@conference {3728, title = {Heart rate variability analysis during muscle fatigue due to prolonged isometric contraction}, booktitle = {Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS}, year = {2017}, doi = {10.1109/EMBC.2017.8037076}, author = {A. Guidi and A. Greco and F. Felici and A. Leo and E. Ricciardi and M. Bianchi and A. Bicchi and G. Valenza and E. P. Scilingo} } @conference {3727, title = {Muscle fatigue assessment through electrodermal activity analysis during isometric contraction}, booktitle = {Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS}, year = {2017}, doi = {10.1109/EMBC.2017.8036846}, author = {A. Greco and A. Guidi and F. Felici and A. Leo and E. Ricciardi and M. Bianchi and A. Bicchi and L. Citi and G. Valenza and E. P. Scilingo} } @article {2660, title = {A synergy-based hand control is encoded in human motor cortical areas}, journal = {eLIFE}, year = {2016}, abstract = {

How the human brain controls hand movements to carry out different tasks is still debated. The concept of\ synergy\ has been proposed to indicate functional modules that may simplify the control of hand postures by simultaneously recruiting sets of muscles and joints. However, whether and to what extent synergic hand postures are encoded as such at a cortical level remains unknown. Here, we combined kinematic, electromyography, and brain activity measures obtained by functional magnetic resonance imaging while subjects performed a variety of movements towards virtual objects. Hand postural information, encoded through kinematic synergies, were represented in cortical areas devoted to hand motor control and successfully discriminated individual grasping movements, significantly outperforming alternative somatotopic or muscle-based models. Importantly, hand postural synergies were predicted by neural activation patterns within primary motor cortex. These findings support a novel cortical organization for hand movement control and open potential applications for brain-computer interfaces and neuroprostheses.

}, doi = {http://dx.doi.org/10.7554/eLife.13420}, url = {http://elifesciences.org/content/5/e13420v2}, author = {A. Leo and G. Handjaras and M. Bianchi and H. Marino and M Gabiccini and Guidi, A. and E. P. Scilingo and P. Pietrini and A. Bicchi and M. Santello and E. Ricciardi} } @conference {1940, title = {Neural correlates of haptic pop-out of shape discrimination in the human brain}, booktitle = {19th Annual Meeting of the Organization for Human Brain Mapping}, year = {2013}, address = {Seattle, USA, June2013}, author = {A. Leo and M. Feurra and S. Rossi and A. Kappers and A. Bicchi and D Prattichizzo and Cristea, I. and David, D. and P. Pietrini and E. Ricciardi} }