Modeling the cortical response elicited by wrist manipulation via a nonlinear delay differential embedding
Author:
Funder
Laboratorio Nacional de Supercómputo del Sureste de Mexico
Consejo Nacional de Ciencia y Tecnología
Universidad de las Américas Puebla
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13246-024-01427-8.pdf
Reference31 articles.
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2. Úbeda A, Hortal E, Iáñez E, Perez-Vidal C, Azorín JM (2015) Assessing movement factors in upper limb kinematics decoding from EEG signals. PLoS ONE 10:e0128456. https://doi.org/10.1371/journal.pone.0128456
3. Yoshimura N, Tsuda H, Kawase T, Kambara H, Koike Y (2017) Decoding finger movement in humans using synergy of EEG cortical current signals. Sci Rep 7:1–11. https://doi.org/10.1038/s41598-017-09770-5
4. Zhu F, Li Y, Shi Z, Lin H (2022) Nonlinear identification and time-frequency domain analysis of corticomuscular responses during card-grabbing using the NARMAX method. In: 2022 8th international conference on control, automation and robotics (ICCAR). IEEE, pp 1–6. https://doi.org/10.1109/ICCAR55106.2022.9782654
5. Kulkarni V, Joshi Y, Manthalkar R et al (2022) Band decomposition of asynchronous electroencephalogram signal for upper limb movement classification. Phys Eng Sci Med 45:643–656. https://doi.org/10.1007/s13246-022-01132-4
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