Aplicación de técnicas de agrupamiento a corredores de resistencia para la estimación del umbral de lactato

  1. Urtats Etxegarai 1
  2. Eva Portillo 1
  3. Jon Irazusta 1
  4. Itziar Cabanes 1
  5. Asier Zubizarreta 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:
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.)

Editorial: Servizo de Publicacións ; Universidade da Coruña

ISBN: 978-84-9749-716-9

Año de publicación: 2019

Páginas: 71-78

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

Tipo: Aportación congreso

Resumen

Nowadays, running is one of the most popular sports and it is considered a healthy habit in everyday life. This sport practice is also encouraged by the celebration of multiple popular competitions, which are driving a growing interest in improving athletic performance as well as the safety of the runners. In this sense, in the last decade the use of Smart Watches to monitor physiological variables is becoming more and more common. However, not all the physiological variables of interest can be monitored, among them the lactate, whose measurement requires blood sampling. The lactate curve enables to extract the lactate threshold, which is essential for training-load prescription and assessment. In this work the design and development of a virtual lactate sensor is proposed. More specifically, this article analyzes the applicability of grouping techniques as an alternative towards a personalized estimation of the lactate threshold.