University of Twente Student Theses
Augmenting an EMG-driven muscoskeletal model by accounting for intrisic muscle properties to improve joint stiffness estimation
Cabral, M.J. (2019) Augmenting an EMG-driven muscoskeletal model by accounting for intrisic muscle properties to improve joint stiffness estimation.
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| Abstract: | Objective: Short-range stiffness (SRS) is the main muscle mechanism to respond to perturbations. In current literature no models of SRS have been applied to dynamic tasks. In this study, a novel methodology to implement SRS in electromyography(EMG)-driven musculoskeletal modeling and further validation in dynamic and static tasks against system identification techniques is proposed. Methods: EMG signals, motion capture, and kinematic and dynamic data of the ankle joint and surrounding muscle acquired during plantar-dorsi flexion movements were used used to drive the musculoskeletal modelling framework in order to estimate ankle joint stiffness. A model of SRS was added to the modeling framework. An automatic fiber stretch detection algorithm was developed to trigger SRS. An optimization algorithm was implemented to account for amplitude of the movement in SRS calculation. Results: The proposed model with the inclusion of SRS improved the estimations of joint stiffness in comparison with the model without SRS, especially during the static conditions. The model was able to differentiate between the different tasks, by increasing or decreasing the contribution of SRS when the muscles suffered large or small amplitude of movement, respectively. The model detected with an accuracy of 92% the perturbations applied and, consequently, the trigger of SRS. Conclusion: The suggested methodology provides a prof of concept to implement SRS in musculoskeletal models. The ability to trigger the computation of SRS without providing additional information to the model and adjusting the computed SRS according to the amplitude of the movement enables the application of the model in any type of task. |
| Item Type: | Essay (Master) |
| Faculty: | TNW: Science and Technology |
| Subject: | 50 technical science in general |
| Programme: | Biomedical Engineering MSc (66226) |
| Link to this item: | https://purl.utwente.nl/essays/78977 |
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