EMG Detection System and Design

Bing Li

doi:10.4028/www.scientific.net/AMR.488-489.1011

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 488-489EMG Detection System and Design

EMG Detection System and Design

Abstract:

SEMG detection system is of great significance in clinical diagnosis, rehabilitation engineering, sports medicine and the bionic man-machine systems as a noninvasive detection method. EMG detection system mainly researches and designs for the SEMG signal acquisition, conditioning and treatment. The system which is composed of SEMG signal acquisition module, the system processing module and stimulator module has the function of detection spontaneous and evoking EMG, and processing and analyzing the extracted eigenvalue by using the methods of time domain analysis and frequency domain analysis. This paper designs the ARM core detection system, and processes the collected signal by combing analog filters and digital filters in order to achieve suppression of noise and interference, so as to obtain the effective SEMG. ARM processor reduces power consumption and improves the system performance and reliability. The results of experiments show that the system can extract the spontaneous EMG of the effective range, has the function of detection evoked EMG.

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Periodical:

Advanced Materials Research (Volumes 488-489)

Pages:

1011-1015

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.488-489.1011

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Online since:

March 2012

Authors:

Bing Li

Keywords:

ARM System, EMG Detection, SEMG, Signal Processing

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References

[1] Peter Konard. The ABC of EMC[M]. www. noraxon. com. (2005).

Google Scholar

[2] Ll Yang．Research on Gesture based Human Computer Interaction．Journal of System Simulation．2000，1 2(5)：528·533.

Google Scholar

[3] Mohammadreza Asghari Oskoei，Huosheng Hu。Myoelectric control systems—Asurvey. Biomedical Signal Processing and Control Volume 2，Issue 4，October 2007，Pages 275—294.

DOI: 10.1016/j.bspc.2007.07.009

Google Scholar

[4] K．Englehart and B．Hudgins，A robust，real—time control scheme for multifunction myoelectric control．IEEE Trans．Biomed Eng．50(7)(2003)，PP．848—854.

DOI: 10.1109/tbme.2003.813539

Google Scholar

[5] Osamah A．Alsayegh．EMG—based Human—Machine Interface System[J]．IEEE／Multimedia and Expo(S7803—6536)．2000，2(30)：925—928.

Google Scholar