Navegando por Autor "Levai, Irisz Karolina"

Filtrar resultados informando as primeiras letras
Agora exibindo 1 - 1 de 1
  • Imagem de Miniatura
    Item
    Comparison of marker models for the analysis of the volume variation and thoracoabdominal motion pattern in untrained and trained participants
    (Journal of Biomechanics, 2018-06-08) Massaroni, Carlo; Silvatti, Amanda Piaia; Levai, Irisz Karolina; Dickinson, John; Winter, Samantha; Schena, Emiliano; Silvestri, Sergio
    Respiratory assessment and the biomechanical analysis of chest and abdomen motion during breathing can be carried out using motion capture systems. An advantage of this methodology is that it allows analysis of compartmental breathing volumes, thoraco-abdominal patterns, percentage contribution of each compartment and the coordination between compartments. In the literature, mainly, two marker models are reported, a full marker model of 89 markers placed on the trunk and a reduced marker model with 32 markers. However, in practice, positioning and post-process a large number of markers on the trunk can be time-consuming. In this study, the full marker model was compared against the one that uses a reduced number of markers, in order to evaluate (i) their capability to obtain respiratory parameters (breath-by-breath tidal volumes) and thoracoabdominal motion pattern (compartmental percentage contributions, and coordination between compartments) during quiet breathing, and (ii) their response in different groups such as trained and untrained, male and female. Although tests revealed strong correlations of the tidal volume values in all the groups (R2 > 0.93), the reduced model underestimated the trunk volume compared with the 89 marker model. The highest underestimation was found in trained males (bias of 0.43 L). The three-way ANOVA test showed that the model did not influence the evaluation of compartmental contributions and the 32 marker model was adequate to distinguish thoracoabdominal breathing pattern in the studied groups. Our findings showed that the reduced marker model could be used to analyse the thoracoabdominal motion in both trained and untrained populations but performs poorly in estimating tidal volume.