The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Influence of amplitude cancellation on the simulated surface electromyogram
Abstract
The purpose of the study was to quantify the influence of selected motor unit properties and patterns of activity on amplitude cancellation in the simulated surface electromyogram (EMG). The study involved computer simulations of a motor unit population with physiologically defined recruitment and rate coding characteristics that activated muscle fibers whose potentials were recorded on the skin over the muscle. Amplitude cancellation was quantified as the percent difference in signal amplitude when motor unit potentials were summed before and after rectification. The simulations involved varying the level of activation for the motor unit population, the recording configuration, the upper limit of motor unit recruitment, peak discharge rates, the amount of motor unit synchronization, muscle fiber length, the thickness of the subcutaneous tissue, and the motor unit properties that change with advancing age. The results confirmed a previous experimental report (Day SJ and Hulliger M, J Neurophysiol 86: 2144–2158, 2001) that amplitude cancellation in the surface EMG can reach 62% at maximal activation. A decrease in the range of amplitudes of the motor unit potentials, as can occur during fatiguing contractions, increased amplitude cancellation up to ∼85%. Differences in the amount of amplitude cancellation were observed across all simulated conditions, and resulted in substantial changes in the absolute magnitude of the EMG signal. The most profound factors influencing amplitude cancellation were the number of active motor units and the duration of the action potentials. The effects of amplitude cancellation were minimal (<5%) when the EMG amplitude was normalized to maximal values, with the exception of variations in peak discharge rate and recruitment range, which resulted in differences up to 17% in the normalized EMG signal across conditions. These results indicate the amount of amplitude cancellation that can occur in various experimental conditions and its influence on absolute and relative measures of EMG amplitude.
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Citations
Cites
Relation between size of neurons and their susceptibility to discharge
Henneman, E. (1957) · Science · doi:10.1126/science.126.3287.1345 · Cited by 1,227
Models of recruitment and rate coding organization in motor-unit pools.
Fuglevand, A. J., Winter, D. A., & Patla, A. E. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.6.2470 · Cited by 988 · cited 4×
“It has been suggested that variation in recruitment range may contribute to the different EMGforce relations observed experimentally (3, 21).”
InfluentialLexell, J., Henriksson‐Larsén, K., Winblad, B., & Sjöström, M. (1983) · Muscle & Nerve · doi:10.1002/mus.880060809 · Cited by 582 · cited 1×
“To examine the combined influence of motor unit properties on amplitude cancellation, simulations included factors that are known to change with advancing age: a reduction in the number of motor units and of the innervated muscle fibers, increased density of motor unit fibers and increased motor unit territory, increa…”
Hakkinen, K., Newton, R. U., Gordon, S. E., McCormick, M., Volek, J. S., Nindl, B. C., Gotshalk, L. A., Campbell, W. W., Evans, W. J., Hakkinen, A., et al. (1998) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/53a.6.b415 · Cited by 423
Potential for gross muscle hypertrophy in older men
Moritani, T., & Devries, H. A. (1980) · Journal of Gerontology · doi:10.1093/geronj/35.5.672 · Cited by 362 · cited 2×
“The absolute amplitude of the surface EMG is commonly used in studies that compare young and old adults to determine whether differences exist in the ability of the nervous system to activate muscle (33, 45).”
Motor unit discharge behavior in older adults during maximal-effort contractions.
Kamen, G., Sison, S. V., Du, C. C., & Patten, C. (1995) · Journal of Applied Physiology · doi:10.1152/jappl.1995.79.6.1908 · Cited by 323
Factors causing difference in force output among motor units in the rat medial gastrocnemius muscle
Kanda, K., & Hashizume, K. (1992) · The Journal of Physiology · doi:10.1113/jphysiol.1992.sp019064 · Cited by 156
Cutsem, M. V., Feiereisen, P., Duchateau, J., & Hainaut, K. (1997) · Canadian Journal of Applied Physiology · doi:10.1139/h97-038 · Cited by 127
Effect of discharge desynchronization on the size of motor evoked potentials: an analysis
Rösler, K. M., Petrow, E., Mathis, J., Arányi, Z., Hess, C. W., & Magistris, M. R. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00263-8 · Cited by 58
Cited by
Farina, D., Jiang, N., Rehbaum, H., Holobar, A., Graimann, B., Dietl, H., & Aszmann, O. C. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2305111 · Cited by 992
Self-citationHeckman, C. J., & Enoka, R. M. (2012) · Comprehensive Physiology · doi:10.1002/cphy.c100087 · Cited by 414
Self-citationHolobar, A., Minetto, M. A., & Farina, D. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/1/016008 · Cited by 400
Self-citationAmann, M., Proctor, L. T., Sebranek, J. J., Pegelow, D. F., & Dempsey, J. A. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2008.163303 · Cited by 393
Decoding the neural drive to muscles from the surface electromyogram
Farina, D., Holobar, A., Merletti, R., & Enoka, R. M. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2009.10.040 · Cited by 383
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Metadata
- Authors
- Keenan, K. G., Farina, D., Maluf, K. S., Merletti, R., & Enoka, R. M.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 2005-01
- Volume
- 98
- Issue
- 1
- Pages
- 120-131
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2146320932
- Cited by
- 389
- References
- 9
- FWCI
- 13.63
- Type
- journal article
- Language
- en
- Open access
- closed
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