Desarrollo de una muleta sensorizada para medir la inclinación y el peso descargado

  1. Iñigo Sesar 1
  2. Aitziber Mancisidor 1
  3. Asier Brull 1
  4. Asier Zubizarreta 1
  5. Itziar Cabanes 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

Liburua:
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.)

Argitaletxea: Universidad de Extremadura

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

Argitalpen urtea: 2018

Orrialdeak: 80-87

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

Mota: Biltzar ekarpena

DOI: 10.17979/SPUDC.9788497497565.0080 DIALNET GOOGLE SCHOLAR lock_openRUC editor

Laburpena

The traditional clinical scales used for the diagnosis of the functional state of patients with neurological disease are subjective and provide a low resolution. However, it is possible to include force and movement sensors in passive rehabilitation devices, inorder to make an objective and quantitative diagnosis. This work presents the design of an instrumented crutch, which in cludes a force sensor, an inclinometer and an IMU, which consists of a triaxial accelerometer and gyroscope. In addition, it shows the values of the force and inclination, obtained in a case of study. The inclination estimated by the inclinometer and the IMU is validated using a camera.

Datuen iturria: Dialnet