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Subject-Specific Session-to-Session Transfer Learning Strategies for Increasing Brain-Computer Interface Performance during Upper Extremity Neurorehabilitation in Stroke

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Abstract

Purpose

To assess if transfer learning strategies can improve stroke patients’ ability to control a Brain-computer interface (BCI) based on motor intention across an upper extremity neurorehabilitation intervention.

Methods

Three subject-specific session-to-session training strategies were retrospectively assessed in the present study, using information acquired during a BCI intervention in 12 stroke patients. One strategy used data from the previous therapy session (previous session), another used data from all previous sessions (accumulative) and another initially used previous session’s data and was updated with data acquired during the current session (instantaneous).

Results

Classification accuracy was significantly higher with the instantaneous strategy (median = 76.4%, IQR = [68.7%, 81.5%]) compared to the obtained with the accumulative (71.67%, [65.1%, 78.5%]) and previous session (69.2%, [59%, 77.4%]) strategies. Median classification accuracies across sessions were also higher with the instantaneous strategy in each BCI intervention session.

Conclusion

The instantaneous strategy could allow stroke patients to achieve a competitive level of BCI performance during a motor intention BCI intervention without reducing effective therapy time or requiring data from other patients.

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Acknowledgements

Authors would like to acknowledge Consejo Nacional de Ciencia y Tecnología (CONACYT) for supporting this work with grant number SALUD-2018-02-B-S-45803. Authors would also like to thank Martín Emiliano Rodríguez-García for his assistance in programming some of the software used to assess BCI performance. Also, authors would like to thank Marlene A. Rodriguez Barragan, Claudia Hernandez-Arenas and Jimena Quinzaños-Fresnedo for their help in patients’ recruitment.

Funding

This work was supported by Consejo Nacional de Ciencia y Tecnología (CONACYT) (Grant number SALUD-2018-02-B-S-45803).

Author information

Authors and Affiliations

  1. Division of Research in Clinical Neuroscience, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, Mexico

    Ruben I. Carino-Escobar & Paul Carrillo-Mora

  2. Faculty of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico

    Luis A. Franceschi-Jimenez

  3. Technological Research Subdirection, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, Mexico

    Jessica Cantillo-Negrete

Authors
  1. Ruben I. Carino-Escobar
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  2. Luis A. Franceschi-Jimenez
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  3. Paul Carrillo-Mora
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  4. Jessica Cantillo-Negrete
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Jessica Cantillo-Negrete, Luis A. Franceschi-Jimenez, Paul Carrillo-Mora and Ruben I. Carino-Escobar. The first draft of the manuscript was written by Ruben I. Carino-Escobar and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.”

Corresponding author

Correspondence to Jessica Cantillo-Negrete.

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Ethical Approval

This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics and Research Committees of the National Institute of Rehabilitation Luis Guillermo Ibarra Ibarra with approval numbers 36/15 and 25/19 AC.

Consent to Participate

Informed consent was obtained from all individual participants included in the study.

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The authors have no relevant financial or non-financial interests to disclose.

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Carino-Escobar, R.I., Franceschi-Jimenez, L.A., Carrillo-Mora, P. et al. Subject-Specific Session-to-Session Transfer Learning Strategies for Increasing Brain-Computer Interface Performance during Upper Extremity Neurorehabilitation in Stroke. J. Med. Biol. Eng. 44, 596–606 (2024). https://doi.org/10.1007/s40846-024-00891-7

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