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Decomposition and Analysis of Intramuscular Electromyographic Signals

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Modern Techniques in Neuroscience Research

Abstract

The clinical community has long shown interest in the concept of extracting as many motor unit action potentials (MUAPs) as possible from an intramuscular electromyographic (EMG) signal. Adrian and Bronk (1929) developed the first concentric needle electrode to identify both shape and firing rate of the MUAPs. Subsequent manual approaches of graphically measuring and quantifying the EMG signal evolved into computer-based techniques directed at identifying individual action potentials and discharge times by shape discrimination. The Precision Decomposition technique described in this chapter recovers all the usable information available in the EMG signal. The information can be conveniently grouped into two categories: morphology and control properties. Morphology describes the parameters of the MUAP shape such as the peak-to-peak amplitude, the time duration, the number of phases, and the area. These parameters are provided by the recovered Concentric and Macro MUAP. The morphology of the MUAP describes features that are related to the anatomical and physiological properties of the muscle fibers. These are the parameters which the clinician is accustomed to evaluating during a standard clinical EMG examination. The control properties of the motor units dictate the firing characteristics of the motor units. Therefore, the firing characteristics provide a description of how the motor units are controlled by the central nervous system and to some extent the peripheral nervous system. Clinically, they quantify upper motoneuron diseases.

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References

  • Adam A, De Luca CJ, Erim Z (1988) Hand dominance and motor unit firing behavior. J Neurophysiol 80:1373–1382

    Google Scholar 

  • Adrian ED and Bronk DW (1929) Motor nerve fibers. Part II. The frequency of discharge in reflex and voluntary contractions. J Physiol 67:19–151

    Google Scholar 

  • Clamann HP (1970) Activity of single motor units during isometric tension. Neurology 20:254–260

    Article  PubMed  CAS  Google Scholar 

  • De Luca C (1979) Physiology and mathematics of myoelectric signals. IEEE Trans Biomed Engin BME-26:315–325

    Google Scholar 

  • De Luca CJ (1985) Control properties of motor units. J Exp Biol 115:125–136

    PubMed  Google Scholar 

  • De Luca CI, Erim Z (1994) Common Drive of Motor Units in Regulation of Muscle Force. Trends Neurosci 17:299–305

    Article  PubMed  Google Scholar 

  • De Luca CJ, Roy AM, Erim Z (1993) Synchronization of motor-unit firings in several human muscles. J Neurophysiol 70:2010–2023

    PubMed  Google Scholar 

  • De Luca CJ, Foley PJ, Erim Z (1996) Control Properties of Motor Units in Constant-Force Isometric Contractions. J Neurophysiol 76:1503–1516

    PubMed  Google Scholar 

  • De Luca CJ (1993) Precision decomposition of EMG signals. Methods Clin Neurophysiol 4:1–28

    Google Scholar 

  • De Luca CJ, Mambrito B (1987) Voluntary control of motor units in human antagonist muscles: Coactivation and reciprocal activation. J Neurophysiol 58:525–542

    PubMed  Google Scholar 

  • De Luca CJ, Forrest WJ (1973) Some properties of motor unit action potential trains recorded during constant force isometric contractions in man. Kybernetik 12:160–168

    Article  PubMed  Google Scholar 

  • De Luca CJ, LeFever RS, McCue MP, Xenakis AP (1982a) Behavior of human motor units in different muscles during linearly-varying contractions. J Physiol (Lond) 329:113–128

    Google Scholar 

  • De Luca CJ, LeFever RS, McCue MP, Xenakis AP (1982b) Control scheme governing concurrently active motor units during voluntary contractions. J Physiol 329:129–142

    Google Scholar 

  • Erim Z, Beg MF, Burke DT, De Luca CJ (in press) Effects of aging on motor unit firing behavior. J Neurophysiol 23:18–33

    Google Scholar 

  • Erim Z, De Luca C, Mineo K, Aoki T (1996) Rank-Ordered regulation of motor units. Muscle & Nerve 19:563–573

    Article  CAS  Google Scholar 

  • Guiheneuc P (1992) Le Recruitment de Unités Motrices: Méthodologie, Physiologie et Pathologie. In: Cadilhac J, Dapres G (Eds.) EMG: Actualités en Electromyographie, pp 35–39. Sauramps Medical; Montpellier

    Google Scholar 

  • Henneman E, Somjen G, Carpenter DO (1965a) Excitability and inhibitability of motoneurons of different sizes. J Neurophysiol 28:599–620

