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Journal Abstract Search

387 related items for PubMed ID: 18334382

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  • 3. 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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  • 5. 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; 50(12):1340-51. PubMed ID: 14656063
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  • 9. Improvement of spatial resolution in surface-EMG: a theoretical and experimental comparison of different spatial filters.
    Disselhorst-Klug C, Silny J, Rau G.
    IEEE Trans Biomed Eng; 1997 Jul; 44(7):567-74. PubMed ID: 9210816
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  • 10. The change in spatial distribution of upper trapezius muscle activity is correlated to contraction duration.
    Farina D, Leclerc F, Arendt-Nielsen L, Buttelli O, Madeleine P.
    J Electromyogr Kinesiol; 2008 Feb; 18(1):16-25. PubMed ID: 17049273
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  • 11. Nonlinear spatial filtering of multichannel surface electromyogram signals during low force contractions.
    Zhou P, Suresh NL, Lowery MM, Rymer WZ.
    IEEE Trans Biomed Eng; 2009 Jul; 56(7):1871-9. PubMed ID: 19342344
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  • 12. A new method for the extraction and classification of single motor unit action potentials from surface EMG signals.
    Gazzoni M, Farina D, Merletti R.
    J Neurosci Methods; 2004 Jul 30; 136(2):165-77. PubMed ID: 15183268
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  • 13. Noise reduction based on ICA decomposition and wavelet transform for the extraction of motor unit action potentials.
    Ren X, Yan Z, Wang Z, Hu X.
    J Neurosci Methods; 2006 Dec 15; 158(2):313-22. PubMed ID: 16831466
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  • 14. Two-dimensional spatial distribution of surface mechanomyographical response to single motor unit activity.
    Cescon C, Madeleine P, Graven-Nielsen T, Merletti R, Farina D.
    J Neurosci Methods; 2007 Jan 15; 159(1):19-25. PubMed ID: 16876257
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  • 15. [Study on the classification of motor unit action potentials from single-channel surface EMG signal based on the wavelet analysis].
    Li Q, Yang J.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Aug 15; 27(4):893-7. PubMed ID: 20842866
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  • 17. Unsupervised Bayesian decomposition of multiunit EMG recordings using Tabu search.
    Ge D, Le Carpentier E, Farina D.
    IEEE Trans Biomed Eng; 2010 Mar 15; 57(3):561-71. PubMed ID: 19457743
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  • 18. Compression of EMG signals with wavelet transform and artificial neural networks.
    Berger Pde A, Nascimento FA, do Carmo JC, da Rocha AF.
    Physiol Meas; 2006 Jun 15; 27(6):457-65. PubMed ID: 16603798
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