Abstract
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.
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CITATION STYLE
Nazarpour, K., Cipriani, C., Farina, D., & Kuiken, T. (2014). Guest editorial. IEEE Transactions on Neural Systems and Rehabilitation Engineering. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/TNSRE.2014.2330451
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