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Erschienen in: Medical & Biological Engineering & Computing 7/2013

01.07.2013 | Original Article

Peculiarities of extracellular potentials produced by deep muscles. Part 2: motor unit potentials

verfasst von: T. I. Arabadzhiev

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 7/2013

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Abstract

The potential fields generated by single fibres far from the sources are non-propagating. This suggests that there should be differences in the features of surface motor unit (MU) potentials (MUPs) detected from deep and superficial muscles. We explored the features using a simulation approach. We have shown that the non-propagating character and similar shapes among surface MUPs recorded over a wide area above deep muscles with monopolar or longitudinal single differential (LSD) electrodes are natural. Contrary to close distances, at large radial distances single differentiation did not emphasize MUP main phase relative weight. The position of the end plate area could be estimated with LSD detections only for MUs with long (123 mm) almost symmetric fibres. With short fibres, the LSD main phase was masked by the outlined terminal phases. This could be misleading in MUP analysis since the terminal phases reflect standing sources. The highly asymmetric fibres could yield peculiar MUP shapes resembling MUPs of two distinct MUs. We have shown that the relative weight of terminal phases at large fibre-electrode distance decreases under abnormal peripheral conditions. However, the changes in membrane depolarization due to fatigue or pathology could be assessed non-invasively also from deep muscles.

