Christian Cipriani

TL;DR: Benefits of using audio-augmented feedback for improving internal model strength of myoelectric controllers extend beyond a virtual target acquisition task to include control of a prosthetic hand.

TL;DR: This study compares the complex interactions between two different feedback types, as well as a combination of the two, on the internal model, and the functional performance of naïve participants without limb difference and shows that adding complementary audio biofeedback to visual feedback enables the development of a significantly stronger internal model for controlling a myoelectric hand, but adding discrete vibrotactile feedback to vision does not.

TL;DR: This paper presents the preliminary design of a new dexterous upper-limb prosthesis provided with a novel anthropomorphic hand, a compact wrist based on bevel gears and a modular forearm able to cover different levels of upper- Limb amputations.

TL;DR: The final GF estimation from transient EMG was comparable to the one obtained using steady state data, confirming the hypothesis that the transient phase contains information about the final grasp force.

TL;DR: It is shown in simulated conditions that traditional pattern recognition systems do not allow the separation of the effects of the weight of the prosthesis because a surface recorded EMG pattern caused by the simple lifting or moving of the prostate prosthesis is misclassified into a hand control movement.