A Study on the Estimation of Motor Unit Information using Surface EMG

표면 근전도를 이용한 운동단위의 정보추정에 관한 연구

  • 김성환 (서울시립대 전자전기컴퓨터공학부) ;
  • 이호용 (서울시립대 전자전기컴퓨터공학부) ;
  • 손동일 (서울시립대 전자전기컴퓨터공학부) ;
  • 정철기 (서울시립대 전자전기컴퓨터공학부) ;
  • 고도영 (한국 수력 원자력(주) 원자력환경기술원)
  • Published : 2007.11.01

Abstract

In this study, we present a novel method for estimating the information of MU(motor unit) which is the basic element of human muscle by using surface EMG. Some of the method developed in this field could only estimate the numbers of MU that is activated. However, in our study the MU-simulator based on the line source model was designed to estimate the MU information including the numbers of MU and muscle fiber, conduction velocity, MU diameter, fiber diameter, and end plate position. The SMUAP(single motor unit action potential) detector was designed and CMAP(compound muscle action potential) by electrical stimulus was recorded. With these data, the MU-simulator can estimate the MU information by varying muscle paramater settings through MSE(mean square error) method. Our results shows that the proposed method can be comparable with the method of anatomical studies. Moreover, our system can be utilized to build a tool for diagnosis and treatment assessment of neuromuscular patients.

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 https://doi.org/10.1109/TBME.1979.326534
  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. Ping Zhou, W. Zev Rymer, Nina Suresh & Linqun Zhang, 'A Study of Surface Motor Unit Action Potentials in First dorsal Interosseus(FDl) Muscle', IEEE EMBS conference, pp. 1074-1077, 2001
  4. A. Aggarwal and G. Nicholson, 'Detection of preclinical motor neurone loss in SODI 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 https://doi.org/10.1093/ptj/73.12.868
  6. Doherty T J and Brown WF, '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. Kazuhiko Seki, Mitsuo Narusawa, '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 https://doi.org/10.1109/TBME.2004.834281
  9. Lora A Major and Kelvin E Jones, '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
  10. 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
  11. 김성환, 김태훈, 조일준, 유세근, '전기자국에 대한 턱근육의 억제반사 메카니즘의 모델링에 관하 연구', 대한전기학회, 제 52D, 제 9호, pp. 560-567, 2003
  12. Bjorn Hammarberg and Erik Stalberg, 'Novel Ideas for Fast Muscle Action Potential Simulations Using the Line Source Model', IEEE Trans. on Biomed Eng., vol. 51, No. 11, 2004
  13. Madeleine M. Lowery, Christopher L. Vaughan, Philip J. Nolan, and Mark J. O'Malley, 'Spectral Compression of the Electromyographic Signal due to Decreasing Muscle Fiber Conduction Velocity', IEEE Trans. on Rehabilitation Eng, Vol. 8, No.3, September 2000
  14. S. Andreassen, A. Rosenfalck, 'Relationship of intracellular and extracellular action potential of skeletal muscle fiber', CRC Crit. Rev. Bioeng., vol. 13, pp. 267-306, 1985
  15. D. Farina, R. Merletti, 'An experiment and model based investigation of the potential and limitations of surface EMG spectral analysis for assessment of motor unit recruitment strategy', IEEE, Proceedings of the 23rd Annual International Conference, Vol. 2, pp. 1209-1212, 200l
  16. S. D. Nandedkar and E. stalberg, 'Simulation of single fiber action potentials', Med. Biol. Eng. Comput., vol. 21, pp. 158-165, 1983 https://doi.org/10.1007/BF02441531
  17. D. W. Stashuk, 'Simulation of electgromyographic signal', J. Electromyogra. Kinesiol., vol. 3, pp. 157 -173, 1993 https://doi.org/10.1016/S1050-6411(05)80003-3
  18. J. H. Blok, D. F. Stegeman, A. Van Oosterom, 'Three-Layer Volume Conductor Model and Software Package for Applications in Surface Electromyography', Annals of Biomedical Engineering, Vol. 30, pp. 566-577, 2002 https://doi.org/10.1114/1.1475345
  19. 김성환, 이태우, 고동영, 정철기, 김인수, 강원희, 이호용, '표면근전도를 이용한 허리근육 평가시스템의 설계에 관한 연구', 대한전기학회, vol. 54D, no. 5, pp. 338-347, 2005
  20. Farina, Dario, Mauro Fosci, and Roberto 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
  21. Catherine Disselhorst-Klug, Jiri Silny, Gunter 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
  22. DJ Roberson, WZ Rymer, 'Decomposition of low force, simulated EMG using wavelets', IEEE BMES/EMBS conference, pp 576, 1999
  23. M. Calder, Ann. Hall, M. Lester, J. Greig Inglis, A. Gabrial, 'Reliability of the biceps brachill M-wave', Journal of Neural Engineering and Rehabilitation., vol 2, pp. 1-8, 2005
  24. Stalberg E, Trontelj JV, 'Single fiber electromyography', Old Woking (UK), The Mirvalle Press, 1979