References

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)

Danaei, B., & McPhee, J. (2024). Optimal Implant Positioning Following Total Knee Arthroplasty Using Predictive Dynamic Simulation Journal of Biomechanical Engineering, 146, 111003.

Ghiatt, K., Koh, A. L., Scapucciati, L. ea, & Kinugawa, K. (2024). Gaussianity Evaluation of HD‐sEMG Signals with Aging and Sex During Low and Moderate Isometric Contractions of the Biceps Brachii IRBM, 45, 100851.

Bell, S., Nasr, A., & McPhee, J. (2024). General muscle torque generator model for a two degree-of-freedom shoulder joint Journal of Biomechanical Engineering. https://doi.org/https://doi.org/10.1115/1.4065044 (Original work published 2024)

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.

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)

Nasr, A., Dickerson, C. R., & McPhee, J. (2023). Experimental study of fully passive, fully active, and active-passive upper-limb exoskeleton efficiency: An assessment of lifting tasks Sensors, 24. https://doi.org/https://doi.org/10.3390/s24010063 (Original work published 2023)

Hashemi, A., Orzechowski, G., Mikkola, A., & McPhee, J. (2023). Multibody Dynamics and Control using Machine Learning Multibody System Dynamics.

Haraguchi, N., Nasr, A., Inkol, K. A., Hase, K., & McPhee, J. (2023). Human and passive lower-limb exoskeleton interaction analysis: Computational study with dynamics simulation using nonlinear model predictive control Presented at the The Society of Instrument and Control Engineers (SICE) Annual Conference conference. Tsu, Japan: IEEE. https://doi.org/https://doi.org/10.23919/SICE59929.2023.10354196 (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.