Abstract
Identifying the centre of the glenohumeral joint (GHJ) is essential for three-dimensional (3D) upper limb motion analysis. The International Society of Biomechanics recommends a predictive method to locate the GHJ based on the identification of scapular landmarks [Meskers, 1998]. However, it is not practical to track these landmarks in dynamic motion analysis using skin based markers [Karduna, 2001]. Consequently, alternate, markerset dependent, unvalidated GHJ estimation methods proliferate. This study aimed to develop and validate a regression model (RM) to locate the GHJ using a practical and applicable marker set.
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