The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Comparison of Algorithms Estimating Linear Regression Line from Surface EMG Signals

표면 근전도 신호로부터 선형회귀 직선 추정 알고리즘들의 비교

  • 이진 (강원대학교 삼척캠퍼스 제어계측공학과) ;
  • 권혁목 (강원대학교 삼척캠퍼스 제어계측공학과)
  • Published : 2008.03.01
Download PDF
⟨ Previous Next ⟩

Abstract

Many signal processing techniques have been described in the literature for estimating amplitude, frequency and duration variables of the surface EMG signal detected during constant voluntary contractions. They have been used in different application areas for the non-invasive assessment of muscle function. The main purpose of our research is to compare the most frequently used algorithms for information extraction from surface EMG signals under varying conditions in terms of the different window lengths, muscle contraction levels, muscles and subjects. In particular we focus on the issue of estimating the slope and intercept to resolve an linear regression line with utilizing real SEMG signals which represents voluntary contractions during thirty seconds.

Keywords

References

  1. J. V. Basmajian and C. J. De Luca, Muscles alive : Their functions revealed by electromyography., Baltimore, MD, Williams & Wilkins, 1985.
  2. H.J. Hermens, K.L. Boon, G. Zilvold, " The clinical use of surface EMG", Electromyogr. Clin. Neurophysiol., vol. 57, pp. 243-265, 1984.
  3. R. Merletti, " Surface electromyography: possibilities and limitations," J. Rehab. Sci., vol. 7, 24-34, 1994.
  4. R. Merletti and L.R. Lo Conte," Surface EMG signal processing during isometric contraction," J. Electromyogr. Kinesiol., vol. 7, No. 4, pp. 241-250, 1997. https://doi.org/10.1016/S1050-6411(97)00010-2
  5. D. Farina and R. Merletti," Comparison of algorithms for estimation of EMG variables during voluntary isometric contraction," J. Electromyogr. Kinesiol., vol. 10, pp. 337-349, 2000. https://doi.org/10.1016/S1050-6411(00)00025-0
  6. R. Merletti and L.R. Lo Conte," Advances in processing of surface myoelectric signal processing, Part I and Part II," Med. Biol. Eng. Comput., vol. 33, 362-384, 1995. https://doi.org/10.1007/BF02510518
  7. 이진, 강원희, 김성환, "T/A 변수를 이용한 표면근전도 간섭패턴의 정량적 해석에 관한 연구 ", 대한전기학회지, 제54D권, 제5호, pp.348-357, 2005.
  8. 이진, 양희원, 정의곤, " 일정한 자의 수축시 표면 근전도 신호에 대한 Spike 변수 해석 ", 대한전기학회지, 제56권, 제4호, pp. 809-816 , 2007.
  9. D.A. Gabriel, J.R. Basford, K.N An, "Assessing fatigue with electromyographic spike parameters", IEEE Eng. in Medicine and Biology Magazine, pp. 90-96, Nov./Dec., 2001.
  10. A. Papoulis, Probability, random variables and stochastic processes, Mcgraw-Hill, NY, 1965.
  11. http://www.delsys.com
  12. C. M. Thompson and L. Shure, Matlab and Simulink User's Guide, T Mathworks Inc., 2002.