Laschowski, B., Inkol, K. A., Mihailidis, A., & McPhee, J. (2022). Simulation of Energy Regeneration in Human Locomotion for Efficient Exoskeleton Actuation Presented at the IEEE RAS EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) conference. IEEE. https://doi.org/10.1109/BioRob52689.2022.9925349 (Original work published 2022)
References
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2022
Febrer-Nafría, M., Nasr, A., Ezati, M., Brown, P., Font-Llagunes, J. M., & McPhee, J. (2022). Predictive multibody dynamic simulation of human neuromusculoskeletal systems: a review Multibody System Dynamics. https://doi.org/https://doi.org/10.1007/s11044-022-09852-x (Original work published 2022)
McPhee, J. (2022). A review of dynamic models and measurements in golf Sports Engineering, 25, 1-19. https://doi.org/https://doi.org/10.1007/s12283-022-00387-0 (Original work published 2022)
Laschowski, B., McNally, W., Wong, A., & McPhee, J. (2022). Environment Classification for Robotic Leg Prostheses and Exoskeletons using Deep Convolutional Neural Networks Frontiers in Neurorobotics, 15. https://doi.org/10.3389/fnbot.2021.730965 (Original work published 2022)
Nasr, A., Ferguson, S., & McPhee, J. (2022). Model-based design and optimization of passive shoulder exoskeletons J. Comput. Nonlinear Dynam., 17. https://doi.org/10.1115/1.4053405 (Original work published 2022)
2021
Nasr, A., Inkol, K. A., Bell, S., & McPhee, J. (2021). InverseMuscleNET: alternative machine learning solution to static optimization and inverse muscle modeling Frontiers in Computational Neuroscience, 15, 759489.
Nasr, A., Inkol, K. A., Bell, S., & McPhee, J. (2021). InverseMuscleNET: Alternative machine learning solution to static optimization and inverse muscle modeling Frontiers in Computational Neuroscience. https://doi.org/10.3389/fncom.2021.759489 (Original work published 2021)
Zhao, J., Li, X., Shum, C., & McPhee, J. (2021). A review of physics‐based and data‐driven models for real‐time control of polymer electrolyte membrane fuel cells Energy and AI, 6, 100114.
Masoudi, R., & McPhee, J. (2021). Application of Karhunen‐‐Lo\ eve decomposition and piecewise linearization to a physics‐based battery model Electrochimica Acta, 365, 137093.
Zhao, J., Li, X., Shum, C., & McPhee, J. (2021). A review of physics‐based and data‐driven models for real‐time control of polymer electrolyte membrane fuel cells Energy and AI, 6, 100114.