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Endurance Capacity of the Biceps Brachii Muscle Using the High-to-Low Ratio between Two Signal Spectral Moments of Surface EMG Signals during Isotonic Contractions

  • Lee, Sang-Sik (Dept. of Biomedical Engineering, Catholic Kwandong University) ;
  • Jang, Jee-Hun (Dept. of Sport and Leisure Studies, Catholic Kwandong University) ;
  • Cho, Chang-Ok (Korea Paralympic Committee) ;
  • Kim, Dong-Jun (Dept. of Electronic Engineering, Cheongju University) ;
  • Moon, Gun-Pil (Dept. of Sport and Leisure Studies, Catholic Kwandong University) ;
  • Kim, Buom (Dept. of Sports Guidance, Daelim University) ;
  • Choi, Ahn-Ryul (Dept. of Biomedical Engineering, Catholic Kwandong University) ;
  • Lee, Ki-Young (Dept. of Biomedical Engineering, Catholic Kwandong University)
  • Received : 2016.03.21
  • Accepted : 2017.03.27
  • Published : 2017.07.01

Abstract

Many researchers had examined the validity of using the high-to-low ratio between two fixed frequency band amplitudes (H/L-FFB) from the surface electromyography of a face and body as the first spectral index to assess muscle fatigue. Despite these studies, the disadvantage of this index is the lack of a criterion for choosing the optimal border frequency. We tested the potential of using the high-to-low ratio between two signal spectral moments (H/L-SSM), without fixed border frequencies, to evaluate muscle fatigue and predict endurance time ($T_{end}$), which was determined when the subject was exhausted and could no longer follow the fixed contraction cycle. Ten healthy participants performed five sets of voluntary isotonic contractions until they could only produce 10% and 20% of their maximum voluntary contraction (MVC). The $T_{end}$ values for all participants were $138{\pm}35s$ at 10% MVC and $69{\pm}20s$ at 20% MVC. Changes in conventional spectral indices, such as the mean power frequency (MPF), Dimitrov spectral index (DSI), H/L-FFB, and H/L-SSM, were extracted from surface EMG signals and were monitored using the initial slope computed every 10% of $T_{end}$ as a statistical indicator and compared as a predictor of $T_{end}$. Significant correlations were found between $T_{end}$ and the initial H/L-SSM slope as computed over 30% of $T_{end}$. In conclusion, initial H/L-SSM slope can be used to describe changes in the spectral content of surface EMG signals and can be employed as a good predictor of $T_{end}$ compared to that of conventional spectral indices.

