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Musculoskeletal models are an interesting avenue for human movement analysis since they allows us to noninvasively estimate muscles forces and internal joint loads. Consequently, they are becoming also more important in the clinical practice. So far our musculoskeletal shoulder model can perform only simple movements like abduction and flexion. However, it is in the great interest of clinicians to restore correct movements in everyday life of patients. Thus, the next step is to apply the activities of daily living into the model. It will be implemented using previously collected data from intracortical bone pins. As a gold standard, this dataset is highly accurate and allows us to obtain the joint kinematics without soft tissue artefacts. Model will be scale based on the CT-scals to match the patient specific geometry. To validate the model performance the resulting glenohumeral translation will be compared between model prediction and in-vivo measurements.
Nicola Hagemeister
Aalborg University
Engineering
Technology; Health and Related Sciences & Technology
École de technologie supérieure
Globalink Research Award
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