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
# Chemical Activation
# Electromyography
# Exoskeleton (Robotics)
# Muscle
# Patient Rehabilitation
# Robotics
Medicine & Life Sciences
# Electromyography
# Muscles
Verbonden aan
Nevenactiviteiten
-
IEEE
Associate Editor at the IEEE Transactions of Neural System and Rehabilitation Engineering
Publicaties
Recent
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
Cop, C. P., Cavallo, G.
, Veld, R. C. V. .
, Koopman, B. F. J. M., Lataire, J.
, Schouten, A.
, & Sartori, M. (2021).
Unifying system identification and biomechanical formulations for the estimation of muscle, tendon and joint stiffness during human movement.
Progress in Biomedical Engineering,
3(3), [033002].
https://doi.org/10.1088/2516-1091/ac12c4
Sartori, M., & Sawicki, G. (2021).
Closing the loop between wearable technology and human biology: A new paradigm for steering neuromuscular form and function.
Progress in Biomedical Engineering,
3(2), [023001].
https://doi.org/10.1088/2516-1091/abe3e0
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
Durandau, G.
, Rampeltshammer, W. F.
, Van Der Kooij, H.
, & Sartori, M. (2020).
Myoelectric model-based control of a bi-lateral robotic ankle exoskeleton during even ground locomotion ∗. In
2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020 (pp. 822-826). [9224365] (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/BioRob49111.2020.9224365
Pure Link
Google Scholar Link
Verbonden aan Opleidingen
Master
Vakken Collegejaar 2021/2022
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.
Vakken Collegejaar 2020/2021
Current Projects
Finished Projects
Tweets
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Engineering Technology
Horst Complex
(gebouwnr. 20), kamer W106
De Horst 2
7522LW Enschede
Postadres
Universiteit Twente
Faculty of Engineering Technology
Horst Complex
W106
Postbus 217
7500 AE Enschede
Werkdagen
Week | Maandag | Dinsdag | Woensdag | Donderdag | Vrijdag |
Even | |||||
Oneven |