ir. A. Moya Esteban MSc (Alejandro)

PhD Candidate

About Me

I received my BSc. degree in Biomedical Engineering at the University of Malaga (Spain) in 2016 and my MSc. degree in Biomedical Engineering (Neural & Motor Systems specialization) at the University of Twente, in 2018. During my MSc thesis I assessed ankle joint stiffness during static and dynamic conditions, via system identification algorithms.

Currently, I am a PhD candidate at the Neuromechanical Modeling & Engineering Lab at the UT. My PhD is part of the Dutch NWO-TTW-Perspectief Project ExoAid. This program aims at developing wearable exoskeletons to augment or restore human motor functions. Specifically, I am working on subproject 8: Exo-Aid to support workers. I am working on real-time musculoskeletal EMG-driven models to control trunk exoskeletons. Our goal is to prevent work-related musculoskeletal disorders in dynamic heavy lifting (industry workers) or static high-precision work (medical surgeons). 


Identification (Control Systems)
Fatigue Of Materials
Chemical Activation


Brouwer, N. P., Tabasi, A. , Moya-Esteban, A. , Sartori, M., van Dijk, W., Kingma, I., & van Dieën, J. H. (2022). Can HDEMG-Based Low Back Muscle Fatigue Estimates Be Used in Exoskeleton Control During Prolonged Trunk Bending? A Pilot Study. In Wearable Robotics: Challenges and Trends: Proceedings of the 5th International Symposium on Wearable Robotics, WeRob2020, and of WearRAcon Europe 2020, October 13–16, 2020 (pp. 183-187). (Biosystems and Biorobotics; Vol. 27). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-69547-7_30
Moya-Esteban, A., Brouwer, N. P., Tabasi, A. , Kooij, H. V. D., Kingma, I. , & Sartori, M. (2020). Muscle-level analysis of trunk mechanics via musculoskeletal modeling and high-density electromyograms. In 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020 (pp. 1109-1114). [9224325] (Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics; Vol. 2020-November). IEEE Computer Society Press. https://doi.org/10.1109/BioRob49111.2020.9224325

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University of Twente
Faculty of Engineering Technology
Horst Complex (building no. 20), room W119
De Horst 2
7522LW  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Engineering Technology
Horst Complex  W119
P.O. Box 217
7500 AE Enschede
The Netherlands