Effect of Normalization Methods on the Reliability of EMG during Stair Negotiation and Ramp Walking

Document Type : Original article

Authors

1 Department of Biomechanics, Faculty of Mechanical Engineering, Sahand University of Technology, Tabriz, Iran

2 Faculty of Rehabilitation, Tabriz University of Medical Sciences, Tabriz, Iran

Abstract

Background and Aim: Due to the variability of the Electromyography (EMG) signals in different individuals, the signals need to be normalized to a reference signal in order to enable comparisons between individuals. The aim of the present study was to determine the reliability of EMG of lower extremity muscles in five signal normalization methods.
Materials and Methods: A total of 14 healthy individuals ascended and descended a set of stairs and a ramp. Each task was repeated six times. Surface EMGs of the Vastus Medialis (VM), Vastus Lateralis (VL), Rectus Femuris (RF), and Tibialis Anterior (TA) muscles were recorded during each exercise and the isometric Maximum Voluntary Contraction (MVC) of the muscles. Electromyography signals were normalized using five different methods. The reference signal for the normalization was corresponding signal of each muscle in MVC, Mean Dynamic Task (MT), Peak Dynamic Task Activity (PT), Mean of Raw Signal (MT-raw), and Peak of Raw Signal (PT-raw).
Results: The MVC method showed the highest reliability and the lowest standard measurement error (SEM). The averages obtained for ICC and SEM for the MVC method in different activities were 0.74 and 4.8, respectively. Also, the MT method showed the lowest reliability and the highest error. The averages obtained for ICC and SEM in different exercises were found to be 0.15 and 88.43, respectively. Although PT, PT-raw, and MT-raw methods showed a similar and average reliability (0.33< ICC<0.39), the MT-raw method showed a low error (high absolute reliability).
Conclusion: In conclusion, MVC demonstrated the highest reliability; therefore, it is suggested as the best normalization method for young healthy people during stair up and ramp walking.

Keywords

Main Subjects


  1. Konrad P. The ABC of EMG. A practical introduction to kinesiological electromyography. 2005;1:30-5.
  2. De Luca CJ. The use of surface electromyography in biomechanics. Journal of applied biomechanics. 1997;13:135-63.##
  3. Chowdhury RH, Reaz MB, Ali MABM, Bakar AA, Chellappan K, Chang TG. Surface electromyography signal processing and classification techniques. Sensors. 2013;13(9):12431-66. ##
  4. Burden A. How should we normalize electromyograms obtained from healthy participants? What we have learned from over 25years of research. Journal of Electromyography and Kinesiology. 2010;20(6):1023-35. ##
  5. Burden A, Bartlett R. Normalisation of EMG amplitude: an evaluation and comparison of old and new methods. Medical engineering & physics. 1999;21(4):247-57. ##
  6. Halaki, Mark, and Karen Ginn. "Normalization of EMG Signals: To Normalize or Not to Normalize and What to Normalize to?." CURRENT APPLICATIONS AND FUTURE CHALLENGES (2012): 175. ##
  7. Merletti R, Wallinga W, Hermens HJ, Freriks B. Guidelines for reporting SEMG data. In: Hermens HJ, Freriks B, Merletti R, Stegman D, Blok J, Rau G, Disselhorst-Klug C, Hagg G, editors. European recommendations for surface electromyography: results of SENIAM project. Enschede: Rossingh Research and Develeopment: 1999. P 103-105##
  8. Clarys JP. Elecromyography in sports and occupational settings: an update of its limits and possibilities. Ergonomics 2000; 20:108-17##
  9. Winter D, EMG interpretation. In: Kumar S, Mital A, editors. Electromyography in ergonomics. London: Taylor & Francis; 1996. P 109-25##
  10. Perry J. Gait Analysis: normal and pathological function. Thorofare, NJ: SLACK; 1992. ##
  11. Weir JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. The Journal of Strength & Conditioning Research. 2005;19(1):231-40. ##
  12. Oskouei AH, Paulin MG, Carman AB. Intra-session and inter-day reliability of forearm surface EMG during varying hand grip forces. Journal of Electromyography and Kinesiology. 2013;23(1):216-22. ##
  13. Nagata H. Analysis of fatal falls on the same level or on stairs/steps. Safety science. 1991;14(3):213-22. ##
  14. Scott A. Falls on stairways: literature review: Health and Safety Laboratory; 2005. ##
  15. Shekelle PG, Morton S, Chang JT, Mojica W, Maglione M, Suttorp M. Falls prevention interventions in the medicare population. Baltimore, MD: US Department of Health and Human Services. Health Care Financing Administration. In preparation.[Rec#: 5113]. 2003. ##
  16. Biomonitor. Available: http://www.megaemg.com##
  17. Cram JR, Kasman GS, Holtz J. Introduction to Surface Electromyography. Aspen Publishers Inc.; Gaithersburg, Maryland, 1998. ##
  18. Bolgla MJ, Uhl TL. Reliability of electromyography normalization methods for evaluating of the hip musculature. Journal of Electromyography and Kinesiology 2007;17: 102-111##
  19. Benoit DL, Lamontagne M, Cerulli G, Liti A. The clinical significance of electromyography normalization techniques in subjects with anterior cruciate ligament injury during treadmill walking. Gait &Posture 2003; 18: 56-63##
Volume 6, Issue 4
January and February 2018
Pages 201-209
  • Receive Date: 19 October 2016
  • Revise Date: 19 January 2017
  • Accept Date: 18 February 2017
  • First Publish Date: 22 December 2017