biomed Phys Eng Express 10:035003. https://doi.org/10.1088/2057-1976/ad2e35