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Literatur
1.
Zurück zum Zitat Arabadzhiev TI (2013) Peculiarities of extracellular potentials produced by deep muscles Part 1: Single fibre potential fields. Med Biol Eng Comput. doi:10.1007/s11517-013-1037-6 Arabadzhiev TI (2013) Peculiarities of extracellular potentials produced by deep muscles Part 1: Single fibre potential fields. Med Biol Eng Comput. doi:10.​1007/​s11517-013-1037-6
2.
Zurück zum Zitat Arabadzhiev TI, Dimitrov GV, Chakarov VE, Dimitrov AG, Dimitrova NA (2008) Effects of changes in intracellular action potential on potentials recorded by single-fiber, macro, and belly-tendon electrodes. Muscle Nerve 37:700–712PubMedCrossRef Arabadzhiev TI, Dimitrov GV, Chakarov VE, Dimitrov AG, Dimitrova NA (2008) Effects of changes in intracellular action potential on potentials recorded by single-fiber, macro, and belly-tendon electrodes. Muscle Nerve 37:700–712PubMedCrossRef
3.
Zurück zum Zitat Arabadzhiev TI, Dimitrov GV, Dimitrova NA (2003) Simulation analysis of the ability to estimate motor unit propagation velocity non-invasively by different two-channel methods and types of multi-electrodes. J Electromyogr Kinesiol 13:403–415PubMedCrossRef Arabadzhiev TI, Dimitrov GV, Dimitrova NA (2003) Simulation analysis of the ability to estimate motor unit propagation velocity non-invasively by different two-channel methods and types of multi-electrodes. J Electromyogr Kinesiol 13:403–415PubMedCrossRef
4.
Zurück zum Zitat Arabadzhiev TI, Dimitrov GV, Dimitrova NA (2005) Simulation analysis of the performance of a novel high sensitive spectral index for quantifying M-wave changes during fatigue. J Electromyogr Kinesiol 15:149–158PubMedCrossRef Arabadzhiev TI, Dimitrov GV, Dimitrova NA (2005) Simulation analysis of the performance of a novel high sensitive spectral index for quantifying M-wave changes during fatigue. J Electromyogr Kinesiol 15:149–158PubMedCrossRef
5.
Zurück zum Zitat Biedermann HJ, Shanks GL, Forrest WJ, Inglis J (1991) Power spectrum analyses of electromyographic activity. Discriminators in the differential assessment of patients with chronic low-back pain. Spine (Phila Pa 1976) 16:1179–84 Biedermann HJ, Shanks GL, Forrest WJ, Inglis J (1991) Power spectrum analyses of electromyographic activity. Discriminators in the differential assessment of patients with chronic low-back pain. Spine (Phila Pa 1976) 16:1179–84
6.
Zurück zum Zitat Dimitrov GV, Arabadzhiev TI, Mileva KN, Bowtell JL, Crichton N, Dimitrova NA (2006) Muscle fatigue during dynamic contractions assessed by new spectral indices. Med Sci Sports Exerc 38:1971–1979PubMedCrossRef Dimitrov GV, Arabadzhiev TI, Mileva KN, Bowtell JL, Crichton N, Dimitrova NA (2006) Muscle fatigue during dynamic contractions assessed by new spectral indices. Med Sci Sports Exerc 38:1971–1979PubMedCrossRef
7.
Zurück zum Zitat Dimitrov GV, Dimitrova NA (1974) Extracellular potential field of an excitable fibre immersed in anisotropic volume conductor. Electromyogr Clin Neurophysiol 14:437–450PubMed Dimitrov GV, Dimitrova NA (1974) Extracellular potential field of an excitable fibre immersed in anisotropic volume conductor. Electromyogr Clin Neurophysiol 14:437–450PubMed
8.
Zurück zum Zitat Dimitrov GV, Dimitrova NA (1998) Precise and fast calculation of the motor unit potentials detected by a point and rectangular plate electrode. Med Eng Phys 20:374–381PubMedCrossRef Dimitrov GV, Dimitrova NA (1998) Precise and fast calculation of the motor unit potentials detected by a point and rectangular plate electrode. Med Eng Phys 20:374–381PubMedCrossRef
9.
Zurück zum Zitat Dimitrova N (1973) Influence of the length of the depolarized zone on the extracellular potential field of a single unmyelinated nerve fibre. Electromyogr Clin Neurophysiol 13:547–558PubMed Dimitrova N (1973) Influence of the length of the depolarized zone on the extracellular potential field of a single unmyelinated nerve fibre. Electromyogr Clin Neurophysiol 13:547–558PubMed
10.
Zurück zum Zitat Dimitrova N (1974) Model of the extracellular potential field of a single striated muscle fibre. Electromyogr Clin Neurophysiol 14:53–66PubMed Dimitrova N (1974) Model of the extracellular potential field of a single striated muscle fibre. Electromyogr Clin Neurophysiol 14:53–66PubMed
11.
Zurück zum Zitat Dimitrova NA, Dimitrov GV (2002) Amplitude-related characteristics of motor unit and M-wave potentials during fatigue. A simulation study using literature data on intracellular potential changes found in vitro. J Electromyogr Kinesiol 12:339–349PubMedCrossRef Dimitrova NA, Dimitrov GV (2002) Amplitude-related characteristics of motor unit and M-wave potentials during fatigue. A simulation study using literature data on intracellular potential changes found in vitro. J Electromyogr Kinesiol 12:339–349PubMedCrossRef
12.
Zurück zum Zitat Dimitrova NA, Dimitrov GV (2006) Electromyography (EMG) modeling. In: Metin A (eds) Wiley Encyclopedia of Biomedical Engineering, John Wiley and Sons, Inc, Hoboken Dimitrova NA, Dimitrov GV (2006) Electromyography (EMG) modeling. In: Metin A (eds) Wiley Encyclopedia of Biomedical Engineering, John Wiley and Sons, Inc, Hoboken
13.
Zurück zum Zitat Dimitrova NA, Dimitrov GV, Nikitin OA (2002) Neither high-pass filtering nor mathematical differentiation of the EMG signals can considerably reduce cross-talk. J Electromyogr Kinesiol 12:235–246PubMedCrossRef Dimitrova NA, Dimitrov GV, Nikitin OA (2002) Neither high-pass filtering nor mathematical differentiation of the EMG signals can considerably reduce cross-talk. J Electromyogr Kinesiol 12:235–246PubMedCrossRef
14.
