Subject-specific trunk segmental masses prediction for musculoskeletal models using artificial neural networks
Author:
Funder
Khalifa University
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11517-024-03100-4.pdf
Reference36 articles.
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2. Narang YS, Murthy Arelekatti VN, Winter AG (2016) The effects of the inertial properties of above-knee prostheses on optimal stiffness, damping, and engagement parameters of passive prosthetic knees. J Biomech Eng 138. https://doi.org/10.1115/1.4034168
3. Pearsall DJ, Costigan PA (1999) The effect of segment parameter error on gait analysis results. Gait Posture 9:173–183. https://doi.org/10.1016/s0966-6362(99)00011-9
4. Silva MPT, Ambrósio JAC (2004) Sensitivity of the results produced by the inverse dynamic analysis of a human stride to perturbed input data. Gait Posture 19:35–49. https://doi.org/10.1016/S0966-6362(03)00013-4
5. Fritz J, Kröll J, Schwameder H (2019) Influence of body segment parameter estimation on calculated ground reaction forces in highly dynamic movements. J Biomech 84:11–17. https://doi.org/10.1016/j.jbiomech.2018.12.008
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