Evaluación de la capacidad de una contera sensorizada para detectar cambios en el patrón de la marcha

  1. Otamendi, Janire 1
  2. Lucas, Sergio 1
  3. Zubizarreta, Asier 1
  4. Brull, Asier 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:
XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja)
  1. Carlos Balaguer Bernaldo de Quirós (coord.)
  2. José Manuel Andújar Márquez (coord.)
  3. Ramon Costa Castelló (coord.)
  4. Carlos Ocampo Martínez (coord.)
  5. Jesús Fernández Lozano (coord.)
  6. Matilde Santos Peñas (coord.)
  7. José Enrique Simó Ten (coord.)
  8. Montserrat Gil Martínez (coord.)
  9. Jose Luis Calvo Rolle (coord.)
  10. Raúl Marín Prades (coord.)
  11. Eduardo Rocón de Lima (coord.)
  12. Elisabet Estévez Estévez (coord.)
  13. Pedro Jesús Cabrera Santana (coord.)
  14. David Muñoz de la Peña Sequedo (coord.)
  15. José Luis Guzmán Sánchez (coord.)
  16. José Luis Pitarch Pérez (coord.)
  17. Oscar Reinoso García (coord.)
  18. Oscar Déniz Suárez (coord.)
  19. Emilio Jiménez Macías (coord.)
  20. Vanesa Loureiro Vázquez (coord.)

Publisher: Servizo de Publicacións ; Universidade da Coruña

ISBN: 978-84-9749-841-8

Year of publication: 2022

Pages: 108-115

Congress: Jornadas de Automática (43. 2022. Logroño)

Type: Conference paper

Abstract

Personalized therapies have proven to be effective in improving the physical abilities, and therefore, the quality of life of people with motor impairments. However, in order to design such therapies, it is necessary to know the functional state of each patient and to detect any changes that may occur. Traditional assessment systems require time and dedication, so the frequency between sessions is often low. In order to overcome these limitations, several studies have proposed the use of assistive devices for walking as monitoring systems to extract indicators that can help the therapist in the assessment. Based on this, the present study evaluates the capacity of a sensorized tip to detect changes in the gait pattern, both in simulated scenarios and in people with multiple sclerosis.