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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
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. 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.
Romanato, M., Volpe, D., Guiotto, A., Spolaor, F. , Sartori, M., & Sawacha, Z. (2022). Towards the Use of Neuromusculoskeletal Modeling in Clinical Practice: A Feasibility Study in Parkinson Disease Patients. In D. Torricelli, M. Akay, & J. L. Pons (Eds.), Converging Clinical and Engineering Research on Neurorehabilitation IV: Proceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13–16, 2020 (pp. 439-443). (Biosystems and Biorobotics; Vol. 28). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-70316-5_70
Simonetti, D. , Koopman, H. F. J. M. , & Sartori, M. (2022). Smart wearable garment and rapid musculoskeletal modelling for accurate neuromechanical analysis: Smart wearable garment and rapid musculoskeletal modelling for accurate neuromechanical analysis. In D. Torricelli, M. Akay, & J. L. Pons (Eds.), Converging Clinical and Engineering Research on Neurorehabilitation: Proceedings of the 5th International Conference on NeuroRehabilitation(ICNR2020), October 13-16,2020 (pp. 121-125). (Biosystems & biorobotics; Vol. 28). https://doi.org/10.1007/978-3-030-70316-5_20
Cop, C. P. , Schouten, A. C. , Koopman, B. F. J. M. , & Sartori, M. (2022). A Muscle Model Incorporating Fiber Architecture Features for the Estimation of Joint Stiffness During Dynamic Movement. In D. Torricelli, M. Akay, & J. L. Pons (Eds.), Converging Clinical and Engineering Research on Neurorehabilitation IV: Proceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13–16, 2020 (pp. 507-511). (Biosystems and Biorobotics; Vol. 28). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-70316-5_81
Cavallo, G. , Cop, C. P. , Sartori, M. , Schouten, A. C., & Lataire, J. (2022). Identification of Time-Varying Ankle Joint Impedance During Periodic Torque Experiments Using Kernel-Based Regression. In D. Torricelli, M. Akay, & J. L. Pons (Eds.), Converging Clinical and Engineering Research on Neurorehabilitation IV: Proceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13–16, 2020 (pp. 495-499). (Biosystems and Biorobotics; Vol. 28). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-70316-5_79
Ranavolo, A., Chini, G., Draicchio, F., Silvetti, A., Varrecchia, T., Fiori, L., Tatarelli, A., Rosen, P. H., Wischniewski, S., Albrecht, P., Vogt, L., Bianchi, M., Averta, G., Cherubini, A., Fritzsche, L. , Sartori, M., Vanderborght, B., Govaerts, R., & Ajoudani, A. (2022). Human-Robot Collaboration (HRC) Technologies for Reducing Work-Related Musculoskeletal Diseases in Industry 4.0. In N. L. Black, W. P. Neumann, & I. Noy (Eds.), Proceedings of the 21st Congress of the International Ergonomics Association, IEA 2021: Methods and Approaches (pp. 335-342). (Lecture Notes in Networks and Systems; Vol. 223 LNNS). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-74614-8_40
Gonzalez-Vargas, J. , Sartori, M., Dosen, S. , van der Kooij, H. , & Rietman, J. (2022). SimBionics: Neuromechanical Simulation and Sensory Feedback for the Control of Bionic Legs. 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. 269-273). (Biosystems and Biorobotics; Vol. 27). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-69547-7_44

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 W106
De Horst 2
7522LW  Enschede

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Postadres

Universiteit Twente
Faculty of Engineering Technology
Horst Complex  W106
Postbus 217
7500 AE Enschede

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