Using external back shape curvature to predict internal vertebrae positions in sitting postures: preliminary results

Aurélie Tomezzoli (1) , Asmae Agouram (1) , B Chalamet (2) , Jean-Baptiste Pialat (2) , Sonia Duprey (1) , Bertrand Frechede (1)

1 LBMC UMR T9406 - Laboratoire de Biomécanique et Mécanique des Chocs
2 CHLS - Centre Hospitalier Lyon Sud [CHU - HCL]

The aim of our study was to build models which are valid and robust in several seated spinal postures. To achieve this goal, predictors that are correlated to spinalpostures should be added to existing models. We hypothesized that external back shape curvatures are important predictors of vertebrae positions. As a firststep to assess this hypothesis, univariate statistical models were built; only the best coefficients of determination (R2) of models from C4 to Th10 vertebrae were considered and presented in these preliminary results.

Mots clés: COLONNE VERTEBRALE; POSTURE; POSITION ASSISE; MODELE

Domaines: Biomécanique [physics.med-ph]

Aurélie Tomezzoli, Asmae Agouram, B Chalamet, Jean-Baptiste Pialat, Sonia Duprey, et al.. Using external back shape curvature to predict internal vertebrae positions in sitting postures: preliminary results. SB 2022, 47eme Congrès de la Société de Biomécanique, Oct 2022, Monastir, Tunisia. pp S293-S294. ⟨hal-03864901⟩