Browsing by Subject "Maximum voluntary contraction"
Now showing items 1-6 of 6
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Conference Object
Bispectral analysis of EMG at different levels of force
(Publ by IEEE, 1993)Bispectral analysis suggests that EMG is highly non-Gaussian at force level (FL) = 10% of maximum voluntary contraction
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Conference Object
Bispectral analysis of surface EMG
(IEEE, 2000)The objective of this ongoing study is to investigate whether or not Bispectral analysis (BS), a particular form of higher order spectra (HOS), may be utilized for analyzing the surface electromyographic signal (SEMG). The ...
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Conference Object
Classification of surface electromyographic signals using AM-FM features
(2009)The objective of this study was to evaluate the usefulness of AM-FM features extracted from surface electro myographic (SEMG) signals for the assessment of neuromuscular disorders at different force levels. SEMG signals ...
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Conference Object
Comparison of AM-FM features with standard features for the classification of surface electromyographic signals
(2010)In this work AM-FM features extracted from surface electromyographic (SEMG) signals were compared with standard time and frequency domain features, for the classification of neuromuscular disorders at different force levels. ...
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Conference Object
Influence of isometric voluntary contraction on time and frequency domain parameters of surface EMG
(2002)The main objective of this paper was to investigate the effect of increase of isometric voluntary contraction (IVC) on surface EMG recorded from the Biceps Brachii (BB) muscle. Five different force levels (FL) were used: ...
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Article
Multi-scale AM-FM analysis for the classification of surface electromyographic signals
(2012)In this work, multi-scale amplitude modulation-frequency modulation (AM-FM) features are extracted from surface electromyographic (SEMG) signals and they are used for the classification of neuromuscular disorders. The ...