• 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