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A 3-D Biomechanical Skeleton Model for Posture and Movement Analysis.

Authors :
Uyttendaele, Dirk
Dangerfield, Peter H.
D'Amico, Moreno
D'Amico, Gabriele
Roncoletta, Piero
Source :
Studies in Health Technology & Informatics; Jun2006, Vol. 123, p188-194, 7p
Publication Year :
2006

Abstract

A project to merge into a full 3D reliable and detailed human skeleton representation various segmental biomechanical models presented in literature has been undertaken by our group. The obtained 3D skeleton model is fully parametric and can so be fitted to each subject anthropometric characteristics. A non-ionizing approach based on 3D opto-electronic measurements of body landmarks labelled by passive markers has been chosen to build the 3D parametric biomechanical skeleton model. To this aim various protocols involving different body labelling (and so different related anthropometric data) have been established for different analyses. To analyse human posture and spinal related pathologies, a 27 markers protocol has been set for static analysis, while 49 markers protocol has been set for gait and movement analysis. A special focus has been devoted to identify and model the spine with a correct degree of accuracy and reliability. To this aim complex signal processing and optimisation procedures have been tested. The model is able to fully integrate information deriving from other measurements devices as force platform data, surface EMG, foot pressure maps. The presented model is the first proposed in literature, to authors knowledge, able to process such multifactorial information to perform a full kinematic and kinetic analysis with particular focus on the spine. Several hundreds of patients have been already analysed and followed up with this methodology that proved to be useful for various posture and spine related pathologies (in particular spine deformities, low-back pain etc.). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09269630
Volume :
123
Database :
Complementary Index
Journal :
Studies in Health Technology & Informatics
Publication Type :
Academic Journal
Accession number :
22987877