Diseño conceptual de un robot de rehabilitación de la marcha pseudoestacionario

Jaime Ramos-Rojas

https://orcid.org/0000-0002-2370-9640

Spain

Universidad Rey Juan Carlos image/svg+xml

Escuela Internacional de Doctorado ; Grupo de Investigación en Sistemas y Tecnologías para la Bioingeniería (BeST)

Julio S. Lora-Millan

https://orcid.org/0000-0001-5968-5786

Spain

Universidad Rey Juan Carlos image/svg+xml

Grupo de Investigación en Sistemas y Tecnologías para la Bioingeniería (BeST)

Juan A. Castano

https://orcid.org/0000-0001-5704-9487

Spain

Universidad Rey Juan Carlos image/svg+xml

Grupo de Investigación en Sistemas y Tecnologías para la Bioingeniería (BeST)

Juan Carballeira

https://orcid.org/0000-0003-2824-1917

Spain

Universidad Rey Juan Carlos image/svg+xml

Grupo de Investigación en Sistemas y Tecnologías para la Bioingeniería (BeST)

Pedro R. Fernández

https://orcid.org/0000-0001-9725-8478

Spain

Universidad Rey Juan Carlos image/svg+xml

Grupo de Investigación en Sistemas y Tecnologías para la Bioingeniería (BeST)

Susana Borromeo

https://orcid.org/0000-0002-2353-2902

Spain

Universidad Rey Juan Carlos image/svg+xml

Grupo de Investigación en Sistemas y Tecnologías para la Bioingeniería (BeST)

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Aceptado: 29-05-2024

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Publicado: 05-06-2024

DOI: https://doi.org/10.4995/riai.2024.20732
Datos de financiación

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Palabras clave:

Entrenamiento de la marcha asistido por robot, exoesqueleto ambulatorio, ictus, ingeniería de la rehabilitación, lesión medular espinal, rehabilitación de la marcha, robot vestible, Aprendizaje por refuerzo

Agencias de apoyo:

Esta investigación no contó con financiación

Resumen:

Caminar es una tarea extraordinariamente compleja que requiere la intervención de todo el sistema nervioso, viéndose afectada por diversas patologías neurológicas. Los exoesqueletos de rehabilitación de la marcha actuales, aunque potencialmente evidencian una mejora tras la rehabilitación, aún no han mostrado su superioridad terapéutica respecto a la terapia convencional de manera concluyente. Además, los dispositivos robóticos y exoesqueletos de rehabilitación de la marcha actuales no permiten entrenar específicamente la transferencia de peso o requieren de un buen estado funcional para ser utilizados. En este artículo se presenta el modelo conceptual de un sistema robótico ambulatorio acoplado al exoesqueleto Exo-H3 para la rehabilitación de la marcha implementando estrategias de aprendizaje por refuerzo. Se espera que este sistema favorezca la plasticidad neuronal al aportar mayor libertad al usuario para explorar nuevos patrones de movimiento y aumentar su control motor voluntario y su participación activa, mientras el exoesqueleto se adapta y garantiza su equilibrio y estabilidad. Los pasos futuros contemplan el diseño y la fabricación de cada uno de los subsistemas robóticos, validando su funcionamiento individual y en conjunto, con la participación de sujetos sanos y patológicos.

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