High-density surface electromyography provides reliable estimates of motor unit behavior

Clinical Neurophysiology

Volumn 127, Issue 6, 2016, Pages 2534-2541

  Martinez Valdes, E ^a   Laine, C M ^b   Falla, D ^b,c   Mayer, F ^a   Farina, D ^b  

^a UNIVERSITY OF POTSDAM   (Germany)

^b BERNSTEIN CENTER FOR COMPUTATIONAL NEUROSCIENCE   (Germany)

^c UNIVERSITY MEDICAL CENTER GÖTTINGEN   (Germany)

Author keywords

Conduction velocity; High density surface EMG; Motor unit decomposition; Motor unit discharge rate; Vastus lateralis; Vastus medialis

Indexed keywords

ACTION POTENTIAL; ADULT; ARTICLE; ELECTROMYOGRAPHY; HUMAN; HUMAN EXPERIMENT; ISOMETRIC EXERCISE; MALE; MOTOR NERVE CONDUCTION; MOTOR UNIT; NORMAL HUMAN; PRIORITY JOURNAL; VASTUS LATERALIS MUSCLE; VASTUS MEDIALIS MUSCLE; INNERVATION; KNEE; MOTOR EVOKED POTENTIAL; PHYSIOLOGY; PROCEDURES; QUADRICEPS FEMORIS MUSCLE; SIGNAL NOISE RATIO; STANDARDS;

ADULT; ELECTROMYOGRAPHY; EVOKED POTENTIALS, MOTOR; HUMANS; KNEE; MALE; QUADRICEPS MUSCLE; SIGNAL-TO-NOISE RATIO;

EID: 84953431734     PISSN: 13882457     EISSN: 18728952     Source Type: Journal    
DOI: 10.1016/j.clinph.2015.10.065     Document Type: Article

References (38)

