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
Link To Document :
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