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)
Publications
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MohammadiNasrabadi, A. ., Moammer, G. ., Quateen, A. ., Bhanot, K. ., & McPhee, J. . (2024). Landet: an efficient physics-informed deep learning approach for automatic detection of anatomical landmarks and measurement of spinopelvic alignment. Journal of Orthopaedic Surgery and Research, 19. https://doi.org/https://doi.org/10.1186/s13018-024-04654-7
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)
Krishnan, B. ., Zanelli, S. ., Boudaoud, S. ., Scapucciati, L. ., McPhee, J. ., & Jiang, N. . (2023). Age-sensitive high density surface electromyogram indices for detecting muscle fatigue using core shape modelling. Biomedical Signal Processing and Control, 81. https://doi.org/https://doi.org/10.1016/j.bspc.2022.104446 (Original work published 2023)
MohammadiNasrabadi, A. ., & McPhee, J. . (2023). Preliminary optimization of cup-implant orientation in total-hip arthroplasty using a parametric predictive analysis of lower-limb dynamics influenced by spine stiffness. Multibody System Dynamics, 1-26. https://doi.org/https://doi.org/10.1007/s11044-023-09951-3
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
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. 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)