Zurück zum Zitat Dimitrova NA, Hogrel JY, Arabadzhiev TI, Dimitrov GV (2005) Estimate of M-wave changes in human biceps brachii during continuous stimulation. J Electromyogr Kinesiol 15:341–348PubMedCrossRef Dimitrova NA, Hogrel JY, Arabadzhiev TI, Dimitrov GV (2005) Estimate of M-wave changes in human biceps brachii during continuous stimulation. J Electromyogr Kinesiol 15:341–348PubMedCrossRef
15.
Zurück zum Zitat Farina D, Gazzoni M, Merletti R (2003) Assessment of low back muscle fatigue by surface EMG signal analysis: methodological aspects. J Electromyogr Kinesiol 13:319–332PubMedCrossRef Farina D, Gazzoni M, Merletti R (2003) Assessment of low back muscle fatigue by surface EMG signal analysis: methodological aspects. J Electromyogr Kinesiol 13:319–332PubMedCrossRef
16.
Zurück zum Zitat Farina D, Merletti R, Indino B, Nazzaro M, Pozzo M (2002) Surface EMG crosstalk between knee extensor muscles: experimental and model results. Muscle Nerve 26:681–695PubMedCrossRef Farina D, Merletti R, Indino B, Nazzaro M, Pozzo M (2002) Surface EMG crosstalk between knee extensor muscles: experimental and model results. Muscle Nerve 26:681–695PubMedCrossRef
17.
Zurück zum Zitat Farina D, Mesin L, Martina S, Merletti R (2004) Comparison of spatial filter selectivity in surface myoelectric signal detection: influence of the volume conductor model. Med Biol Eng Comput 42:114–120PubMedCrossRef Farina D, Mesin L, Martina S, Merletti R (2004) Comparison of spatial filter selectivity in surface myoelectric signal detection: influence of the volume conductor model. Med Biol Eng Comput 42:114–120PubMedCrossRef
18.
Zurück zum Zitat Gabriel DA, Kamen G, Frost G (2006) Neural adaptations to resistive exercise: mechanisms and recommendations for training practices. Sports Med 36:133–149PubMedCrossRef Gabriel DA, Kamen G, Frost G (2006) Neural adaptations to resistive exercise: mechanisms and recommendations for training practices. Sports Med 36:133–149PubMedCrossRef
19.
Zurück zum Zitat Grassme R, Arnold D, Anders C, van Dijk JP, Stegeman DF, Linss W, Bradl I, Schumann NP, Scholle H (2005) Improved evaluation of back muscle SEMG characteristics by modelling. Pathophysiology 12:307–312PubMedCrossRef Grassme R, Arnold D, Anders C, van Dijk JP, Stegeman DF, Linss W, Bradl I, Schumann NP, Scholle H (2005) Improved evaluation of back muscle SEMG characteristics by modelling. Pathophysiology 12:307–312PubMedCrossRef
20.
Zurück zum Zitat Larivière C, Arsenault AB, Gravel D, Gagnon D, Loisel P (2002) Evaluation of measurement strategies to increase the reliability of EMG indices to assess back muscle fatigue and recovery. J Electromyogr Kinesiol 12:91–102PubMedCrossRef Larivière C, Arsenault AB, Gravel D, Gagnon D, Loisel P (2002) Evaluation of measurement strategies to increase the reliability of EMG indices to assess back muscle fatigue and recovery. J Electromyogr Kinesiol 12:91–102PubMedCrossRef
21.
Zurück zum Zitat Merletti R, Lo Conte L, Avignone E, Guglielminotti P (1999) Modeling of surface myoelectric signals—Part I: model implementation. IEEE Trans Biomed Eng 46:810–820PubMedCrossRef Merletti R, Lo Conte L, Avignone E, Guglielminotti P (1999) Modeling of surface myoelectric signals—Part I: model implementation. IEEE Trans Biomed Eng 46:810–820PubMedCrossRef
22.
Zurück zum Zitat Nandedkar S, Stålberg E (1983) Simulation of macro EMG motor unit potentials. Electroencephalogr Clin Neurophysiol 56:52–62PubMedCrossRef Nandedkar S, Stålberg E (1983) Simulation of macro EMG motor unit potentials. Electroencephalogr Clin Neurophysiol 56:52–62PubMedCrossRef
23.
Zurück zum Zitat Ng JK, Richardson CA, Jull GA (1997) Electromyographic amplitude and frequency changes in the iliocostalis lumborum and multifidus muscles during a trunk holding test. Phys Ther 77:954–961PubMed Ng JK, Richardson CA, Jull GA (1997) Electromyographic amplitude and frequency changes in the iliocostalis lumborum and multifidus muscles during a trunk holding test. Phys Ther 77:954–961PubMed
24.
Zurück zum Zitat Roy SH (2003) The Use of Electromyography for the Identification of Fatigue in Lower Back Pain Motriz. Rio Claro 9:15–20 Roy SH (2003) The Use of Electromyography for the Identification of Fatigue in Lower Back Pain Motriz. Rio Claro 9:15–20
25.
Zurück zum Zitat Seynnes OR, de Boer M, Narici MV (2007) Early skeletal muscle hypertrophy and architectural changes in response to high-intensity resistance training. J Appl Physiol 102:368–373PubMedCrossRef Seynnes OR, de Boer M, Narici MV (2007) Early skeletal muscle hypertrophy and architectural changes in response to high-intensity resistance training. J Appl Physiol 102:368–373PubMedCrossRef
26.
Zurück zum Zitat Shiraishi M, Masuda T, Sadoyama T, Okada M (1995) Innervation zones in the back muscles investigated by multichannel surface EMG. J Electromyogr Kinesiol 5:161–167PubMedCrossRef Shiraishi M, Masuda T, Sadoyama T, Okada M (1995) Innervation zones in the back muscles investigated by multichannel surface EMG. J Electromyogr Kinesiol 5:161–167PubMedCrossRef
27.
Zurück zum Zitat Stegeman DF, Linssen WH (1992) Muscle fiber action potential changes and surface EMG: a simulation study. J Electromyogr Kinesiol 2:130–140PubMedCrossRef Stegeman DF, Linssen WH (1992) Muscle fiber action potential changes and surface EMG: a simulation study. J Electromyogr Kinesiol 2:130–140PubMedCrossRef
Metadaten
Titel
Peculiarities of extracellular potentials produced by deep muscles. Part 2: motor unit potentials
verfasst von
T. I. Arabadzhiev
Publikationsdatum
01.07.2013
Verlag
Springer-Verlag
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 7/2013
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-013-1043-8

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