Abstract
Forward-dynamic (FD) biomechanical models are ideally suited to computer-assisted surgical planning (CASP) as they allow the effects of changes to the musculo-skeletal system to be studied with no a priori knowledge of post-
operative kinematics. Furthermore, the interpretation of movements as output in terms of patient function is straightforward. Conventional forward-dynamic models try to optimise the neural inputs needed to drive the model, which can lead to impractically long simulation times. For large-scale models, which are essential for realistic modelling, a week on a supercomputer would not be unrealistic. An efficient method for the optimisation of FD musculo-skeletal models combining inverse and forward dynamics is described in this study. This method allows the use of large-scale, forward-dynamic biomechanical models
in computer-assisted surgical planning and has been applied to a model of the shoulder and elbow (DSEM). The method described features an efficient algorithm for the calculation of the neural inputs necessary for the simulation, which will lead to clinically feasible simulation times.
operative kinematics. Furthermore, the interpretation of movements as output in terms of patient function is straightforward. Conventional forward-dynamic models try to optimise the neural inputs needed to drive the model, which can lead to impractically long simulation times. For large-scale models, which are essential for realistic modelling, a week on a supercomputer would not be unrealistic. An efficient method for the optimisation of FD musculo-skeletal models combining inverse and forward dynamics is described in this study. This method allows the use of large-scale, forward-dynamic biomechanical models
in computer-assisted surgical planning and has been applied to a model of the shoulder and elbow (DSEM). The method described features an efficient algorithm for the calculation of the neural inputs necessary for the simulation, which will lead to clinically feasible simulation times.
| Original language | English |
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| Publication status | Published - 2003 |