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prof.dr.ir. M. Sartori (Massimo)

Professor and Chair of Neuromechanical Engineering

Over mij

Tijdens een inspirerend promotie-onderzoek en postdoc aan zowel de Universiteit van Padova, Stanford University en het Universitair Medisch centrum Goettingen, verwierf Massimo Sartori fundamentele kennis in computationele neuromechanica wat hem motiveerde fundamentele vragen over mens en machine interactie te beantwoorden. Prof.dr.ir. Sartori was gast redacteur voor IEEE Transactions on Biomedical Engineering en Frontiers in Computational Neuroscience en leidde onderzoeksactiviteiten in nationale en Europese projecten. Tussen 2014 en 2018 ontving hij de NIH- OpenSim Fellowship, de NCSRR Outstanding Research Award, een Marie-Skłodowska-Curie Individual Fellowship en een ERC Starting Grant. Hij is momenteel een associate-hoogleraar aan de Universiteit van Twente en leidt een groeiende onderzoeksgroep.  

Expertises

Engineering & Materials Science
Electromyography
Exoskeleton (Robotics)
Muscle
Patient Rehabilitation
Robotics
Medicine & Life Sciences
Electromyography
Joints
Muscles

Nevenactiviteiten

  • IEEE
    Associate Editor at the IEEE Transactions of Neural System and Rehabilitation Engineering

Publicaties

Recent
Nabipour, M., Sawicki, G. , & Sartori, M. (Accepted/In press). Predictive Control of Plantarflexor Muscle-Tendon Force During Simulated Human Hopping. Abstract from 28th Congress of the European Society of Biomechanics, ESB 2023, Maastricht, Netherlands.
Nabipour, M. , & Sartori, M. (Accepted/In press). Closed-form Modeling of the Soleus Musculotendon Unit. 1-1. Abstract from 28th Congress of the European Society of Biomechanics, ESB 2023, Maastricht, Netherlands.
Ornelas-Kobayashi, R., Gogeascoechea, A. , & Sartori, M. (2023). Person-Specific Biophysical Modeling of Alpha-Motoneuron Pools Driven by in vivo Decoded Neural Synaptic Input. IEEE transactions on neural systems and rehabilitation engineering, 31, 1532-1541. https://doi.org/10.1109/TNSRE.2023.3247873
Wang, H. , Keemink, A. Q. L. , & Sartori, M. (2022). Identification of reflex neural controllers directly from locomotion data. Abstract from 9th World Congress of Biomechanics, WCB 2022, Taipei, Taiwan.
Wang, H. , Sartori, M. , & Durandau, G. V. (2022). Biomechanics in the wild: establish and validation of a wearable kinetic measurement system. Abstract from 27th Congress of the European Society of Biomechanics, ESB 2022, Porto, Portugal.
Caggiano, V., Wang, H. , Durandau, G. , Sartori, M., & Kumar, V. (2022). MyoSuite--A contact-rich simulation suite for musculoskeletal motor control. Proceedings of Machine Learning Research, 168.
Niehaus, S., Ajoudani, A., Bianchi, M. , Durandau, G., Fritzsche, L., Gaertner, C. , Refai, M. I. , Sartori, M., Wang, H., & Wischniewski, S. (2022). Human-centred design of robotic systems and exoskeletons using digital human models within the research project SOPHIA. Zeitschrift für Arbeitswissenschaft, 76(4), 450–458. https://doi.org/10.1007/s41449-022-00335-5
Manz, S., Valette, R., Damonte, F., Gaudio, L. A., González-Vargas, J. , Sartori, M., Dosen, S. , & Rietman, J. (2022). A review of user needs to drive the development of lower limb prostheses. Journal of neuroengineering and rehabilitation, 19, [119]. https://doi.org/10.1186/s12984-022-01097-1
Ornelas Kobayashi, R. E., Gogeascoechea Hernandez, A. D. J., Tomy, L. J. , van Asseldonk, E. H. F. , & Sartori, M. (2022). Neural data-driven model of spinal excitability changes induced by transcutaneous electrical stimulation in spinal cord injury subjects. In 2022 International Conference on Rehabilitation Robotics (ICORR) IEEE. https://doi.org/10.1109/ICORR55369.2022.9896517
Romero-Sánchez, F., Luporini Menegaldo, L., Font-Llagunes, J. M. , & Sartori, M. (2022). Editorial: Rehabilitation robotics: Challenges in design, control, and real applications. Frontiers in neurorobotics, 16, [957905]. https://doi.org/10.3389/fnbot.2022.957905
Wang, H., Caggiano, V. , Durandau, G. , Sartori, M., & Kumar, V. (2022). MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies. In 2022 IEEE International Conference on Robotics and Automation, ICRA 2022 (pp. 8104-8111). (Proceedings - IEEE International Conference on Robotics and Automation). IEEE. https://doi.org/10.1109/ICRA46639.2022.9811684
Brouwer, N. P., Tabasi, A., Kingma, I., Stegeman, D. F., van Dijk, W. , Moya-Esteban, A. , Sartori, M., & van Dieën, J. H. (2022). Low back muscle action potential conduction velocity estimated using high-density electromyography. Journal of electromyography and kinesiology, 66, [102679]. https://doi.org/10.1016/j.jelekin.2022.102679
Mohamed Refai, M. I., Wang, H. , Moya Esteban, A. , & Sartori, M. (2022). Fatigue analysis using electromyography driven musculoskeletal trunk models. Abstract from 27th Congress of the European Society of Biomechanics, ESB 2022, Porto, Portugal.

Pure Link

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Current Projects

Finished Projects

  • Electromyography-driven musculoskeletal modelling for biomimetic myoelectric control of prostheses with variable stiffness actuators

  • H2R: Integrative Approach for the Emergence of Human-like Locomotion

Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Engineering Technology
Horst Complex (gebouwnr. 20), kamer W111
De Horst 2
7522LW  Enschede

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Postadres

Universiteit Twente
Faculty of Engineering Technology
Horst Complex  W111
Postbus 217
7500 AE Enschede

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