Keywords

References

  1. Bazzucchi I., Marchetti M., Rosponi A., Fattorini L., Castellano V., Sbriccoli P. and Felici F., "Difference in the Force/Endurance Relationship between Young and Older Men," Eur. J. Applied Physiology, vol. 93, no. 4, pp. 390-397, 2004. https://doi.org/10.1007/s00421-004-1277-0
  2. B. Bigland-Ritchie, E. F. Donovan and C. S. Roussos., "Conduction Velocity and EMG Power Spectrum Changes in Fatigue of sustained maximal efforts," J. Applied Physiology, vol. 51, no. 5, pp. 1300-1305, 1981. https://doi.org/10.1152/jappl.1981.51.5.1300
  3. Gandevia SC., "Spinal and Supraspinal Factors in Human Muscle Fatigue," Physiol. Rev., vol. 81, no. 4, pp. 1725-1789, 2001. https://doi.org/10.1152/physrev.2001.81.4.1725
  4. Merletti R. and Roy SH., "Myoelectrical and Mechanical Manifestations of Muscle Fatigue in Voluntary Contractions," J. Orthop. Sports Phys. Ther., vol. 24, no. 6, pp. 342-353, 1996. https://doi.org/10.2519/jospt.1996.24.6.342
  5. Masuda K., Masuda T., Sadoyama T., Inaki M. and Katsuta S., "Changes in Surface EMG Parameters during Static and Dynamic Fatiguing Contractions," J. Electromyography and Kinesiology, vol. 9, no. 1, pp. 39-46, 1999. https://doi.org/10.1016/S1050-6411(98)00021-2
  6. Karlsson JS., Ostlund N., Larsson B. and Gerdle B., "An Estimation of the Influence of Force Decrease on the Mean Power Spectral Frequency Shift of the EMG during repetitive Maximum Dynamic Knee Extensions," J. Electromyography and Kinesiology, vol. 13, no. 5, pp. 461-468, 2003. https://doi.org/10.1016/S1050-6411(03)00063-4
  7. Moxham J., Edward RH., Aubier M., De Troy A., Farkas G., Macklem PT. and Rousses C., "Changes in EMG Power Spectrum (high-to-low ratio) with Force Fatigue in Humans," J. Appl. Physiol., vol. 53, no. 5, pp. 1094-1099, 1982. https://doi.org/10.1152/jappl.1982.53.5.1094
  8. F. Bellemare and A. Grassino, "Evaluation of Human Diaphragm Fatigue," J. Appl. Physiol., vol. 53, no. 5, pp. 1196-1206, 1982. https://doi.org/10.1152/jappl.1982.53.5.1196
  9. Maisetti, O., Guevel, A., Legros, P. and Hogrel, J. Y., "Prediction of Endurance Capacity of Quadriceps Muscles in Humans using Surface Electromyogram Spectrum Analysis during Submaximal Voluntary Isometric Contraction," Eur J. Applied Physiology, vol. 87, no. 6, pp. 509-519, 2002. https://doi.org/10.1007/s00421-002-0645-x
  10. Lee K., Shin K., Kim H., Mun J., "Estimating Muscle Fatigue of the Biceps Brachaii using High to Low Band Ratio in EMG during Isotonic Exercise," International Journal of Precision Engineering and Manufacturing, vol. 10, no. 3, pp. 147-153, 2009. https://doi.org/10.1007/s12541-009-0060-x
  11. Arabadzhiev TI., Dimitrov GV. and Dimitrova, NA., "Simulation Analysis of the Performance of a Novel High Sensitive Index for Quantifying M-wave Spectral Changes during Fatigue," J. Electromyography and Kinesiology, vol. 15, no. 2, pp. 149-158, 2005. https://doi.org/10.1016/j.jelekin.2004.08.003
  12. Arabadzhiev TI., Dimitrov GV. and Dimitrova, NA., "Intracelluar Action Potential Generation and Extinction Strongly Affect the Sensitivity of M-wave Characteristic Frequencies to Changes in the Peripheral Parameters with Muscle Fatigue," J. Electromyography and Kinesiology, vol. 15, No 2, pp. 159-169, 2005. https://doi.org/10.1016/j.jelekin.2004.08.001
  13. L. Lindstrom, R. Kadefors and I. Petersen, "An electromyographic index for localized muscle fatigue," J. Appl. Physiol., vol. 43, no. 4, pp. 750-754, 1977. https://doi.org/10.1152/jappl.1977.43.4.750
  14. Foster B. Stulen and Carlo J. De Luca, "Frequency Parameters of the Myoelectric Signal as a Measure of Muscle Conduction Velocity," IEEE Trans. Biomed. Eng., vol. 28, no 7, pp. 515-523, 1981.
  15. Van Dieen JH., Heijblom, P. and Bunkens H., "Extrapolation of Time Series of EMG Power Spectrum Parameters in Isometric Endurance Tests of Trunk Extensor Muscles," J. Electromyography and Kinesiology, vol. 8, No 1, pp. 35-44, 1998. https://doi.org/10.1016/S1050-6411(97)00003-5
  16. Iridiastadi H. and Nussbaum MA., "Muscle Fatigue and Endurance during Repetitive Intermittent Static Efforts: Development of Prediction Models," Ergonomics, vol. 49, no. 4, pp. 344-360, 2006. https://doi.org/10.1080/00140130500475666
  17. Boyas S., Maisetti O., Guevel A., "Changes in sEMG Parameters among Trunk and Thigh Muscles during a Fatiguing Bilateral Isometric Multi-joint Task in Trained and Untrained Participants," J. Electromyography and Kinesiology, vol. 19, no. 2, pp. 259-268, 2009. https://doi.org/10.1016/j.jelekin.2007.09.002
  18. Chesler NC. and Durfee WK., "Surface EMG as a Fatigue indicatopr during FES-induced isometric muscle contractions," J. Electromyography and Kinesiology, vol. 7, no. 1, pp. 27-37, 1997. https://doi.org/10.1016/S1050-6411(96)00016-8
  19. Dimitrov GV., Arabadzhiev TI., Mileva KN., Bowtell JL., Crichton N. and Dimitrova NA., "Muscle Fatigue during Dynamic Contractions Assessed by New Spectral Indices," Med. Sci. Sports Exercise, vol. 38, no. 11, pp. 1971-1979, 2006. https://doi.org/10.1249/01.mss.0000233794.31659.6d
