DocumentCode
2813014
Title
Determining EMG embedding and fractal dimensions and its application
Author
Chen, Bin ; Wan, Ning
Author_Institution
Dept. of Electr. Eng., Ocean Univ. of Qingdao, China
Volume
2
fYear
2000
fDate
2000
Firstpage
1341
Abstract
An electromyogram (EMG) records a myoelectric signal sampled from the surface of skeletal muscles, a complex nonlinear system. In order to study its dynamics, analysis methods based on phase space reconstruction and fractal theory are discussed. The methods focus on determination of the embedding dimension and fractal dimension of EMG. It is shown that embedding and fractal dimensions reflect the human muscle´s potential in athletics. Furthermore, by comparison, we find that both dimensions seem to have consistent experimental results. It hints that this kind of analysis may be helpful in evaluation of athletes
Keywords
electromyography; fractals; medical signal processing; nonlinear dynamical systems; signal reconstruction; signal sampling; EMG embedding; athletics; complex nonlinear system; dynamics; electromyogram; embedding dimension; fractal dimensions; human muscle potential; myoelectric signal; phase space reconstruction; skeletal muscles; Data analysis; Electromyography; Fractals; Muscles; Nonlinear dynamical systems; Nonlinear systems; Oceans; Sea surface; State-space methods; Surface reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1094-687X
Print_ISBN
0-7803-6465-1
Type
conf
DOI
10.1109/IEMBS.2000.897986
Filename
897986
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