    CAS  Google Scholar 

  • Henneman E, Somjen G, Carpenter DO (1965b) Functional significance of cell size in spinal motoneurons. J Neurophysiol 28:560–580

    CAS  Google Scholar 

  • Hoffer JA, Sugano N, Loeb GE, Marks WB, O’Donovan MJ, Pratt CA (1987) Cat hindlimb motoneurons during locomotion. II. Normal activity patterns. J Neurophysiol 57:530–552

    PubMed  CAS  Google Scholar 

  • Iyer MB, Christakos CN, Ghez C (1994) Coherent modulations of human motor unit discharges during quasi-sinusoidal isometric muscle contractions. Neurosci Lett 170:94–98

    Article  PubMed  CAS  Google Scholar 

  • Kernell D (1965) The adaptation and the relation between discharge frequency and current strength of cat lumbosacral motoneurones stimulated by long-lasting injected currents. Acta Physiol Scand 65:65–73

    Article  Google Scholar 

  • Kukulka CG, Clamann PH (1981) Comparison of the recruitment and discharge properties of motor units in human brachial biceps and adductor pollicis during isometric contractions. Brain Res 219:45–55

    Article  PubMed  CAS  Google Scholar 

  • LeFever, RS and De Luca, C 1 (1978) Decomposition of action potential trains. Proceedings of 8th Annual Meeting of the Society for Neuroscience 229

    Google Scholar 

  • LeFever RS, De Luca CJ (1982a) A procedure for decomposing the myoelectric signal into its constituent action potentials. Part I. Technique, theory and implementation. IEEE Trans Biomed Engin BME-29: 149–157

    Google Scholar 

  • LeFever RS, Xenakis AP, De Luca CJ (1982b) A procedure for decomposing the myoelectric signal into its constituent action potentials. Part II. Execution and test for accuracy. IEEE Trans Biomed Engin BME-29: 158–164.

    Google Scholar 

  • Mambrito B, De Luca CJ (1984) A technique for the detection, decomposition and analysis of the EMG signal. EEG Clin Neurophysiol 58: 175–188.

    Article  CAS  Google Scholar 

  • Miles TS (1987) The cortical control of motor neurons: some principles of operation. Medical Hypotheses 23:43–50

    Article  PubMed  CAS  Google Scholar 

  • Person RS, Kudina LP (1972) Discharge frequency and discharge pattern of human motor units during voluntary contractions in man. EEG Clin Neurophysiol 32:371–483

    Article  Google Scholar 

  • Rossi A, Mazzachio R (1991) Presence of homonymous recurrent inhibition in motoneurons supplying different lower limb muscles in humans. Exp Brain Res 84:367–373

    Article  PubMed  CAS  Google Scholar 

  • Semmler JG, Nordstrom MA, Wallace CJ (1997) Relationship between motor unit short-term synchronization and common drive in human first dorsal interosseous muscle. Brain Res 767:314–320

    Article  PubMed  CAS  Google Scholar 

  • Stashuk D, De Bruin H (1988) Automatic decomposition of selective needle-detected myoelectric signals. IEEE Trans Biomed Engin BME-35:1–10

    Google Scholar 

  • Stashuk D, De Luca CJ (1989) Update on the decomposition and analysis of EMG signals. In: Desmedt JE (ed) Computer-aided electromyography and expert systems, pp 39–53. Elsevier: Amsterdam

    Google Scholar 

  • Tanji J, Kato M (1973) Firing rate of individual motor units in voluntary contraction of abductor digiti minimi muscle in man. Exp Neurol 40:771–783

    Article  PubMed  CAS  Google Scholar 

  • Westgaard RH, De Luca CJ (1999) Motor Unit Substitution in Long-Duration Contractions of the Human Trapezius Muscle. J Neurophysiol 82:501–504

    PubMed  CAS  Google Scholar 

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© 1999 Springer-Verlag Berlin Heidelberg

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De Luca, C.J., Adam, A. (1999). Decomposition and Analysis of Intramuscular Electromyographic Signals. In: Windhorst, U., Johansson, H. (eds) Modern Techniques in Neuroscience Research. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58552-4_27

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  • DOI: https://doi.org/10.1007/978-3-642-58552-4_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63643-1

  • Online ISBN: 978-3-642-58552-4

  • eBook Packages: Springer Book Archive

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