  20. Gonzalez-Izal M., Malanda A., Navarro-Amezqueta I., Gorostiaga EM., Mallor F., Ibanez J. and Izquierdo M., "EMG Spectral Indices and Muscle Power Fatigue during Dynamic Contractions," J. Electromyography and Kinesiology, vol. 20, no. 2, pp. 233-240, 2010. https://doi.org/10.1016/j.jelekin.2009.03.011
  21. Markku KankaanpEi, David Luaksonen, Simo Olavi Airaksinen, Osmo Hiiltninen, "Age, Sex, and Body Mass Index as Determinants of Back and Hip Extensor Fatigue in the Isometric Sfirensen Back Endurance Test," Arch Phys Med Rehabil, vol. 79, no. 9, pp. 1069-1075, 1998. https://doi.org/10.1016/S0003-9993(98)90173-3
  22. Anthony R. Humphrey, Antoni V. F. Nargol, Anthony P. C. Jones, Amy A. Ratcliffe, and Charles G. Greenough, "The value of electromyography of the lumbar paraspinal muscles in discriminating between chronic-low-back-pain sufferers and normal subjects," Eur Spine J., vol. 14, no. 2, pp. 175-184, 2005. https://doi.org/10.1007/s00586-004-0792-3
  23. Miura, Tatsuhiro, Sakuraba, Keishoku, "Properties of Force Output and Spectral EMG in Young Patients with Nonspecific Low Back Pain during Isometric Trunk Extension," J. Phys. Ther. Sci., vol. 26, no. 3, pp. 323-329, 2014. https://doi.org/10.1589/jpts.26.323
  24. Dimitrova NA., Arabadzhiev TI., Hogrel JY. and Dimitrov GV., "Fatigue Analysis of Interference EMG Signals Obtained from Biceps Brachii during Isometric Voluntary Contraction at Various Force Levels," J. Electromyography and Kinesiology, vol. 19, no. 2, pp. 252-258, 2009. https://doi.org/10.1016/j.jelekin.2007.08.007
  25. Hojun Yeom, Hodong Park, Young-Hui Chang, Youngchol Park and Kyoung-Joung Lee, "Stimulus Artifact Suppression Using the Stimulation Synchronous Adaptive Impulse Correlated Filter for Surface EMG Application", J. Electrical Engineering & Technology, vol. 7, no. 3, pp. 451-458, 2012. https://doi.org/10.5370/JEET.2012.7.3.451
  26. De Luca CJ., "The Use of Surface Electromyography in Biomechanics," J. Applied Biomechanics, vol. 13, no. 2, pp. 135-163, 1997. https://doi.org/10.1123/jab.13.2.135
  27. Allison GT., Fujiwara T., "The Relation between EMG Median Frequency and Low Frequency Band Amplitude Changes at Different Levels of Muscle Capacity," Clinical Biomechanics, vol. 17, no. 6, pp. 464-469, 2002. https://doi.org/10.1016/S0268-0033(02)00033-5
  28. Bonato P., Gagliati G. and Knaflitz M., "Analysis of Myoelectric Signals Recorded during Dynamic Contractions," IEEE Eng. Med. Biol. Mag., vol. 15, no. 6, pp. 102-111, 1996. https://doi.org/10.1109/51.544517
  29. Bonato P., Roy SH., Knaflitz M. and De Luca CJ., "Time-frequency Parameters of the Surface Myoelectric Signal for Assessing Muscle Fatigue during Cyclic Dynamic Contractions," IEEE Trans. Biomed. Eng., vol. 48, no. 7, pp. 745-753, 2001. https://doi.org/10.1109/10.930899
  30. Farina D., "Interpretation of the Surface Electromyogram in Dynamic Contractions," Exercise Sport. Sci. Rev., vol. 34, no. 3, pp. 121-127, 2006. https://doi.org/10.1249/00003677-200607000-00006
  31. Lee K., Lee S, Choi A., Choi C. and Mun J., "Endurance Time Prediction of the Biceps Brachaii Muscle using Dimitrov spectral index of Surface Electromyogram during Isotonic Contractions," International Journal of Precision Engineering and Manufacturing, vol. 12, no. 4, pp. 711-717, 2011. https://doi.org/10.1007/s12541-011-0092-x
  32. Gonzalez-Izal M., Rodriguez-Carreno I., Mallor-Gimenez F., Malanda A. and Izquierdo M., "New Wavelet Indices to Assess Muscle Fatigue during Dynamic Contractions," World Academic of Science, Engineering and Technology, vol. 55, pp. 480-485, 2009.
  33. MacIssac D., Parker PA. and Scott RN., "The Shorttime Fourier Transform and Muscle Fatigue Assessment in Dynamic Contractions," J. Electromyography and Kinesiology, vol. 11, no. 6, pp. 439-449, 2001. https://doi.org/10.1016/S1050-6411(01)00021-9
  34. Coorevits P., Danneels L., Cambier D., Ramon H., Druyts H., Karlsson JS., De Moor G. and Vanderstraeten G., "Test-retest Reliability of Wavelet- and Fourier based EMG (instantaneous) Median Frequencies in the Evaluation of Back and Hip Muscle Fatigue during Isometric Back Extensions," J. Electromyography and Kinesiology, vol. 18, no. 5, pp. 798-806, 2008. https://doi.org/10.1016/j.jelekin.2007.01.007
  35. Dimitrova NA. and Dimitrov GV., "Interpretation of EMG Changes with Fatigue: Facts, Pitfalls, and Fallacies," J. Electromyography and Kinesiology, vol. 13, no. 1, pp. 13-36, 2003. https://doi.org/10.1016/S1050-6411(02)00083-4
  36. Cheng AJ., Rice CL., "Fatigue and Recovery of Power and Isometric Toque Following Isotonic Knee Extensions," J. Applied Physiology, vol. 99, no. 4, pp. 1446-1452, 2005. https://doi.org/10.1152/japplphysiol.00452.2005
  37. Christensen H., Sorgaard K., Jensen BR., Finsen L. and Sjorgaard G., "Intramuscular and Surface EMG Power Spectrum from Dynamic and Static Contractions," J. Electromyography and Kinesiology, vol. 5, no. 1, pp. 27-36, 1995. https://doi.org/10.1016/S1050-6411(99)80003-0