Reference author: Ali Nasr

First name

Ali

Last name

Nasr

Nasr, A. ., Ferguson, S. ., & McPhee, J. . (2021). Model-based design and optimization of passive shoulder exoskeletons. ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Presented at the. ASME.

Nasr, A. ., Bell, S. ., He, J. ., Whittaker, R. L., Jiang, N. ., Dickerson, C. R., & McPhee, J. . (2021). MuscleNET: Mapping electromyography to kinematic and dynamic biomechanical variables by machine learning. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ac1adc (Original work published 2021)

Nasr, A. ., Laschowski, B. ., & McPhee, J. . (2021). Myoelectric control of robotic leg prostheses and exoskeletons: A review. ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Presented at the. ASME.

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)

Nasr, A. ., Bell, S. ., Whittaker, R. L., Dickerson, C. R., & McPhee, J. . (2024). Robust machine learning mapping of sEMG signals to future actuator commands in biomechatronic devices. Journal of Bionic Engineering, 21. https://doi.org/https://doi.org/10.1007/s42235-023-00453-8 (Original work published 2024)

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)

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)

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. The Society of Instrument and Control Engineers (SICE) Annual Conference. Presented at the. Tsu, Japan: IEEE. https://doi.org/https://doi.org/10.23919/SICE59929.2023.10354196 (Original work published 2023)

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)