45 citations as recorded by crossref.

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21. A comprehensive sensorimotor control model emulating neural activities for planar human arm reaching movements Y. Zhao et al. 10.1007/s10489-023-04796-x
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23. Validation of an Artificial Intelligence-Based Ultrasound Imaging System for Quantifying Muscle Architecture Parameters of the Rectus Femoris in Disease-Related Malnutrition (DRM) S. García-Herreros et al. 10.3390/nu16121806
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28. A Musculoskeletal Multibody Algorithm Based on a Novel Rheonomic Constraints Definition Applied to the Lower Limb A. Ruggiero & A. Sicilia 10.1115/1.4053874
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31. Scalable musculoskeletal model for dynamic simulations of upper body movement A. Nasr et al. 10.1080/10255842.2023.2184747
32. Computational model to investigate the relative contributions of different neuromuscular properties of tibialis anterior on force generated during ankle dorsiflexion A. Siddiqi et al. 10.1007/s11517-018-1788-1
33. A Novel Explicit Analytical Multibody Approach for the Analysis of Upper Limb Dynamics and Joint Reactions Calculation Considering Muscle Wrapping A. Ruggiero & A. Sicilia 10.3390/app10217760
34. A Hybrid Deep Learning Framework for Estimation of Elbow Flexion Force via Electromyography W. Lu et al. 10.1088/1742-6596/1883/1/012164
35. Influence of the Musculotendon Dynamics on the Muscle Force-Sharing Problem of the Shoulder—A Fully Inverse Dynamics Approach Q. Carlos et al. 10.1115/1.4039675
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39. sEMG-Upper Limb Interaction Force Estimation Framework Based on Residual Network and Bidirectional Long Short-Term Memory Network W. Lu et al. 10.3390/app12178652
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41. Multi-Segmentation Parallel CNN Model for Estimating Assembly Torque Using Surface Electromyography Signals C. Chen et al. 10.3390/s20154213
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43. Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models C. Kleinbach et al. 10.1186/s12938-017-0399-7
44. Generalized EMG-based isometric contact force estimation using a deep learning approach G. Hajian et al. 10.1016/j.bspc.2021.103012
45. sEMG-based prediction of human forearm movements utilizing a biomechanical model based on individual anatomical/ physiological measures and a reduced set of optimization parameters N. Grimmelsmann et al. 10.1371/journal.pone.0289549