Análisis de la postura del tronco en terapias de rehabilitación mediante robots

  1. Aitziber Mancisidor 1
  2. Asier Brull 1
  3. Asier Zubizarreta 1
  4. Itziar Cabanes 1
  5. Eva Portillo 1
  6. Ana Rodriguez 1
  7. Rakel Berriozabalgoitia 1
  1. 1 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info

    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

Libro:
XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018
  1. Inés Tejado Balsera (coord.)
  2. Emiliano Pérez Hernández (coord.)
  3. Antonio José Calderón Godoy (coord.)
  4. Isaías González Pérez (coord.)
  5. Pilar Merchán García (coord.)
  6. Jesús Lozano Rogado (coord.)
  7. Santiago Salamanca Miño (coord.)
  8. Blas M. Vinagre Jara (coord.)

Editorial: Universidad de Extremadura

ISBN: 978-84-9749-756-5,  978-84-09-04460-3

Año de publicación: 2018

Páginas: 1-7

Congreso: Jornadas de Automática (39. 2018. Badajoz)

Tipo: Aportación congreso

DOI: 10.17979/SPUDC.9788497497565.0001 DIALNET GOOGLE SCHOLAR lock_openRUC editor

Resumen

The knowledge of the trunk posture of patients with reduced mobility during rehabilitation therapies, allows better analysis of their recovery state and decrease the recovery times. However, most of upper limb rehabilitation robots are not capable to measure the posture of the trunk. In view of this situation, this work presents an innovate rehabilitation software that allows to therapist to know trunk and affected limb postures of the patient and estimate the percentage of movement performed with the trunk. The proposed software has been implemented in the UHP upper limb rehabilitation robot. Different experimental tests have been carried out with a group of 25 healthy people to demonstrate the validity of the approach. The results show that the proposed software performs correctly when measuring trunk movement.

Fuente de los datos: Dialnet