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New Perspectives in Real-Time Assessment of Neural Drive to Skeletal Muscles

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Converging Clinical and Engineering Research on Neurorehabilitation

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 1))

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Abstract

Decomposition of surface EMG into contributions of individual motor units allows the decoding of neural drive to muscles. Despite their remarkable progress in the last decade, the decomposition algorithms are still limited by relatively long processing times. This hinders their potential in the field of neurorehabilitation, ergonomics and sport sciences, where rapid and accurate feedback on neural commands is often needed. This paper discusses the possibilities, limitations and future trends in development of surface EMG decomposition techniques on their way towards complete online identification of motor commands.

This work was funded by the Commission of the European Union, within Framework 7, specific ICT Challenge 5 ”ICT for Health, Ageing Well, Inclusion and Governance”, Target outcome 5.1 “Personal Health Systems (PHS)”, under Grant Agreement number ICT-2011.5.1-287739, ”NeuroTREMOR: A novel concept for support to diagnosis and remote management of tremor.”

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References

  1. Holobar, A., Minetto, M.A., Botter, A., Negro, F., Farina, D.: Experimental analysis of accuracy in the identification of motor unit spike trains from high-density surface EMG. IEEE Trans. Neural Syst. Rehabil. Eng. 18, 221–229 (2010)

    Article  Google Scholar 

  2. Holobar, A., Zazula, D.: Multichannel Blind Source Separation Using Convolution Kernel Compensation. IEEE Trans. Sig. Process. 55, 4487–4496 (2007)

    Article  MathSciNet  Google Scholar 

  3. Nawab, S.H., Chang, S.S., De Luca, C.J.: High-yield decomposition of surface EMG signals. Clin. Neurophysiol. 121(10), 1602–1615 (2010)

    Article  Google Scholar 

  4. McGill, K.C., Lateva, Z.C., Marateb, H.R.: EMGLAB: an interactive EMG decomposition program. J. Neurosci. Methods 149(2), 121–133 (2005)

    Article  Google Scholar 

  5. Gazzoni, M., Farina, D., Merletti, R.: A new method for the extraction and classification of single motor unit action potentials from surface EMG signals. J. Neurosci. Methods 136, 165–177 (2004)

    Article  Google Scholar 

  6. Kleine, B.U., Van Dijk, J.P., Lapatki, B.G., Zwarts, M.J., Stegeman, D.F.: Using two-dimensional spatial information in decomposition of surface EMG signals. J. Electromyogr. Kinesiol. 17, 535–548 (2007)

    Article  Google Scholar 

  7. Farina, D., Holobar, A., Merletti, R., Enoka, R.M.: Decoding the neural drive to muscles from the surface electromyogram. Clin. Neurophysiol. 121(10), 1616–1623 (2010)

    Article  Google Scholar 

  8. Glaser, V., Holobar, A., Zazula, D.: An approach to the real-time surface electromyogram decomposition. In: 11th Mediterranean Conference on Medical and Biological Engineering and Computing, Ljubljana, Slovenia, pp. 105–108 (2007)

    Google Scholar 

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Correspondence to Aleš Holobar .

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Holobar, A., Glaser, V., Zazula, D. (2013). New Perspectives in Real-Time Assessment of Neural Drive to Skeletal Muscles. In: Pons, J., Torricelli, D., Pajaro, M. (eds) Converging Clinical and Engineering Research on Neurorehabilitation. Biosystems & Biorobotics, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34546-3_200

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  • DOI: https://doi.org/10.1007/978-3-642-34546-3_200

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34545-6

  • Online ISBN: 978-3-642-34546-3

  • eBook Packages: EngineeringEngineering (R0)

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