Journal of the Institute of Electronics Engineers of Korea SC (전자공학회논문지SC)

The Institute of Electronics and Information Engineers (대한전자공학회)
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A Study on Estimation of Numbers of Motor Unit related to the Widths and Distribution of Endplate in Neuromuscular Junction

신경근육 접합부의 종판 폭과 분포에 따른 운동단위 수의 추정에 관한 연구

  • Lee, Ho-Yong (School of Electrical and Computer Engineering, University of Seoul) ;
  • Kim, Duck-Young (Department of Electronics, University of Bucheon) ;
  • Park, Jung-Ho (QLogic) ;
  • Jung, Chul-Ki (School of Electrical and Computer Engineering, University of Seoul) ;
  • Kim, Sung-Hwan (School of Electrical and Computer Engineering, University of Seoul)
  • 이호용 (서울시립대학교 전자전기컴퓨터공학부) ;
  • 김덕영 (부천대학 전자과) ;
  • 박중호 ;
  • 정철기 (서울시립대학교 전자전기컴퓨터공학부) ;
  • 김성환 (서울시립대학교 전자전기컴퓨터공학부)
  • Received : 2011.02.08
  • Accepted : 2011.07.16
  • Published : 2011.09.25
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Abstract

In this paper, a new method to estimate the number of MU (motor unit) related to the widths and distribution of end plate in NMJ (neuromuscular junction) of biceps brachii is proposed by varying muscle parameter statistically in EMG model. This work is done by designing MU-simulator and EPZ-simulator. The proposed method was compared with the results of previous researchers. The proposed MU-simulator generates SMUAP (single motor unit action potential) and CMAP (compound muscle action potential) signal similar to detected SMUAP and CMAP signal obtained from muscle. The EPZ-simulator estimate the numbers of MU by varying the widths and distribution of end plate in neuromuscular junction of muscle. The results shows that the numbers of MU was estimated about 450 ea. and muscle fibers was about 340 ea., end plate widths was about 6 mm, and end plate was randomly distributed. The proposed method may be comparable with the method of anatomical studies.

본 논문에서는 표면 근전도(surface electromyogram : SEMG)와 근육모델링을 이용하여 신경근육 접합부(neuromuscular junction, NMJ)의 종판(end plate) 폭(widths)과 분포(distribution)에 따른 운동단위(motor unit, MU)수를 추정하는 새로운 방법을 제안하였다. 이를 위하여 MU-시뮬레이터(motor unit simulator)와 EPZ-시뮬레이터(end plate zone simulator)를 설계하고, 본 연구에서 제안된 방법과 기존방법들을 비교하였다. 제안된 MU-시뮬레이터로 시뮬레이션 된 SMUAP(single motor unit action potential : 단일운동단위활동전위)와 CMAP(compound muscle action potential : 복합근활동전위)은 검출된 근신호와 유사하였다. EPZ-시뮬레이터는 신경근육 접합부의 종판 폭과 분포를 바꾸어 가면서 운동단위수를 추정하기 위하여 설계하였다. 실험결과 운동단위 수는 약 450 개, 근섬유수 약 340 개, 종판 폭은 약 6 mm이고, 종판분포는 불규칙하게 분포된 것 (randomly distributed)으로 추정되었다. 본 연구에서 제안된 방법은 인간 근육의 생체조직검사로 측정한 운동단위의 수와 비교 가능한 결과가 나왔다.

