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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)

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)

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. ., 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)

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

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)