RT info:eu-repo/semantics/article
T1 A beta version of an application based on computer vision for the assessment of knee valgus angle: A validity and reliability study
A1 Ceballos Laita, Luis
A1 Marimon, Xavier
A1 Masip Alvarez, Albert
A1 Cabanillas Barea, Sara
A1 Jiménez del Barrio, Sandra
A1 Carrasco Uribarren, Andoni
K1 Athletes
K1 Atletas
K1 Kinematics
K1 Cinemática
K1 Computer vision
K1 Visión artificial (Robótica)
K1 Medicina deportiva
K1 Knee - Wounds and injuries
K1 Rodilla - Lesiones y heridas
K1 Medical care
K1 Sports medicine
K1 32 Ciencias Médicas
K1 2411.06 Fisiología del Ejercicio
K1 3314 Tecnología Médica
AB Background: In handball, the kinematics of the frontal plane seem to be one of the most important factors for the development of lower limb injuries. The knee valgus angle is a fundamental axis for injury prevention and is usually measured with 2D systems such as Kinovea software (Version 0.9.4.). Technological advances such as computer vision have the potential to revolutionize sports medicine. However, the validity and reliability of computer vision must be evaluated before using it in clinical practice. The aim of this study was to analyze the test-retest and inter-rater reliability and the concurrent validity of a beta version app based on computer vision for the measurement of knee valgus angle in elite handball athletes. Methods: The knee valgus angle of 42 elite handball athletes was measured. A frontal photo during a single-leg squat was taken, and two examiners measured the angle by the beta application based on computer vision at baseline and at one-week follow-up to calculate the test-retest and inter-rater reliability. A third examiner assessed the knee valgus angle using 2D Kinovea software to calculate the concurrent validity. Results: The knee valgus angle in the elite handball athletes was 158.54 ± 5.22°. The test-retest reliability for both examiners was excellent, showing an Intraclass Correlation Coefficient (ICC) of 0.859–0.933. The inter-rater reliability showed a moderate ICC: 0.658 (0.354–0.819). The standard error of the measurement with the app was stated between 1.69° and 3.50°, and the minimum detectable change was stated between 4.68° and 9.70°. The concurrent validity was strong r = 0.931; p < 0.001. Conclusions: The computer-based smartphone app showed an excellent test-retest and inter-rater reliability and a strong concurrent validity compared to Kinovea software for the measurement of the knee valgus angle.
PB MDPI
SN 2227-9032
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/64339
UL https://uvadoc.uva.es/handle/10324/64339
LA eng
NO Healthcare, 2023, Vol. 11, Nº. 9, 1258
NO Producción Científica
DS UVaDOC
RD 04-dic-2024