Algoritmo para la estimación del ángulo anteroposterior de una muleta sensorizada

  1. Iñigo Sesar 1
  2. Asier Zubizarreta 1
  3. 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

Book:
XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019
  1. Jose Luis Calvo Rolle (coord.)
  2. Jose Luis Casteleiro Roca (coord.)
  3. María Isabel Fernández Ibáñez (coord.)
  4. Óscar Fontenla Romero (coord.)
  5. Esteban Jove Pérez (coord.)
  6. Alberto José Leira Rejas (coord.)
  7. José Antonio López Vázquez (coord.)
  8. Vanesa Loureiro Vázquez (coord.)
  9. María Carmen Meizoso López (coord.)
  10. Francisco Javier Pérez Castelo (coord.)
  11. Andrés José Piñón Pazos (coord.)
  12. Héctor Quintián Pardo (coord.)
  13. Juan Manuel Rivas Rodríguez (coord.)
  14. Benigno Rodríguez Gómez (coord.)
  15. Rafael Alejandro Vega Vega (coord.)

Publisher: Servizo de Publicacións ; Universidade da Coruña

ISBN: 978-84-9749-716-9

Year of publication: 2019

Pages: 101-106

Congress: Jornadas de Automática (40. 2019. Ferrol)

Type: Conference paper

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Abstract

In lower limb rehabilitation therapies, gait monitoring is an interesting source of information for the therapist, as it allows to personalise the therapy to the particular needs of each patient. However, most devices proposed in the literature are based on invasive solutions that hamper the motion of the patient. Integrating sensors in assistive devices such as crutches allow to solve this issue. This way, in this work a novel algorithm is proposed, which allows to estimate the anteroposterior motion of the crutch, using a force sensor, an inclinometer and a gyroscope. This estimation can be used to define indicators that can be used to evaluate patient status, being an important source of information for the therapist.

Data source: Dialnet