Sara Pizzamiglio
| Name | Sara Pizzamiglio |
|---|---|
| Email address | S.Pizzamiglio@uel.ac.uk |
Research outputs
Motor adaptation and internal model formation in a robot-mediated forcefield
Taga, M., Curci, A., Pizzamiglio, S., Lacal, I., Turner, D. and Fu, C. 2021. Motor adaptation and internal model formation in a robot-mediated forcefield. Psychoradiology. 1 (2), p. 73–87. https://doi.org/10.1093/psyrad/kkab007Advanced technology for gait rehabilitation --- An overview
Mikolajczyk, Tadeusz, Ciobanu, Ileana, Badea, Joana, Iliescu, Alina, Pizzamiglio, S., Schauer, Thomas, See, Thomas, Seicu, Lucien, Turner, D. and Berteanu, Mihai 2018. Advanced technology for gait rehabilitation --- An overview. Advances in Mechanical Engineering. 10 (7), pp. 1-19. https://doi.org/10.1177/1687814018783627Resting-state functional connectivity predicts the ability to adapt to robot-mediated force fields
Faiman, Irene, Pizzamiglio, S. and Turner, D. 2018. Resting-state functional connectivity predicts the ability to adapt to robot-mediated force fields. NeuroImage. 174, pp. 494-503. https://doi.org/10.1016/j.neuroimage.2018.03.054Neural Predictors of Gait Stability When Walking Freely in the Real-World.
Pizzamiglio, S., Abdalla, H., Naeem, U. and Turner, D. 2018. Neural Predictors of Gait Stability When Walking Freely in the Real-World. Journal of NeuroEngineering and Rehabilitation. 15 (11). https://doi.org/10.1186/s12984-018-0357-zA Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing
Pizzamiglio, S., Naeem, U., ur Réhman, Shafiq, Sharif, M., Abdalla, H. and Turner, D. 2017. A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing. Procedia Computer Science. 113, pp. 89-96. https://doi.org/10.1016/j.procs.2017.08.297765
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