The twelve papers in this special section is focused on ecent scientific and engineering developments in control of upper-limb prostheses, ranging from novel signal processing and machine learning strategies for enhancing and extracting movement intention-related features from the inter-muscular and surface electromyogram (EMG) signals to advanced surgical and experimental procedures for targeted muscle and sensory re-innervation. © 2001-2011 IEEE.
|Autori interni:||CIPRIANI, Christian|
|Data di pubblicazione:||2014|
|Rivista:||IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING|
|Appare nelle tipologie:||1.2 Recensione|