DocumentCode :
80785
Title :
Guest Editorial
Author :
Nazarpour, Kianoush ; Cipriani, Christian ; Farina, Dario ; Kuiken, Todd
Author_Institution :
School of Electrical and Electronic Engineering and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, U.K.
Volume :
22
Issue :
4
fYear :
2014
fDate :
Jul-14
Firstpage :
711
Lastpage :
715
Abstract :
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.
Keywords :
Electromyography; Feature extraction; Legged locomotion; Muscles; Neurophysiology; Patient rehabilitation; Pattern recognition; Prosthetics; Robot sensing systems; Special issues and sections; Surface treatment;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2014.2330451
Filename :
6848877
Link To Document :
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