Hybrid soft computing systems for electromyographic signals analysis: a review
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A Review of Classification Techniques of EMG Signals during Isotonic and Isometric ContractionsHybrid Brain-Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A ReviewAn EMG-based feature extraction method using a normalized weight vertical visibility algorithm for myopathy and neuropathy detection.A novel approach for SEMG signal classification with adaptive local binary patterns.Analysis of concentric and eccentric contractions in biceps brachii muscles using surface electromyography signals and multifractal analysis.
P2860
Hybrid soft computing systems for electromyographic signals analysis: a review
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2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած
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2014 թվականի փետրվարին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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Hybrid soft computing systems for electromyographic signals analysis: a review
@ast
Hybrid soft computing systems for electromyographic signals analysis: a review
@en
Hybrid soft computing systems for electromyographic signals analysis: a review
@nl
type
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Hybrid soft computing systems for electromyographic signals analysis: a review
@ast
Hybrid soft computing systems for electromyographic signals analysis: a review
@en
Hybrid soft computing systems for electromyographic signals analysis: a review
@nl
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Hybrid soft computing systems for electromyographic signals analysis: a review
@ast
Hybrid soft computing systems for electromyographic signals analysis: a review
@en
Hybrid soft computing systems for electromyographic signals analysis: a review
@nl
P2860
P356
P1476
Hybrid soft computing systems for electromyographic signals analysis: a review
@en
P2093
Hong-Bo Xie
Socrates Dokos
P2860
P2888
P356
10.1186/1475-925X-13-8
P407
P577
2014-02-03T00:00:00Z
P6179
1002736714