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. 2025 Dec 6.
doi: 10.1186/s12984-025-01833-3. Online ahead of print.

Characterization of error-related potentials during the command of a lower-limb exoskeleton based on deep learning

Paula Soriano-Segura  1   2 , Mario Ortiz  3   4 , Cristina Polo-Hortigüela  1   2 , Eduardo Iáñez  1   2 , José M Azorín  1   2   5
Affiliations
Free article

Characterization of error-related potentials during the command of a lower-limb exoskeleton based on deep learning

Paula Soriano-Segura et al. J Neuroeng Rehabil. .
Free article
No abstract available

Keywords: Brain machine interface (BMI); Deep learning; Electroencephalography(EEG); Error related potential (ErrP); Exoskeleton; Neuro-rehabilitation.

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Conflict of interest statement

Declarations. Conflict of interest: The authors declare no Conflict of interest. Ethical approval: The study was approved by the Responsible Research Office of Miguel Hernández University of Elche (Spain) (DIS.JAP.09.21). All participants received a detailed explanation of the experiments and they provided written informed consent in accordance with the Helsinki Declaration.

References

    1. McFarland DJ, Wolpaw JR. Brain-computer interfaces for communication and control. Commun ACM. 2011;5(54):60–6. https://doi.org/10.1145/1941487.1941506.
    1. Ortiz M, Nathan K, Azorín JM, Contreras-Vidal JL. Brain-machine interfaces for neurorobotics. Springer Nature Singapore; 2023.
    1. Ang KK, Guan C. Brain-computer interface in stroke rehabilitation. J Comput Sci Eng. 2013;6(7):139–46. https://doi.org/10.5626/JCSE.2013.7.2.139.
    1. Zhan H, Kou J, Guo Q, Wang C, Chen Z, Shi Y, et al. Multilevel control strategy of human-exoskeleton cooperative motion with multimodal wearable training evaluation. IEEE Trans Control Syst Technol. 2025;3(33):434–48. https://doi.org/10.1109/TCST.2024.3477299.
    1. Kou J, Wang Y, Chen Z, Shi Y, Guo Q. Gait planning and multimodal human-exoskeleton cooperative control based on central pattern generator. IEEE/ASME Trans Mechatron. 2025;8(30):2598–608. https://doi.org/10.1109/TMECH.2024.3453037.

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