A Design Method for IIR and FIR Digital Notch Filter Used to sEMG

Article Preview

Abstract:

Surface electromyography (sEMG) signals, a non-invasive bioelectric signal, can be used for the rehabilitation and control of artificial extremities. But this signal is so weak that the electrical voltages ranging from -5 to +5 mv. In order to eliminate the 50Hz noise included in sEMG and hold details of the signal, IIR50HZ notch filter and FIR 50Hz notch filter are design. The compared simulation results show that the application of FIR 50Hz is better than IIR 50Hz in sEMG patter recognition system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

184-187

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] R. Constable and R. J. Thornbill, in: Using the Discrete Wavelet Transform for Time-Frequency Analysis of the Surface EMG Signal, ISA(1993).

Google Scholar

[2] J. Kilby and H. Gholam Hosseini, in: Wavelet Analysis of Surface Electromyography Signals. Proceedings of the 26th Annual International Conference of the IEEE EMBS, USA, (2004).

DOI: 10.1109/iembs.2004.1403174

Google Scholar

[3] G.Fang, X.H. Ren, Y.G.He and T.W. Wang, edtied by Techniques of Automation and Applications(2010) in Chinese.

Google Scholar

[4] X.J. Wang and D.H.Gu, edtied by Automation and Instrumentation(2008) in Chinese.

Google Scholar

[5] N.T. Wang, Y.L. Qian, Y.Li, ect, edtied by Chinese Journal of Scientific Instrument (2012) in Chinese.

Google Scholar

[6] Y.J.Wu, edtied by Communications Technology (2012) in Chinese.

Google Scholar

[7] F.Li, Y.C. Zeng, C.Q.An and Y.X.Yu, edtied by Journal of Computer Applications (2011) in Chinese.

Google Scholar

[8] Y.Q. Tang, Y.Fang and Q.H. Huang, edtied by Signal Processing(2011) in Chinese.

Google Scholar