Hardware Implementation of Fourier Transform for Real Time EMG Signals Recognition

  • Andrzej R. WolczowskiEmail author
  • Przemyslaw M. Szecówka
  • Jacek Góra
  • Marek Kurzynski
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 226)


Electromyography signals (EMG) are small changes of voltage which appear on the surface of a human skin as a side effect of muscles activity. These signals may be successfully used for recognition of human intention regarding the control of hand prosthesis. Such control requires quick analysis of EMG signals. One of important stages of the recognition process is the extraction of signal features. Fourier transform method is commonly used for that purpose. It assures high quality of recognition process, but its calculation is time-consuming. This study shows the construction of the experimental system of EMG signal acquisition and analysis with FFT method implemented in dedicated digital hardware. The developed architecture provides both high processing speed and small size (providing portability). Fast implementation of FFT (256-point spectrum in 3 us), competitive to signal processors, was obtained using FPGA technology.


Fast Fourier Transform Field Programmable Gate Array Hardware Implementation Fast Fourier Transform Algorithm Fast Fourier Transform Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Andrzej R. Wolczowski
    • 1
    Email author
  • Przemyslaw M. Szecówka
    • 2
  • Jacek Góra
    • 2
    • 3
  • Marek Kurzynski
    • 1
  1. 1.Faculty of ElectronicsWrocław University of TechnologyWrocławPoland
  2. 2.Faculty of Microsystem Electronics and PhotonicsWrocław University of TechnologyWrocławPoland
  3. 3.Nokia Siemens NetworksWrocławPoland

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