The motor unit firing rate and the power spectrum of EMG in humans☆
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The potential and limitations of quantitative electromyography in equine medicine
2016, Veterinary JournalCitation Excerpt :This pioneering group also reported on topics such as the diagnostic significance of EMG in myopathies and neuropathies (Buchthal and Pinelli, 1952, 1953; Pinelli and Buchthal, 1953a and b; Buchthal, 1970). In the 1970s, the effect of muscle effort on MUPs in healthy, myopathic, and neuropathic patients was studied by Professor Anders Fuglsang-Frederiksen and his group at Aarhus University (Fuglsang-Frederiksen and Mansson, 1975; Fuglsang-Frederiksen et al., 1976, 1977, 1984; Fuglsang-Frederiksen, 1981; Fuglsang-Frederiksen and Rønager, 1988). Computer technologies enabled the use of automatic analysis techniques such as peak-ratio interference pattern analysis and amplitude-turn analysis in insertional analysis (Finsterer et al., 1997; Finsterer and Fuglsang-Frederiksen, 2003).
Spectral analysis of EMG using intramuscular electrodes reveals non-linear fatigability characteristics in persons with chronic low back pain
2013, Journal of Electromyography and KinesiologyCitation Excerpt :Using intramuscular electrodes, electrical activity of the multifidus can be distinguished from the other extensors such as longissimus thoracis, and the activity of the deep fibers of multifidus can be distinguished from that of the superficial fibers (Moseley et al., 2002, 2003). Fatigue studies using intramuscular EMG are limited (Christensen et al., 1995; Davis et al., 1998; Fuglsang-Frederiksen and Rønager, 1988; Moritani et al., 1986; Onishi et al., 2000), with only one study examining multifidus fatigue (Arabadzhiev et al., 2008). In contrast to surface EMG, intramuscular recordings have a small detection volume and thus record activity from a small number of motor units, and high frequency signals are not filtered by the subcutaneous tissues as in surface EMG.
Whither needle EMG?
2010, Clinical NeurophysiologyOnline Decomposition of Surface Electromyogram Into Individual Motor Unit Activities Using Progressive FastICA Peel-Off
2024, IEEE Transactions on Biomedical EngineeringA quadriceps femoris motor pattern for efficient cycling
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This work was supported by grants from the Danish Medical Research Council and the Danish Muscular Dystrophy Association.
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We want to thank Brüel and Kjaer for the use of the power spectrum analyzer.