Abstract
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.
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Wolczowski, A.R., Szecówka, P.M., Góra, J., Kurzynski, M. (2013). Hardware Implementation of Fourier Transform for Real Time EMG Signals Recognition. In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, vol 226. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00969-8_77
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DOI: https://doi.org/10.1007/978-3-319-00969-8_77
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