Abstract
Spectrum analysis of EMG has gained interest during the past decades due to its quantitative nature. Much of the interest can also be traced back to the greater availability of mini-and microcomputers which enable more elaborate analysis.
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References
Agarwal, G.C., Gottlieb, G.L. An analysis of the electromyogram by Fourier, simulation and experimental techniques. IEEE Trans. Biomed. Engn. 22: 225–229, 1975.
Bernstein, V.M. Statistical parameters of the electric signal of a muscle model. Biofizika 12. 693703, 1967.
Blackman, R.B., Tukey, J.W. The measurement of power spectra. Dover Publications, New York, 1959.
Christakos, C.N., Lal, S. Lumped and population stochastic models of skeletal muscle: implications and predictions. Biol. Cybernet. 36: 73–85, 1980.
Clark, J., Plonsey, R. A mathematical evaluation of the core conductor model. Biophys. J. 6: 95112, 1966.
De Luca, C. J. A model for a motor unit train recorded during constant force isometric contractions. Biol. Cybern. 19: 159–167, 1975.
Lago, P., Jones, N.B. Effect of motor-unit firing time statistics on EMG spectra. Med. and Biol. Engn. and Comput. 15: 648–655, 1977.
Lindström, L., Magnusson, R.I. Interpretation of myoelectric power spectra: A model and its applications. Proceed. IEEE. 65: 653–662, 1977.
Lindström, L., Magnusson, R., Petersén, I. Muscular fatigue and action potential conduction velocity changes studied with frequency analysis of EMG signals. Electromyogr. 4: 341–355, 1970.
Lindström, L., Petersén, I. Power spectrum analysis of EMG signals and its applications. In: (J.E. Desmedt, ed.) Prog. Clin. Neurophysiol. 10: 1–51, 1983.
Pattie, R.E. The external action potential of a nerve or muscle fiber in an extended medium. Phys. Med. Biol. 16: 673–685, 1971.
Person, R.S., Mishin, L.N. Auto-and cross-correlation analysis of the electrical activity of muscles. Med. Electron. Biol. Engn. 2: 155–159, 1964.
Plonsey, R. Volume conductor fields of action currents. Biophys. J. 4: 317–327, 1964.
Rice, S.O. Mathematical analysis of random noise. Bell Syst. Techn. J. 23/24,1944–45. Reprinted in N. Wax (ed): Selected papers on noise and stochastic processes. Dover Publications, New York, 1954.
Rosenfalck, P. Intra-and extracellular potential fields of active nerve and muscle fibers. Akademisk forlag, Kobenhavn, 1969.
Shwedyk, E., Balasubramanian, R., Scott, R.N. A nonstationary model for the electromyogram. IEEE Trans. Biomed. Engn., BME-24: 417–424, 1977.
Stulen, B., De Luca, C.J. The relation between the myoelectric signal and physiological properties of constant-force isometric contractions. Electroenceph. Clin. Neurophysiol. 45: 681–698, 1978.
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© 1985 Springer-Verlag Berlin Heidelberg
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Lindström, L. (1985). Spectral Analysis of EMG. In: Struppler, A., Weindl, A. (eds) Electromyography and Evoked Potentials. Advances in Applied Neurological Sciences, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-70122-1_19
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DOI: https://doi.org/10.1007/978-3-642-70122-1_19
Publisher Name: Springer, Berlin, Heidelberg
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