Nasr, A., Bell, S., Whittaker, R. L., & Dickerson, C. R. and. (2024). Robust machine learning mapping of sEMG signals to future actuator commands in biomechatronic devices Journal of Bionic Engineering, 21, 270‐‐287.
References
Filter by:
Nasr, A., Hashemi, A., & McPhee, J. (2024). Scalable musculoskeletal model for dynamic simulations of upper body movement Computer Methods in Biomechanics and Biomedical Engineering, 27, 306‐‐337.
Nasr, A., & McPhee, J. (2024). Scalable musculoskeletal model for dynamic simulations of lower body movement Computer Methods in Biomechanics and Biomedical Engineering. https://doi.org/https://doi.org/10.1080/10255842.2024.2316240 (Original work published 2024)
Caldwell, A., & McPhee, J. (2024). Three‐dimensional golf clubhead‐ball impact models for drivers and irons Sports Engineering, 27, 16.
Nasr, A., Hashemi, A., & McPhee, J. (2023). Scalable musculoskeletal model for dynamic simulations of upper body movement Computer Methods in Biomechanics and Biomedical Engineering, 27. https://doi.org/https://doi.org/10.1080/10255842.2023.2184747 (Original work published 2023)
Nasr, A., Hunter, J., Dickerson, C. R., & McPhee, J. (2023). Evaluation of a machine‐learning‐driven active‐‐passive upper‐limb exoskeleton robot: Experimental human‐in‐the‐loop study Wearable Technologies, 4, e13.
Laschowski, B., & McPhee, J. (2023). Energy-Efficient Actuator Design Principles for Robotic Leg Prostheses and Exoskeletons: A Review of Series Elasticity and Backdrivability ASME Journal of Computational and Nonlinear Dynamics. https://doi.org/10.1115/1.4056919
Zhao, J., Li, X., Shum, C., & McPhee, J. (2023). Control‐oriented computational fuel cell dynamics modeling‐‐model order reduction vs. computational speed Energy, 266, 126488.
Nasr, A., Hunter, J., Dickerson, C. R., & McPhee, J. (2023). Evaluation of a machine-learning-driven active-passive upper-limb exoskeleton robot: Experimental human-in-the-loop study Wearable Technologies, 4. https://doi.org/https://doi.org/10.1017/wtc.2023.9 (Original work published 2023)
Zhao, J., Li, X., Shum, C., & McPhee, J. (2023). A computationally efficient and high‐fidelity 1D steady‐state performance model for PEM fuel cells Journal of Physics: Energy, 5, 015003.