Adaptive spatial filtering of multichannel surface electromyogram signals

N. Östlund; J. Yu; K. Roeleveld; J. S. Karlsson

doi:10.1007/bf02345217

journal article Nov 01, 2004

Adaptive spatial filtering of multichannel surface electromyogram signals

N. Östlund J. Yu

K. Roeleveld J. S. Karlsson

Medical & Biological Engineering & Computing Vol. 42 No. 6 pp. 825-831 · Springer Science and Business Media LLC

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References

29

[1]

Basmajian, J., andDeluca, C. J. (1985): ‘Muscles alive: their function revealed by electromyography, 5th edn’ (Wiliams & Wilkins, Baltimore, 1985)

[2]

A high-density multichannel surface electromyography system for the characterization of single motor units

J. H. Blok, J. P. Van Dijk, G. Drost et al.

Review of Scientific Instruments 2002 10.1063/1.1455134

[3]

Cardoso, J.-F., andSouloumiac, A. (1993): ‘Blind beamforming for non Gaussian signals’,IEE Proc. F,140, pp. 362–370

[4]

Cardoso, J.-F. (1999): ‘High-order contrasts for independent component analysis’,Neural Comput.,11, pp. 157–192 10.1162/089976699300016863

[5]

Chauvet, E., Fokapu, O., Hogrel, J. Y., Gamet, D., and Duchêne, J. (2003): ‘Automatic identification of motor unit action potential trains from electromyographic signals using fuzzy techniques’,Med. Biol. Eng. Comput.,41, pp. 646–653 10.1007/bf02349972

[6]

Disselhorst-Klug, C., Silny, J. andRau, G. (1997): ‘Improvement of spatial resolution in surface-EMG: a theoretical and experimental comparison of different spatial filters’,IEEE Trans. Biomed. Eng.,44, pp. 567–574 10.1109/10.594897

[7]

Disselhorst-Klug, C., Rau, G., Schmeer, A., andSilny, J. (1999): ‘Non-invasive detection of the single motor unit action potential by averaging the spatial potential distribution triggered on a spatially filtered motor unit action potential’,J. Electromyogr. Kinesiol.,9, pp. 67–72 10.1016/s1050-6411(98)00026-1

[8]

Farina, D., andMerletti, R. (2001): ‘A novel approach for precise simulation of the EMG signal detected by surface electrodes’,IEEE Trans. Biomed. Eng.,48, pp. 637–646 10.1109/10.923782

[9]

Farina, D., Muhammad, W., Fortunato, E., Meste, O., Meretti, R., andRix, H. (2001): ‘Estimation of single motor unit conduction velocity from surface electromyogram signals detected with linear electrode arrays’,Med. Biol. Eng. Comput.,39, pp. 225–236 10.1007/bf02344807

[10]

Farina, D., Arendt-Nielsen, L., Merletti, R., Indino, B., andGraven-Nielsen, T. (2003a): ‘Selectivity of spatial filters for surface EMG detection from the tibialis anterior muscle’,IEEE Trans. Biomed. Eng.,50, pp. 354–364 10.1109/tbme.2003.808830

[11]

Farina, D., Schulte, E., Merletti, R., Rau, G., andDisselhorst-Klug, C. (2003b): ‘Single motor unit analysis from spatially filtered surface electromyogram signals. Part I: spatial selectivity’,Med. Biol. Eng. Comput.,41, pp. 330–337 10.1007/bf02348439

[12]

Estimation of average muscle fiber conduction velocity from two-dimensional surface EMG recordings

Dario Farina, Roberto Merletti

Journal of Neuroscience Methods 2004 10.1016/j.jneumeth.2003.12.002

[13]

Farina, D., Mesin, L., Martina, S., andMerletti, R. (2004): ‘Comparison of spatial filter selectivity in surface myoelectric signal detection: influence of the volume conductor model’,Med. Biol. Eng. Comput.,42, pp. 114–120 10.1007/bf02351020

[14]

Hermens, J. H., Hägg, G., andFreriks, B. (1997): ‘SENIAM 2: European applications on surface electromyography’. Roessingh Research Development b.v.