1. Albertus-Kajee Y., Tucker R., Derman W., Lambert M. Alternative methods of normalising EMG during cycling. J Electromyogr Kinesiol 2010, 20:1036-1043.
2. Andreassen S., Arendt-Nielsen L. Muscle fibre conduction velocity in motor units of the human anterior tibial muscle: a new size principle parameter. J Physiol 1987, 391:561-571.
3. Atkinson G., Nevill A.M. Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med 1998, 26:217-238.
4. Barbero M., Merletti R., Rainoldi A. Atlas of muscle innervation zones: understanding surface electromyography and its applications 2012, Springer Milan, New York.
5. Bartko J.J. The intraclass correlation coefficient as a measure of reliability. Psychol Rep 1966, 19:3-11.
6. Conwit R.A., Tracy B., Cowl A., McHugh M., Stashuk D., Brown W.F., et al. Firing rate analysis using decompostion-enhanced spike triggered averaging in the quadriceps femoris. Muscle Nerv 1998, 21:1338-1340.
7. Copay A.G., Subach B.R., Glassman S.D., Polly D.W., Schuler T.C. Understanding the minimum clinically important difference: a review of concepts and methods. Spine J 2007, 7:541-546.
8. De Luca C.J., Erim Z. Common drive of motor units in regulation of muscle force. Trends Neurosci 1994, 17:299-305.
9. De Luca C.J., Hostage E.C. Relationship between firing rate and recruitment threshold of motoneurons in voluntary isometric contractions. J Neurophysiol 2010, 104:1034-1046.
10. Dideriksen J.L., Gallego J.A., Holobar A., Rocon E., Pons J.L., Farina D. One central oscillatory drive is compatible with experimental motor unit behaviour in essential and Parkinsonian tremor. J Neural Eng 2015, 12:046019.
11. Duchateau J., Semmler J.G., Enoka R.M. Training adaptations in the behavior of human motor units. J Appl Physiol (1985) 2006, 101:1766-1775.
12. Enoka R.M., Fuglevand A.J. Motor unit physiology: some unresolved issues. Muscle Nerv 2001, 24:4-17.
13. Farina D., Cescon C., Merletti R. Influence of anatomical, physical, and detection-system parameters on surface EMG. Biol Cybern 2002, 86:445-456.
14. Farina D., Holobar A., Gazzoni M., Zazula D., Merletti R., Enoka R.M. Adjustments differ among low-threshold motor units during intermittent, isometric contractions. J Neurophysiol 2009, 101:350-359.
15. Farina D., Merletti R., Enoka R.M. The extraction of neural strategies from the surface EMG. J Appl Physiol (1985) 2004, 96:1486-1495.
16. Farina D., Muhammad W., Fortunato E., Meste O., Merletti R., Rix H. Estimation of single motor unit conduction velocity from surface electromyogram signals detected with linear electrode arrays. Med Biol Eng Comput 2001, 39:225-236.
17. Farina D., Negro F., Gazzoni M., Enoka R.M. Detecting the unique representation of motor-unit action potentials in the surface electromyogram. J Neurophysiol 2008, 100:1223-1233.
18. Gallego J.A., Dideriksen J.L., Holobar A., Ibanez J., Glaser V., Romero J.P., et al. The phase difference between neural drives to antagonist muscles in essential tremor is associated with the relative strength of supraspinal and afferent input. J Neurosci 2015, 35:8925-8937.
19. Hedayatpour N., Falla D., Arendt-Nielsen L., Vila-Cha C., Farina D. Motor unit conduction velocity during sustained contraction after eccentric exercise. Med Sci Sports Exercise 2009, 41:1927-1933.
20. Holobar A., Farina D., Gazzoni M., Merletti R., Zazula D. Estimating motor unit discharge patterns from high-density surface electromyogram. Clin Neurophysiol 2009, 120:551-562.
21. Holobar A., Glaser V., Gallego J.A., Dideriksen J.L., Farina D. Non-invasive characterization of motor unit behaviour in pathological tremor. J Neural Eng 2012, 9:056011.
22. Holobar A., Minetto M.A., Botter A., Negro F., Farina D. Experimental analysis of accuracy in the identification of motor unit spike trains from high-density surface emG. IEEE Trans Neural Syst Rehabil Eng 2010, 18:221-229.
23. Holobar A., Minetto M.A., Farina D. Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric. J Neural Eng 2014, 11:016008.
24. Holobar A., Zazula D. Multichannel blind source separation using convolution kernel compensation. IEEE Trans Signal Process 2007, 55:4487-4496.
25. Kleine B.U., van Dijk J.P., Lapatki B.G., Zwarts M.J., Stegeman D.F. Using two-dimensional spatial information in decomposition of surface EMG signals. J Electromyogr Kinesiol 2007, 17:535-548.
26. Laine C.M., Martinez-Valdes E., Falla D., Mayer F., Farina D. Motor neuron pools of synergistic thigh muscles share most of their synaptic input. J Neurosci 2015, 35:12207-12216.
27. Li X., Holobar A., Gazzoni M., Merletti R., Rymer W.Z., Zhou P. Examination of poststroke alteration in motor unit firing behavior using high-density surface emg decomposition. IEEE Trans Biomed Eng 2015, 62:1242-1252.
28. Marateb H.R., McGill K.C., Holobar A., Lateva Z.C., Mansourian M., Merletti R. Accuracy assessment of CKC high-density surface EMG decomposition in biceps femoris muscle. J Neural Eng 2011, 8:066002.
29. Masuda T., Miyano H., Sadoyama T. The position of innervation zones in the biceps brachii investigated by surface electromyography. IEEE Trans Biomed Eng 1985, 32:36-42.
30. Merletti R., Holobar A., Farina D. Analysis of motor units with high-density surface electromyography. J Electromyogr Kinesiol 2008, 18:879-890.
31. Moritz C.T., Barry B.K., Pascoe M.A., Enoka R.M. Discharge rate variability influences the variation in force fluctuations across the working range of a hand muscle. J Neurophysiol 2005, 93:2449-2459.
32. Negro F., Holobar A., Farina D. Fluctuations in isometric muscle force can be described by one linear projection of low-frequency components of motor unit discharge rates. J Physiol 2009, 587:5925-5938.
33. Piitulainen H., Holobar A., Avela J. Changes in motor unit characteristics after eccentric elbow flexor exercise. Scand J Med Sci Sports 2012, 22:418-429.
34. Rainoldi A., Falla D., Mellor R., Bennell K., Hodges P. Myoelectric manifestations of fatigue in vastus lateralis, medialis obliquus and medialis longus muscles. J Electromyogr Kinesiol 2008, 18:1032-1037.
35. Semmler J.G. Motor unit synchronization and neuromuscular performance. Exercise Sports Sci Rev 2002, 30:8-14.
36. Sherrington C. Remarks on some aspects of reflex inhibition. Proc R Soc London B Biol Sci 1925, 97:519-545.
37. Vila-Cha C., Falla D., Farina D. Motor unit behavior during submaximal contractions following six weeks of either endurance or strength training. J Appl Physiol (1985) 2010, 109:1455-1466.
38. Watanabe K., Gazzoni M., Holobar A., Miyamoto T., Fukuda K., Merletti R., et al. Motor unit firing pattern of vastus lateralis muscle in type 2 diabetes mellitus patients. Muscle Nerv 2013, 48:806-813.