Evaluación en un paciente con ictus en fase crónica de un sistema autoadaptativo de neurorehabilitación robótica

  1. Ricardo Morales 1
  2. Francisco J. Badesa 1
  3. Nicolas Garcia-Aracil 1
  4. Joan Aranda 2
  5. Alicia Casals 2
  1. 1 Universidad Miguel Hernández de Elche
    info

    Universidad Miguel Hernández de Elche

    Elche, España

    ROR https://ror.org/01azzms13

  2. 2 Universitat Politècnica de Catalunya
    info

    Universitat Politècnica de Catalunya

    Barcelona, España

    ROR https://ror.org/03mb6wj31

Revista:
Revista iberoamericana de automática e informática industrial ( RIAI )

ISSN: 1697-7920

Any de publicació: 2015

Volum: 12

Número: 1

Pàgines: 92-98

Tipus: Article

DOI: 10.1016/J.RIAI.2014.11.007 DIALNET GOOGLE SCHOLAR lock_openAccés obert editor

Altres publicacions en: Revista iberoamericana de automática e informática industrial ( RIAI )

Resum

This paper presents a new rehabilitation system that is able to adapt its performance to patient's psychophysiological state during the execution of robotic rehabilitation tasks. Using this approach, the motivation and participation of the patient during rehabilitation activity can be maximized. In this paper, the results of the study with healthy subjects presented in (Badesa et al., 2014b) have been extended for using them with patients who have suffered a stroke. In the first part of the article, the different components of the adaptive system are exposed, as well as a comparison of different machine learning techniques to classify the patient's psychophysiological state between three possible states: stressed, average excitation level and relaxed are presented. Finally, the results of the auto-adaptive system which modifies the behavior of the rehabilitation robot and virtual task in function of measured physiological signals are shown for a patient in the chronic phase of stroke.

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Informació de finançament

Este trabajo ha sido financiado por el Plan Nacional de I+D+i a través de los proyectos, “Interpretación de la intención y ac-tuación humana mediante señales biomédicas y el análisis ci-nemático y dinámico del movimiento” (DPI2011-29660-C04-04) y “Interacción Persona Robot en entornos semiestructura-dos bajo criterios de permitividad” (DPI2011-29660-C04-01).

Finançadors

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Fuente de los datos: Dialnet