[15]

Houtman, C. J., Stegeman, D. F., Van Dijk, J. P., andZwarts, M. J. (2003): ‘Changes in muscle fiber conduction velocity indicate recruitment of distinct motor unit populations’,J. Appl. Physiol.,95, pp. 1045–1054 10.1152/japplphysiol.00665.2002

[16]

Kamen, G. andCaldwell, G. E. (1996): ‘Physiology and interpretation of the electromyogram’,J. Clin. Neurophysiol.,13, pp. 366–384 10.1097/00004691-199609000-00002

[17]

A thin, flexible multielectrode grid for high-density surface EMG

B. G. Lapatki, J. P. Van Dijk, I. E. Jonas et al.

Journal of Applied Physiology 2004 10.1152/japplphysiol.00521.2003

[18]

Merletti, R., Farina, D., andGazzoni, M. (2003): ‘The linear electrode array: a useful tool with many applications’,J. Electromyogr. Kinesiol,13, pp. 37–47 10.1016/s1050-6411(02)00082-2

[19]

Nikias, C. L. andMendel, J. M. (1993): ‘Signal processing with higher-order spectra’,IEEE Signal Process. Mag.,10, pp. 10–37 10.1109/79.221324

[20]

Prutchi, D. (1995): ‘A high-resolution large array (HRLA) surface EMG system’,Med. Eng. Phys.,17, pp. 442–454 10.1016/1350-4533(94)00016-3

[21]

Rau, G. andDisselhorst-Klug, C. (1997): ‘Principles of high-spatial-resolution surface EMG (HSR-EMG): Single motor unit detection and application in the diagnosis of neuromuscular disorders’,J. Electromyogr. Kinesiol.,7, pp. 233–239 10.1016/s1050-6411(97)00007-2

[22]

Rau, G., Disselhorst-Klug, C., andSilny, J. (1997): ‘Noninvasive approach to motor unit characterization: muscle structure, membrane dynamics and neuronal control’,J. Biomech.,30, pp. 441–446 10.1016/s0021-9290(96)00169-8

[23]

Reucher, H., Rau, G. andSilny, J. (1987a): ‘Spatial filtering of noninvasive multielectrode EMG: Part I-Introduction to measuring technique and applications’,IEEE Trans. Biomed. Eng.,34, pp. 98–105 10.1109/tbme.1987.326034

[24]

Reucher, H., Silny, J., andRau, G. (1987a): ‘Spatial filtering of noninvasive multielectrode EMG: Part II-Filter performance in theory and modeling’,IEEE Trans. Biomed. Eng.,34, pp. 106–113 10.1109/tbme.1987.326035

[25]

Roeleveld, K., Stegeman, D. F., Vingerhoets, H. M., andVan Oosterom, A. (1997): ‘The motor unit potential distribution over the skin surface and its use in estimating the motor unit location’,Acta Physiol. Scand.,161, pp. 465–472 10.1046/j.1365-201x.1997.00247.x

[26]

Roeleveld, K. andStegeman, D. F. (2002): ‘What do we learn from motor unit action potentials in surface electromyography?’,Muscle Nerve,11, pp. S92-S97 10.1002/mus.10153

[27]

Rosenfalck, P. (1969): ‘Intra- and extracellular potential fields of active nerve and muscle fibres. A physico-mathematical analysis of different models’,Thromb. Diath. Haemorrh. Suppl.,321, pp. 1–168

[28]

Schulte, E., Farina, D., Rau, G., Merletti, R., andDisselhorst-Klug, C. (2003): ‘Single motor unit analysis from spatially filtered surface electromyogram signals. Part 2: conduction velocity estimation’,Med. Biol. Eng. Comput.,41, pp. 338–345 10.1007/bf02348440

[29]

Zwarts, M. J. andStegeman, D. F. (2003): ‘Multichanel surface EMG: basic aspects and clinical utility’,Muscle Nerve,28, pp. 1–17 10.1002/mus.10358

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Published: Nov 01, 2004
Vol/Issue: 42(6)
Pages: 825-831
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N. Östlund, J. Yu, K. Roeleveld, et al. (2004). Adaptive spatial filtering of multichannel surface electromyogram signals. Medical & Biological Engineering & Computing, 42(6), 825-831. https://doi.org/10.1007/bf02345217

Adaptive spatial filtering of multichannel surface electromyogram signals

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