Motor physiology and Biomechanics Laboratory

Motor physiology and Biomechanics Laboratory


Laboratory Head: Dr. Massimo Sartori

 

Laboratory activities

The activities in this lab exploit experimental-based approaches to measure neuromuscular functions during movement. The experimental data is then combined to computational approaches to gain insightful information on the neuromuscular mechanisms underlying movement both in healthy and patient populations. In this scenario, experimental investigations are carried on to observe the fine adjustments of human motor control -related to body kinematics and kinetics- in the completion of a wide repertoire of movement tasks, under conditions of neurological disorders or while interacting with robotic aids.  

The activities at MPBL merge classical biomechanical analysis (i.e. stereophotogrammetry, foot-ground reaction force measurement, inertial and magnetic segmental movement sensing, locomotion mediated by treadmill) with advanced techniques of electrophysiological data analysis (i.e. surface and invasive electromyography) and neuro-musculo-skeletal modeling. The fusion and the synergistic interaction of these different approaches allows extracting a wide and detailed insight on the human motor physiology and biomechanics.

 

Specific research activities at MPBL include

The modeling and the simulation of the dynamics of the muscular and the skeletal system as controlled by experimental measurements of the neural drive sent to muscles.

The investigation of modular control of movement in response to different motor tasks and demands (e.g. neural/neuromuscular disorders, experimentally induced pain, training and so on)

The design of real-time control strategies for powered orthoses control and the analysis of how human-orthosis interaction is modulated during dynamic locomotion tasks.

The prediction of muscle reaction strategies in subjects wearing powered orthoses.

 

Representative recent publications

Sartori M., Farina D., “Neural Data-driven Musculoskeletal Modeling for Neurorehabilitation Technologies”. IEEE Transactions on Biomedical Engineering. (2016).

Sartori M., Maculan M., Pizzolato C., Reggiani M., Farina D., “Modeling and simulating the neuromuscular mechanisms regulating ankle and knee joint stiffness during human locomotion”. Journal of Neurophysiology, DOI: 10.1152/jn.00989.2014 (2015).

*Schaffelhofer S., *Sartori M., Scherberger H., Farina D., “Musculoskeletal representation of a large repertoire of hand grasping actions in primates”. IEEE Transactions on Neural Systems and Rehabilitation, 23:2, 1-11 (2015)

Gonzalez-Vargas J.E., Sartori M., Dosen S., Torricelli D., Pons J.L., Farina D. “A predictive model of muscle excitations based on muscle modularity for a large repertoire of human locomotion conditions”. Front. Comput. Neurosci., DOI: 10.3389/fncom.2015.00114 (2015).

Sartori M., Farina D., Lloyd D.G., “Hybrid neuromusculoskeletal modeling to best track joint moments using a balance between muscle excitations derived from electromyograms and optimization”, Journal of Biomechanics, 47:15, 3613-3621 (2014)

Sartori M., Lloyd D.G., Besier T.F., Fernandez J.W., Farina D. (2015) “Electromyography-driven modeling for simulating subject-specific movement at the neuromusculoskeletal level”. In Surface Electromyography: physiology, engineering and applications. R. Merletti and D. Farina Eds. IEEE/Wiley. In Press.

Farina D. and Sartori M. (2015) “Applications in neurorehabilitation: EMG control of robots, prosthesis and paralized muscles”. In Surface Electromyography: physiology, engineering and applications. R. Merletti and D. Farina Eds. IEEE/Wiley. In Press.

Lluch E, Schomacher J, Gizzi L, Petzke F, Seegar D, Falla D. Immediate effects of active cranio-cervical flexion exercise versus passive mobilisation of the upper cervical spine on pain and performance on the cranio-cervical flexion test. Man Ther. 2013 Jun 24

Sartori M, Reggiani M, Farina D, Lloyd DG. EMG-driven forward-dynamic estimation of muscle force and joint moment about multiple degrees of freedom in the human lower extremity. PLoS ONE. 2012;7(12)

Gizzi L, Feldbaek JN, Felici F, Moreno JC, Pons JL, Farina D. Motor modules in robot-aided walking.  J Neuroeng Rehabil. 2012 Oct 8;9(1):76.

Sartori M, Reggiani M, Lloyd DG, Pagello E. Modeling the Human Knee for Assistive Technologies. IEEE Transactions on Biomedical Engineering. 2012.

M. Sartori, M. Reggiani, T. VD. Bogert, DG. Lloyd. Estimation of musculotendon kinematics in large musculoskeletal models using multidimensional B-Splines. Journal of Biomechanics. 2012.

Gizzi L, Nielsen JF, Felici F, Ivanenko YP, Farina D. Impulses of activation but not motor modules are preserved in the locomotion of subacute stroke patients. J Neurophysiol. 2011 Jul;106(1):202-10.

Oliveira AS, Silva PB, Lund ME, Kersting UG, Farina D. Fast changes in direction during human locomotion are executed by impulsive activation of motor modules. Neuroscience. 2012 Oct 22;228C:283-293.

 

 

 

 

 

 

 


In LABORATORIES>Motor physiology and Biomechanics Laboratory:

 

2) please find below recent publications to be added to the website:

- Sartori M., Farina D., “Neural Data-driven Musculoskeletal Modeling for Neurorehabilitation Technologies”. IEEE Transactions on Biomedical Engineering. (2016).

- Sartori M., Maculan M., Pizzolato C., Reggiani M., Farina D., “Modeling and simulating the neuromuscular mechanisms regulating ankle and knee joint stiffness during human locomotion”. Journal of Neurophysiology, DOI: 10.1152/jn.00989.2014 (2015).

- *Schaffelhofer S., *Sartori M., Scherberger H., Farina D., “Musculoskeletal representation of a large repertoire of hand grasping actions in primates”. IEEE Transactions on Neural Systems and Rehabilitation, 23:2, 1-11 (2015)

- Gonzalez-Vargas J.E., Sartori M., Dosen S., Torricelli D., Pons J.L., Farina D. “A predictive model of muscle excitations based on muscle modularity for a large repertoire of human locomotion conditions”. Front. Comput. Neurosci., DOI: 10.3389/fncom.2015.00114 (2015).

- Sartori M., Farina D., Lloyd D.G., “Hybrid neuromusculoskeletal modeling to best track joint moments using a balance between muscle excitations derived from electromyograms and optimization”, Journal of Biomechanics, 47:15, 3613-3621 (2014)

- Sartori M., Lloyd D.G., Besier T.F., Fernandez J.W., Farina D. (2015) “Electromyography-driven modeling for simulating subject-specific movement at the neuromusculoskeletal level”. In Surface Electromyography: physiology, engineering and applications. R. Merletti and D. Farina Eds. IEEE/Wiley. In Press.

- Farina D. and Sartori M. (2015) “Applications in neurorehabilitation: EMG control of robots, prosthesis and paralized muscles”. In Surface Electromyography: physiology, engineering and applications. R. Merletti and D. Farina Eds. IEEE/Wiley. In Press.