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

Full Professor and Chair of Neuromuscular Robotics
ET-BE-NE
Horst Complex W111
m.sartori@utwente.nl
+31534891441
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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

  • Computer Science

    • Models
    • Control
    • Robotics

  • Medicine and Dentistry

    • Muscle
    • Electromyography
    • Joint
    • Exoskeleton

  • Engineering

    • Joints (Structural Components)

Organisaties

Publicaties

2024
Alpha to Tau: Mapping the Neuromechanical Continuum from α-Motor Neuron Firing Behavior to Joint Torque. University of Twente. Gogeascoechea, A.https://doi.org/10.3990/1.9789036561853Electromyography-driven musculoskeletal models with time-varying fatigue dynamics improve lumbosacral joint moments during lifting, Article 111987. Mohamed Refai, M. I., Moya-Esteban, A. & Sartori, M.https://doi.org/10.1016/j.jbiomech.2024.111987Toward a wearable gait lab for the quantitative assessment of musculoskeletal function. University of Twente. Simonetti, D.https://doi.org/10.3990/1.9789036558853Benchmarking commercially available soft and rigid passive back exoskeletons for an industrial workplace, Article e6. Mohamed Refai, M. I., Moya-Esteban, A., van Zijl, L., van der Kooij, H. & Sartori, M.https://doi.org/10.1017/wtc.2024.2Editorial: Job integration/reintegration of people with neuromuscular disorders in the epoch of “industry 4.0”, Article 1371430. Ranavolo, A., Ajoudani, A., Bonnet, V., De Nunzio, A. M., Draicchio, F., Sartori, M. & Serrao, M.https://doi.org/10.3389/fneur.2024.1371430Editorial: Rehabilitation robotics: challenges in design, control, and real applications, volume II, Article 1437717. Romero-Sánchez, F., Menegaldo, L. L., Font-Llagunes, J. M. & Sartori, M.https://doi.org/10.3389/fnbot.2024.1437717
2023
Estimating Biological Stiffness Without Relying on External Joint Perturbations: A Musculoskeletal Modeling Framework. University of Twente. Cop, C. P.https://doi.org/10.3990/1.9789036558426Towards the adoption of wearable exoskeletons in occupational workspaces: model-based assessment and control of back-support exoskeletons. University of Twente. Moya Esteban, A.https://doi.org/10.3990/1.9789036558389Trunk extensor muscle endurance and its relationship to action potential conduction velocity and spectral parameters estimated using high-density electromyography, Article 102830. Brouwer, N. P., Tabasi, A., Kingma, I., Stegeman, D. F., van Dijk, W., Moya-Esteban, A., Sartori, M. & van Dieën, J. H.https://doi.org/10.1016/j.jelekin.2023.102830A Neuromechanical Model-Based Strategy to Estimate the Operator’s Payload in Industrial Lifting Tasks, 4644-4652. Feola, E., Refai, M. I., Costanzi, D., Sartori, M. & Calanca, A.https://doi.org/10.1109/TNSRE.2023.3334993Subject-Specific and COM Acceleration-Enhanced Reflex Neuromuscular Model to Predict Ankle Responses in Perturbed GaitIn 2023 International Conference on Rehabilitation Robotics (ICORR). Avanci Gaudio, L., González-Vargas, J., Sartori, M. & van der Kooij, H.https://doi.org/10.1109/ICORR58425.2023.10304748Synergy-Driven Musculoskeletal Modeling to Estimate Muscle Excitations and Joint Moments at Different Walking Speeds in Individuals with Transtibial AmputationIn 2023 International Conference on Rehabilitation Robotics, ICORR 2023. IEEE. Damonte, F., Durandau, G., Gonzalez-Vargas, J., Van Der Kooij, H. & Sartori, M.https://doi.org/10.1109/ICORR58425.2023.10304814Adaptive Assistance With An Active And Soft Back-Support Exosuit To Unknown External Loads Via Model-Based Estimates Of Internal Lumbosacral Moments. ArXiv.org. Moya-Esteban, A., Sridar, S., Mohamed Refai, M. I., van der Kooij, H. & Sartori, M.https://doi.org/10.48550/arXiv.2311.01843The Simultaneous Model-Based Estimation of Joint, Muscle, and Tendon Stiffness is Highly Sensitive to the Tendon Force-Strain Relationship, 1-11. Cop, C. P., Jakubowski, K. L., Schouten, A. C., Koopman, B., Perreault, E. J. & Sartori, M.https://doi.org/10.1109/TBME.2023.3324485Tapping into skeletal muscle biomechanics for design and control of lower-limb exoskeletons: A narrative review, 318-333. Mahdian, Z. S., Wang, H., Refai, M. I., Durandau, G. V., Sartori, M. & MacLean, R.https://doi.org/10.1123/jab.2023-0046Automated spatial localization of ankle muscle sites and model-based estimation of joint torque post-stroke via a wearable sensorised leg garment, Article 102808. Simonetti, D., Hendriks, M., Herijgers , J., Cuerdo del Rio, C., Koopman, H. F. J. M., Keijsers, N. & Sartori, M.https://doi.org/10.1016/j.jelekin.2023.102808Predictive Control of Peak Achilles Tendon Force in a Simulated System of the Human Ankle Joint with a Parallel Artificial Actuator during HoppingIn IEEE International Conference on Rehabilitation Robotics 2023. IEEE. Nabipour, M., Sawicki, G. & Sartori, M.https://doi.org/10.1109/ICORR58425.2023.10304771Advancing Wearable Robotics for Shaping the Human Musculoskeletal System [Young Professionals], 164-165. Sartori, M.https://doi.org/10.1109/MRA.2023.3293338Human Modeling in Physical Human-Robot Interaction: A Brief Survey, 5799-5806. Fang, C., Peternel, L., Seth, A., Sartori, M., Mombaur, K. & Yoshida, E.https://doi.org/10.1109/LRA.2023.3296349Real-time lumbosacral joint loading estimation in exoskeleton-assisted lifting conditions via electromyography-driven musculoskeletal models, Article 111727. Moya-Esteban, A., Durandau, G., van der Kooij, H. & Sartori, M.https://doi.org/10.1016/j.jbiomech.2023.111727

