Design of SEMG Recognition System

Jing Jin Xie; Lei Zuo

doi:10.4028/www.scientific.net/AMR.403-408.4194

Paper Titles

Electro-Optic Tuneable of Direct Current Voltage in Ring Resonator
p.4174

Design & Modeling of 6-Bit Low Loss Ka Band Distributed MEMS Phase Shifter on GaAs
p.4179

An Error Analysis on Images Using Skeletonization Methods
p.4184

An Adaptive Protection Method for Power System under Wide Area Networks
p.4189

Design of SEMG Recognition System
p.4194

Design and Simulation a Low Voltage Actuated RF MEMS Switch with Improve RF Characteristics
p.4199

A CMOS MEMS Resonant Magnetic Field Sensor with Differential Electrostatic Actuation and Capacitive Sensing
p.4205

Flood Submergence Processes Simulation Based on Virtual Reality
p.4210

Optimization Design and Motion Simulation of Offset Slider-Crank Mechanism
p.4216

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408Design of SEMG Recognition System

Design of SEMG Recognition System

Abstract:

Surface electromyography (sEMG) is recorded from the surface of skeleton muscle by electrodes, it is the bioelectricity discharged by neuromuscular activities. This paper designed a data acquisition platform of sEMG, which contains hardware module and software module. The hardware contains electrodes, microcomputer, power and filters. The software contains data reading and storage, signal filter, timer and graphics user interface. It shows the system is workable with stable performance.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

4194-4198

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.4194

Citation:

Cite this paper

Online since:

November 2011

Authors:

Jing Jin Xie, Lei Zuo

Keywords:

Recognition System, SEMG, Surface Electromyography

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Kamen, Gary. Electromyographic Kinesiology. In Robertson, DGE et al. Research Methods in Biomechanics. Champaign, IL: Human Kinetics Publ., (2004).

Google Scholar

[2] Nigg B.M., & Herzog W., 1999. Biomechanics of the Musculo-Skeletal system. Wiley. Page.

Google Scholar

[3] Jasmin Blanchette, Mark Summerfield. C++ GUI Programming with Qt 4 [M]. USA: Prentice Hall, (2006).

Google Scholar