Stanisa Raspopovic

TL;DR: By stimulating the median and ulnar nerve fascicles using transversal multichannel intrafascicular electrodes, according to the information provided by the artificial sensors from a hand prosthesis, physiologically appropriate sensory information can be provided to an amputee during the real-time decoding of different grasping tasks to control a dexterous hand prosthetic.

TL;DR: This study represents a breakthrough in robotic hand use in amputees and assesses a novel peripheral intraneural multielectrode for multi-movement prosthesis control and for sensory feed-back, while assessing cortical reorganization following the re-acquired stream of data.

TL;DR: This review presents and discusses the recent results achieved by using electromyographic signals, recorded either with surface (sEMG) or intramuscular (i EMG) electrodes, and electroneurographic (ENG) signals.

TL;DR: A computational model and in vivo experiments were designed and performed to investigate the type of fibers, neurons, and circuits recruited in response to EES to provide a mechanistic framework for the design of spinal neuroprosthetic systems to improve standing and walking after neurological disorders.

TL;DR: It is shown that texture discrimination can be artificially provided in human subjects by implementing a neuromorphic real-time mechano-neuro-transduction (MNT) process, which emulates to some extent the firing dynamics of SA1 cutaneous afferents.