• DocumentCode
    270719
  • Title

    A modular test platform for real-time measurement and analysis of EMG signals for improved prosthesis control

  • Author

    Borbély, Bence J. ; Kincses, Zoltan ; Vöröshazi, Zsolt ; Nagy, Zsolt ; Szolgay, Peter

  • Author_Institution
    Fac. of Inf. Technol. & Bionics, Pazmany Peter Catholic Univ., Budapest, Hungary
  • fYear
    2014
  • fDate
    29-31 July 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    A hardware platform for real-time measurement and analysis of human electromyographic signals (EMG) is proposed. The system is designed to have modular structure to facilitate further integration of various measurement, signal processing and actuator control tasks. To assess reachable system performance in the target application of EMG classification, two different classification methods are tested on the Xilinx Zynq-7000 All Programmable SoC using offline recorded multichannel lower arm muscle signals.
  • Keywords
    electromyography; field programmable gate arrays; medical signal processing; prosthetics; signal classification; EMG classification; EMG signal analysis; Xilinx Zynq7000 All Programmable SoC; actuator control tasks; hardware platform; human electromyographic signals; improved prosthesis control; modular structure; modular test platform; offline recorded multichannel lower arm muscle signals; reachable system performance; real-time measurement; signal processing; Algorithm design and analysis; Electrodes; Electromyography; Measurement units; Real-time systems; System-on-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
  • Conference_Location
    Notre Dame, IN
  • Type

    conf

  • DOI
    10.1109/CNNA.2014.6888643
  • Filename
    6888643
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=270719