Keywords

References

  1. C. J. De Luca, "Physiology and Mathemtics of Myoelectric Signals", IEEE Trans. Biomed. Eng., Vol. BME-26, No. 6, pp. 313-325, 1979.
  2. K. Roeleveld, J. H. Blok, D. F. Stegeman and A. van Oosterom, "Volume Conduction Models for Surface EMG; Confrontation with Measurements", J. Electromyogr. Kinesiol. Vol. 7, No. 4, pp. 221-232, 1997. https://doi.org/10.1016/S1050-6411(97)00009-6
  3. P. Zhou, W. Z. Rymer, N. Suresh and L. Zhang, "A Study of Surface Motor Unit Action Potentials in First dorsal Interosseus (FDI) Muscle", IEEE EMBS conference, pp. 1074-1077, 2001.
  4. A. Aggarwal and G. Nicholson, "Detection of preclinical motor neurone loss in SOD1 mutation carriers using motor unit number estimation", J. Neurol. Neurosurg. Psychiatry 73; pp. 199-201, 2002. https://doi.org/10.1136/jnnp.73.2.199
  5. J. McComas, "Motor unit Populations in Healthy and Diseased Muscles", Physical therapy., vol 73, pp. 868-877, 1993.
  6. T. J. Doherty, W. F. Brown, "The estimated numbers and relative sizes of thenar motor unit as selected by multiple point stimulation in young and older adults", Muscle Nerve 16, pp. 355-66, 1993. https://doi.org/10.1002/mus.880160404
  7. S. Kazuhiko and N. Mitsuo, "Relation Between the Size of Motor Units and the Spectral Characteristics of their Action Potentials", Electroencephalography and clinical Neurophysiology 109 pp. 436-443, 1998. https://doi.org/10.1016/S0924-980X(98)00047-2
  8. D. Nandedka, S. Nandedka, E. Barkhaus, V. Stalberg, "Motor Unit Number Index(MUNIX)", IEEE Trans. on Biomed. Eng., vol 51, No. 51, pp. 2209-2211, 2004.
  9. J. Duchene, J. Y. Hogrel, "A Model of EMG Generation", IEEE Trans. on Biomed. Eng., vol 47, No. 2, pp. 192-201, 2000. https://doi.org/10.1109/10.821754
  10. J. H. Park, H. Y. Lee, C. K. Jung, J. Lee, S. H. Kim, "A Study on Estimation of Motor Unit Location of Biceps Brachii Muscle using Surface Electromyogram", IEEK, 47-SC-3, pp. 28-39, 2010.5.
  11. B. Hammarberg and E. Stalberg, "Novel Ideas for Fast Muscle Action Potential Simulations Using the Line Source Model", IEEE Trans. on Biomed Eng., vol. 51, No. 11, 2004.
  12. S. M. Aquilonius, H. Askmark, P. G. Gillberg, S. Nandedkar, Y. Olsson and E. Stalberg, "Topographical Localization of Motor Endplate in Cryosections of whole Human Muscles," Muscle & Nerve., 7 : 287-293, 1984. https://doi.org/10.1002/mus.880070406
  13. P.A.M. Griep, K. L. Boon, and D. F. Stegeman, "A Study of the Motor Unit Action Potential by Means of Computer Simulation," Biol. Cybermetics, vol. 30, pp.221-230, 1978. https://doi.org/10.1007/BF00361043
  14. A. M. Lora and E. J. Kelvin, "Simulations of Motor Unit Number Estimation Techniques," Journal of Neural Engineering., vol 2, pp. 17-34, 2005. https://doi.org/10.1088/1741-2560/2/2/003
  15. S. K. Yoo, D. H. Youm, H. Y. Lee and S. H. Kim, "A Study on the Low Force Estimation of Skeletal Muscle by using ICA and Neuro-transmission Model," Trans. KIEE. vol. 56, No. 3, MAR, pp. 632-640, 2007.
  16. D. Farina, F. Mauro and R. Merletti, "Motor unit recruitment strategies investigated by surface EMG variables", J Appl Physiol, 92: pp. 235-247, 2002. https://doi.org/10.1063/1.1481974
  17. D. K. Catherine, S. Jiri, G. Rau, "Estimation of the relationship between the noninvasively detected activity of single motor units and their characteristic pathological changes by modelling", Journal of Electromyography and Kinesiology 8 pp. 323-335, 1998. https://doi.org/10.1016/S1050-6411(98)00015-7
  18. D. J. Roberson, W. Z. Rymer, "Decomposition of low force, simulated EMG using wavelets", IEEE BMES/EMBS conference, pp 576, 1999.
  19. M. Calder, A. Hall, M. Lester, J. G. Inglis and A. Gabrial, "Reliability of the Biceps Brachill M-wave,"Journal of Neural Engineering and Rehabilitation", vol 2, pp. 1-8, 2005.
  20. J. J. M. Kierkels, "Muscle Motor Unit Conduction Velocity," Eindhoven University of Technology Department of BioMedical Engineering BioSignals & Regulation, 2002.
  21. S. K. Cliff, D. M. Greg, J. P. Robert and L. R. Charles, "Muscle Fiber Number in the Biceps Brachii Muscle of Young and Old Men," Muscle & Nerve., vol. 28 Issue 1, Pages 62-68, 2003. https://doi.org/10.1002/mus.10386
  22. S. M. Aquilonius, H. Askmark, P. G. Gillberg, S. Nandedkar, Y. Olsson and E. Stalberg, "Topographical Localization of Motor Endplate in Cryosections of whole Human Muscles," Muscle & Nerve., 7 : 287-293, 1984. https://doi.org/10.1002/mus.880070406
  23. A. Amirali, L. Mu, J. M. Gracies, and D. M. Simpson, "Anatomical Localization of Motor Endplate Bands in the Human Biceps Brachii," Journal of Clinical Neuromuscular Disease : December Volume 9 Issue 2.,pp 306-312, 2007. https://doi.org/10.1097/CND.0b013e31815c13a7