Task-specific differentiation of patellofemoral pain in women using a neural network analysis of joint angle subsets.

Journal: Gait & posture
Published Date: May 24, 2025

Abstract

BACKGROUND: Individuals with patellofemoral pain (PFP) present mechanical disorders during functional tests and activities. Studies often evaluate this population to understand the relationship between mechanical factors and pain/malalignment. This study aimed to identify how different groupings of kinematic variables can differentiate asymptomatic women from women with PFP in various functional tasks.

Authors

  • Leticia Delgado Borges
    Department of Rehabilitation Science, Human Motion Analysis Laboratory, Nove de Julho University, Rua Vergueiro, nº 235/249 - Liberdade - SP, 01504-001, 1º Subsolo, São Paulo Brazil. Electronic address: leticiadelgadob@outlook.com.
  • Gabor József Barton
    Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 3AF, United Kingdom. Electronic address: G.J.Barton@ljmu.ac.uk.
  • Silvio Antonio Garbelotti Junior
    Department of Anatomy, Santa Marcelina Medical School, Rua Cachoeira Utupanema, 40 - Vila Carmosina, São Paulo 08270-140, Brazil. Electronic address: silviogarbelotti@gmail.com.
  • Fabiano Politti
    Department of Rehabilitation Science, Human Motion Analysis Laboratory, Nove de Julho University, Rua Vergueiro, nº 235/249 - Liberdade - SP, 01504-001, 1º Subsolo, São Paulo Brazil. Electronic address: politti@uni9.pro.br.
  • Cintia Lopes Ferreira
    Department of Rehabilitation Science, Human Motion Analysis Laboratory, Nove de Julho University, Rua Vergueiro, nº 235/249 - Liberdade - SP, 01504-001, 1º Subsolo, São Paulo Brazil. Electronic address: f.cintialopes@gmail.com.
  • Paulo Roberto Garcia Lucareli
    Department of Rehabilitation Science, Human Motion Analysis Laboratory, Nove de Julho University, Rua Vergueiro, nº 235/249 - Liberdade - SP, 01504-001, 1º Subsolo, São Paulo Brazil. Electronic address: paulolucareli@uni9.pro.br.

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