@article {3697, title = {The SoftHand Pro: Functional evaluation of a novel, flexible, and robust myoelectric prosthesis}, journal = {PLOS One}, year = {2018}, author = {S. B. Godfrey and K. Zhao and A. Theuer and M. G. Catalano and M. Bianchi and R. Breighner and D. Bhaskaran and R. Lennon and G. Grioli and M. Santello and A. Bicchi and K. Andrews} } @conference {3747, title = {The softpro project: Synergy-based open-source technologies for prosthetics and rehabilitation}, booktitle = {International Symposium on Wearable Robotics}, year = {2018}, doi = {https://doi.org/10.1007/978-3-030-01887-0_71}, author = {C. Piazza and M. G. Catalano and M. Bianchi and E. Ricciardi and D. Pratichizzo and S. Haddadin and Luft, A. R. L. and O. Lambercy and R. Gassert and E. Jakubowitz and H. Van Der Kooij and F. Tonis and F. Bonomo and B. de Jonge and T. Ward and K. Zhao and M. Santello and A. Bicchi} } @inbook {2865, title = {The SoftHand Pro: Translation from Robotic Hand to Prosthetic Prototype}, booktitle = {Converging Clinical and Engineering Research on Neurorehabilitation II}, volume = {15}, number = {Biosystems \& Biorobotics }, year = {2016}, note = {

Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016), October 18-21, 2016, Segovia, Spain

}, pages = {469-473}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, abstract = {

This work presents the translation from a humanoid robotic hand to a prosthetic prototype and its first evaluation in a set of 9 persons with amputation. The Pisa/IIT SoftHand is an underactuated hand built on the neuroscientific principle of motor synergies enabling it to perform natural, human-like movements and mold around grasped objects with minimal control input. These features motivated the development of the SoftHand Pro, a prosthetic version of the SoftHand built to interface with a prosthetic socket. The results of the preliminary testing of the SoftHand Pro showed it to be a highly functional design with an intuitive control system. Present results warrant further testing to develop the SoftHand Pro.

}, keywords = {Haptics, Robotics}, issn = {978-3-319-46668-2}, doi = {10.1007/978-3-319-46669-9_78}, url = {http://link.springer.com/chapter/10.1007/978-3-319-46669-9_78}, author = {S. B. Godfrey and M. Bianchi and K. Zhao and M. G. Catalano and R. Breighner and A. Theuer and K. Andrews and G. Grioli and M. Santello and A. Bicchi} } @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} }