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

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.

Engineering & Materials Science

# Electromyography
# Exoskeleton (Robotics)
# Muscle
# Patient Rehabilitation
# Robotics

Medicine & Life Sciences

# Electromyography
# Joints
# Muscles

Faculty of Engineering Technology (ET), Neuromechanical Engineering (NE)

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

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

Cop, C. P. , Schouten, A. C. , Koopman, B. , & Sartori, M. (2022). Electromyography-driven model-based estimation of ankle torque and stiffness during dynamic joint rotations in perturbed and unperturbed conditions. Journal of biomechanics, 145, [111383]. https://doi.org/10.1016/j.jbiomech.2022.111383

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

Simonetti, D. , Koopman, B. , & Sartori, M. (2022). Automated estimation of ankle muscle EMG envelopes and resulting plantar-dorsi flexion torque from 64 garment-embedded electrodes uniformly distributed around the human leg. Journal of electromyography and kinesiology, 67, [102701]. https://doi.org/10.1016/j.jelekin.2022.102701

Moya-Esteban, A. , van der Kooij, H. , & Sartori, M. (2022). Robust estimation of lumbar joint forces in symmetric and asymmetric lifting tasks via large-scale electromyography-driven musculoskeletal models. Journal of biomechanics, 144, [111307]. https://doi.org/10.1016/j.jbiomech.2022.111307

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.

Durandau, G. , Rampeltshammer, W. F. , Kooij, H. V. D. , & Sartori, M. (2022). Neuromechanical Model-Based Adaptive Control of Bilateral Ankle Exoskeletons: Biological Joint Torque and Electromyogram Reduction Across Walking Conditions. IEEE transactions on robotics, 38(3), 1380-1394. https://doi.org/10.1109/TRO.2022.3170239

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

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Naar mijn profiel

Master

Biomedical Engineering

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.

Electromyography-driven musculoskeletal modelling for biomimetic myoelectric control of prostheses with variable stiffness actuators
H2R: Integrative Approach for the Emergence of Human-like Locomotion