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Towards the Use of Neuromusculoskeletal Modeling in Clinical Practice: A Feasibility Study in Parkinson Disease Patients

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Converging Clinical and Engineering Research on Neurorehabilitation IV (ICNR 2020)

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 28))

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Abstract

Electromyography (EMG)-driven neuromusculo-skeletal models (NMSM) are currently used to estimate joint moments and muscle forces during dynamic movements considering subject-specific neural-excitation patterns provided by the EMG data. However, these models are rarely adopted in routine clinical applications. This is partly due to limitations in obtaining realistic maxima voluntary contractions (MVC) in pathological subjects for calibration purposes and in the number of required experimental EMG signals that are difficult to be assessed in neurological conditions (e.g. Parkinson’s Disease (PD)). This study aims at verifying the feasibility of introducing EMG-driven NMSM for planning rehabilitation treatments in PD. Thus, a minimal experimental setup compatible with clinics requirements is proposed herein. Four different NMSM were implemented with two different EMG normalization methods and with two different set of experimental EMGs for the muscletendon unit mapping. Results seems promising as no statistically significant differences between the full model and the proposed reduced model were observed.

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References

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Acknowledgements

The work was supported by the Fresco Parkinson Institute Italia Onlus.

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Correspondence to M. Romanato or Z. Sawacha .

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Romanato, M., Volpe, D., Guiotto, A., Spolaor, F., Sartori, M., Sawacha, Z. (2022). Towards the Use of Neuromusculoskeletal Modeling in Clinical Practice: A Feasibility Study in Parkinson Disease Patients. In: Torricelli, D., Akay, M., Pons, J.L. (eds) Converging Clinical and Engineering Research on Neurorehabilitation IV. ICNR 2020. Biosystems & Biorobotics, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-030-70316-5_70

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  • DOI: https://doi.org/10.1007/978-3-030-70316-5_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70315-8

  • Online ISBN: 978-3-030-70316-5

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