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Journal Abstract Search

640 related items for PubMed ID: 15376504

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  • 2. Optimized wavelets for blind separation of nonstationary surface myoelectric signals.
    Farina D, Lucas MF, Doncarli C.
    IEEE Trans Biomed Eng; 2008 Jan; 55(1):78-86. PubMed ID: 18232349
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  • 3. Influence of high motor unit synchronization levels on non-linear and spectral variables of the surface EMG.
    Fattorini L, Felici F, Filligoi GC, Traballesi M, Farina D.
    J Neurosci Methods; 2005 Apr 30; 143(2):133-9. PubMed ID: 15814145
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  • 4. A novel approach for estimating muscle fiber conduction velocity by spatial and temporal filtering of surface EMG signals.
    Farina D, Merletti R.
    IEEE Trans Biomed Eng; 2003 Dec 30; 50(12):1340-51. PubMed ID: 14656063
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  • 8. A fast and reliable technique for muscle activity detection from surface EMG signals.
    Merlo A, Farina D, Merletti R.
    IEEE Trans Biomed Eng; 2003 Mar 30; 50(3):316-23. PubMed ID: 12669988
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  • 9. A bi-dimensional index for the selective assessment of myoelectric manifestations of peripheral and central muscle fatigue.
    Mesin L, Cescon C, Gazzoni M, Merletti R, Rainoldi A.
    J Electromyogr Kinesiol; 2009 Oct 30; 19(5):851-63. PubMed ID: 18824375
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  • 13. Selectivity of spatial filters for surface EMG detection from the tibialis anterior muscle.
    Farina D, Arendt-Nielsen L, Merletti R, Indino B, Graven-Nielsen T.
    IEEE Trans Biomed Eng; 2003 Mar 30; 50(3):354-64. PubMed ID: 12669992
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  • 16. Blind source separation of peripheral nerve recordings.
    Tesfayesus W, Durand DM.
    J Neural Eng; 2007 Sep 30; 4(3):S157-67. PubMed ID: 17873415
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  • 20. Can standard surface EMG processing parameters be used to estimate motor unit global firing rate?
    Zhou P, Rymer WZ.
    J Neural Eng; 2004 Jun 30; 1(2):99-110. PubMed ID: 15876628
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