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

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

Medicine & Life Sciences

# Electromyography
# Muscles

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

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

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

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

Romanato, M., Volpe, D., Guiotto, A., Spolaor, F. , Sartori, M., & Sawacha, Z. (2022). Electromyography-informed modeling for estimating muscle activation and force alterations in Parkinson’s disease. Computer methods in biomechanics and biomedical engineering, 25(1), 14-26. https://doi.org/10.1080/10255842.2021.1925887

Durandau, G. , Rampeltshammer, W. , van der Kooij, H. , & Sartori, M. (2022). Neuromusculoskeletal Model-Based Controller for Voluntary and Continuous Assistance in a Broad Range of Locomotion Tasks. 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. 247-250). (Biosystems and Biorobotics; Vol. 27). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-69547-7_40

Simonetti, D. , Koopman, B. F. J. M. , & Sartori, M. (2021). Clusterization of multi-channel electromyograms into muscle-specific activations to drive a subject-specific musculoskeletal model: towards fast and accurate clinical decision-making. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 5979-5982) https://doi.org/10.1109/EMBC46164.2021.9631016

Hernandez, A. G. , Kobayashi, R. O. , Yavuz, U. S. , & Sartori, M. (2021). Identification of Motor Unit Twitch Properties in the Intact Human In Vivo. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 6310-6313) https://doi.org/10.1109/EMBC46164.2021.9630328

Kobayashi, R. O., Gogeascoechea, A. , Buitenweg, J. , Yavuz, U. , & Sartori, M. (2021). Optimization framework for the model-based estimation of in vivo α-motoneuron properties in the intact human. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (Vol. 2021, pp. 6126-6129) https://doi.org/10.1109/EMBC46164.2021.9630260

Koelewijn, A. D., Audu, M., del-Ama, A. J., Colucci, A., Font-Llagunes, J. M., Gogeascoechea, A., Hnat, S. K., Makowski, N., Moreno, J. C., Nandor, M., Quinn, R., Reichenbach, M., Reyes, R. D. , Sartori, M., Soekadar, S., Triolo, R. J., Vermehren, M., Wenger, C. , Yavuz, U. S., ... Beckerle, P. (2021). Adaptation Strategies for Personalized Gait Neuroprosthetics. Frontiers in neurorobotics, 15, [750519]. https://doi.org/10.3389/fnbot.2021.750519

Sartori, M. (2021). Modelling and Simulating Human Movement Neuromechanics. In Novel Bioinspired Actuator Designs for Robotics (pp. 13-20). (Studies in Computational Intelligence; Vol. 888). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-40886-2_2

Gizzi, L., Vujaklija, I. , Sartori, M., Röhrle, O., & Severini, G. (2021). Editorial: Somatosensory Integration in Human Movement: Perspectives for Neuromechanics, Modelling and Rehabilitation. Frontiers in bioengineering and biotechnology, 9, [725603]. https://doi.org/10.3389/fbioe.2021.725603

Bekijk alle publicaties van deze medewerker

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