Onderzoeksprofielen

Lopende projecten

ROBOREACTOR: Robotic bioreactors for the longitudinal control of restorative remodelling in the human skeletal muscle

SMARTSENS

ERC Proof of Concept Grant: Smart wear for sensing the neuromusculoskeletal system during human movement in vivo

Neurological injuries such as stroke or spinal cord injury, leave 5 million people disabled worldwide annually, drastically impairing individuals' ability to move independently. The main element hampering efficacy of current neuro-rehabilitation procedures is the inability of sensing the activity of neural cells involved in the control of movement, along with the movement-generating mechanical force produced by innervated muscle-tendon units, in the intact moving human in vivo. Current technologies for sensing the neuromusculoskeletal system rely on expensive, large, and bulky sensing devices that can only be used in the highly controlled settings of research laboratories. Therefore, a wearable, rapid-to-wear system that could track function in a person’s motor neuron activity along with associated function in muscle, tendon and joint function would revolutionise current neuro-rehabilitation paradigms. SMARTSENS proposes a fully wearable, non-invasive solution to monitor a range of clinically relevant neuromuscular parameters, which currently could only be extracted in constrained laboratory settings via lengthy procedures. SMARTSENS enables measuring such information during daily life activities using a sensorised smart wear that is unobstructive and rapid to wear. This will enable continuous monitoring of the human neuromusculoskeletal system, which will disrupt current movement-measuring and diagnostic systems, by enabling causal understanding of the activity of neural and musculoskeletal structures in vivo at a resolution not considered before.

INTERACT: Modelling the neuromusculoskeletal system across spatiotemporal scales for a new paradigm of humanmachine motor interaction

INTERACT

Ieder jaar worden er miljoenen mensen door neurologisch letsel zoals een beroerte of ruggenmergletsel uitgeschakeld. Voor deze personen is herstel nog niet optimaal. De impact van de neurorevalidatiemachines van vandaag de dag wordt belemmerd door een beperkte kennis van hun fysieke interactie met het menselijk lichaam. Motorisch herstel kan alleen worden bereikt als positieve neuromusculaire aanpassingen gedurende een langere tijd worden gestuurd. Als we dergelijke aanpassing zouden kunnen voorspellen en beheersen om in de toekomst een positieve verandering teweeg te brengen, zou een nieuw tijdperk in revalidatie-robotica beginnen. INTERACT zal deze uitdaging aangaan door elektrische stimulatie van het ruggenmerg en de robot- exoskeletten te combineren met een nieuwe klasse van voorspellende multischaal modellen van het neuromusculaire systeem. Hierdoor kunnen robots autonoom de elektro-mechanische stimuli ontdekken die nodig zijn om de motorische functie in de loop van de tijd te herstellen. INTERACT zal fundamentele vragen over bewegingsneuromechanica via nieuwe beginselen van interactie tussen mens en machine beantwoorden, en heeft hiermee een brede impact op bio-engineering en robotica.

S.W.A.G.: Soft wearable assistive garments for human empowerment

Horizon Europe (CL4-Digital Emerging): Soft wearable assistive garments for human empowerment

Soft robotics has become one of the fastest growing fields over the last decade, and the development of technologies related to the associated modelling, sensing, actuation and control challenges has flourished as part of the field’s impetus. Soft robots have been demonstrated in diverse applications such as wearable devices, mobile or locomotive robots, as well as soft manipulators. Soft lower extremity exoskeletons ( “soft wearable robotics (SWRs)) are one of the most challenging research topics, and require multidisciplinary approaches involving diverse fields such as neuroscience, biomechanics, robot control, ergonomics and other fields. SWAG aims to explore a fundamentally new approach to engineering soft structures that omit fully rigid materials for inflatable ones made from high-strength fabrics and films when manufacturing human-assistive exoskeletal devices that target strainprone segments of the human body (i.e. lower body and core). Such soft wearable adaptive garments with actuation capabilities offer higher variable stiffness and force-to-weight ratios compared to other existing methods, and simultaneously entirely conform to each joint’s intricate kinematics. Because of this, new design approaches can be used as building blocks to realise complete assistance for multi-degree-of-freedom joints, such as the ankle or hip, by adapting flexible and conforming motions achieved by continuum robot designs. SWAG’s advances will demonstrated in 4 different application scenarios. The project brings together 13 partners from 5 EU countries and the UK. The partners consist of an interdisciplinary combination of leading academics with very strong track records in their respective fields. They are supported by RTOs with demonstrated capabilities of developing and validating application-driven solutions, as well as two commercial partners aiming to lead the exploitation of SWAG’s outcomes.

SimBionics

Neuromechanical Simulation and Sensory Feedback for the Control of Bionic Legs

Voltooide projecten

ExoAid: 'PERSPECTIEF' Programme in Wearable Robotics

https://www.wearablerobotics.nl

GUTS: Get under the skin

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

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

Intelligent Orthotics and Prosthetics for Enhanced Human-Machine Interaction (INOPRO)

https://foerderportal.bund.de/foekat/jsp/SucheAction.do?actionMode=view&fkz=13N14909

SOPHIA

Socio-physical Interaction Skills for Cooperative Human-Robot Systems in Agile Production

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