Guest Editorial

Kianoush Nazarpour, Christian Cipriani, Dario Farina, Todd Kuiken

Research output: Contribution to journalEditorialpeer-review

Abstract / Description of output

The twelve papers in this special section are focused on recent 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.
Original languageEnglish
Pages (from-to)711-715
Number of pages5
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Issue number4
Publication statusPublished - 8 Jul 2014


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