Browsing by Subject "Force level"
Now showing items 1-2 of 2
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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. ...