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Use of the Teager-Kaiser Energy Operator for Muscle Activity Detection in Children

Annals of Biomedical Engineering volume 37, pages 1584–1593 (2009)Cite this article

Abstract

The purpose of this study was to demonstrate the usefulness of the Teager-Kaiser Energy (TKE) operator to assess surface electromyographic (sEMG) activity from the hip and trunk muscles during pediatric gait in children with and without cerebral palsy (CP). Muscle activity was recorded from the trapezius, erector spinae, rectus abdominus, external oblique, gluteus maximus and medius, rectus femoris, and semitendinosus bilaterally in ten children with typical development (TD) and five children with CP ages 44.4 ± 18.6 months. Duration of muscle activity was calculated as a percentage of the gait cycle, and compared to two common onset detection methods, a standard deviation (SD) amplitude threshold method, and the visual inspection from two raters (R1, R2). Relative and absolute agreement was determined using intraclass correlation coefficients (ICCs) and Bland-Altman plots. Of the two automated methods, the TKE method demonstrated better agreement with visual inspection (0.45–0.89) than the SD (0.11–0.76) method. The Bland-Altman plots indicated a smaller bias and 95% confidence interval for the TKE method in comparison to the raters (TKE to R1: −5, 113%; TKE to R2: 4, 95%; SD to R1: −24, 170%; SD to R2: −15, 151%). The use of the TKE operator may better detect sEMG activity in children than the standard amplitude method.

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References

  1. Allison, G. T. 2003 Trunk muscle onset detection technique for EMG signals with ECG artefact. J Electromyogr Kinesiol 13(3), 209-216. doi:10.1016/S1050-6411(03)00019-1

    PubMed  Article  CAS  Google Scholar 

  2. Buurke, J.H., H.J. Hermens, D. Roetenberg, J. Harlaar, D. Rosenbaum, R.F. Kleissen 2004 Influence of hamstring lengthening on muscle activation timing. Gait & Posture 20(1), 48-53. doi:10.1016/S0966-6362(03)00092-4

    PubMed  Article  CAS  Google Scholar 

  3. Damiano DL, Martellotta TL, Sullivan DJ, Granata KP, Abel MF 2000 Muscle force production and functional performance in spastic cerebral palsy: relationship of cocontraction. Arch Phys Med Rehabil 81(7), 895-900. doi:10.1053/apmr.2000.5579

    PubMed  Article  CAS  Google Scholar 

  4. Davis, M.F., K. Worden, D. Clawson, J. Meaney, B. Duncan 2007 Confirmatory Factor Analysis in Osteopathic Medicine: Fascial and Spinal Motion Restrictions as Correlates of Muscle Spasticity in Children With Cerebral Palsy. J Am Osteopath Assoc 107, 226-232.

    PubMed  Google Scholar 

  5. Di Fabio, R. P. 1987 Reliability of computerized surface electromyography for determining the onset of muscle activity. Phys. Ther 67(1), 43-48.

    PubMed  CAS  Google Scholar 

  6. Farina D. 2006 Interpretation of the surface electromyogram in dynamic contractions. Exerc Sport Sci Rev. 34(3), 121-127. doi:10.1249/00003677-200607000-00006

    PubMed  Article  Google Scholar 

  7. Hanneman, S. K. 2008 Design, Analysis, and Interpretation of Method-Comparison Studies. AACN Advanced Critical Care 19(2), 223-234.

    PubMed  Google Scholar 

  8. Hermens, H. J., B. Freriks, C. Disselhorst-Klug, G. Rau 2000 Development of recommendations for SEMG sensors and sensor placement procedures. J. Electromyogr. Kinesiol. 10(5), 361-374. doi:10.1016/S1050-6411(00)00027-4

    PubMed  Article  CAS  Google Scholar 

  9. Hodges, P. W., B.H. Bui 1996 A comparison of computer-based methods for the determination of onset of muscle contraction using electromyography. Electroencephalogr.Clin. Neurophysiol 101(6), 511-519.

    PubMed  Article  CAS  Google Scholar 

  10. Hortobagyi, T., S. Solnik, A. Gruber, P. Rider, K. Steinweg, J. Helseth, and P. DeVita. Interaction between age and gait velocity in the amplitude and timing of antagonist muscle coactivation. Gait Posture. 2009 [Epub ahead of print].

  11. Kaiser, J. F. On a simple algorithm to calculate the energy of a signal. ICASSP-90, pp. 381–384, 1990.

  12. Lauer, R.T., T.E. Johnston, B.T. Smith, S.C.K. Lee 2008 Muscle activity during cycling in adolescents with and without cerebral palsy. Clin Biomech 23(4), 442-449. doi:10.1016/j.clinbiomech.2007.11.004

    Article  Google Scholar 

  13. Lauer, R.T., B.T. Smith, P.A. Shewokis, J.J. McCarthy, C.A. Tucker 2007 Time-Frequency Changes in Electromyographic Signals After Hamstring Lengthening Surgery in Children with Cerebral Palsy. J Biomechanics 40(12), 2738-2743. doi:10.1016/j.jbiomech.2007.01.001

    PubMed  Article  Google Scholar 

  14. Lauer, R.T., C.A. Stackhouse, P.A. Shewokis, B.T. Smith, C.A.Tucker, J. McCarthy 2007 A time-frequency based electromyographic analysis technique for use in cerebral palsy. Gait Posture 23(3), 420-427. doi:10.1016/j.gaitpost.2006.10.015

    Article  Google Scholar 

  15. Lee AS, Cholewicki J, Reeves NP 2007 The effect of background muscle activity on computerized detection of sEMG onset and offset. J Biomech. 40(15), 3521-3526. doi:10.1016/j.jbiomech.2007.05.012

    PubMed  Article  Google Scholar 

  16. Li, X., P. Zhou, A.S. Aruin 2007 Teager-Kaiser energy operation of surface EMG improves muscle activity onset detection. Ann. Biomed. Eng 35(9), 1532-1538. doi:10.1007/s10439-007-9320-z

    PubMed  Article  Google Scholar 

  17. de Luca, C.J. 2006 Electromyography. In: J.G. Webster (eds) Encyclopedia of Medical Devices and Instrumentation. John Wiley & Sons, New York, pp. 98-109.

    Google Scholar 

  18. Merlo, A., D. Farina, R. Merletti 2003 A fast and reliable technique for muscle activity detection from surface EMG signals. IEEE Trans. Biomed. Eng 50(3), 316-323. doi:10.1109/TBME.2003.808829

    PubMed  Article  Google Scholar 

  19. Micera, S., A.M. Sabatini, P. Dario 1998 An algorithm for detecting the onset of muscle contraction by EMG signal processing. Med. Eng Phys. 20(3), 211-215. doi:10.1016/S1350-4533(98)00017-4

    PubMed  Article  CAS  Google Scholar 

  20. Ng, J. K., V. Kippers, C.A. Richardson 1998 Muscle fibre orientation of abdominal muscles and suggested surface EMG electrode positions. Electromyogr.Clin. Neurophysiol. 38(1), 51-58.

    PubMed  CAS  Google Scholar 

  21. Nicholson, J.H., R.E. Morton, S. Attfield, D. Rennie 2001 Assessment of upper-limb function and movement in children with cerebral palsy wearing lycra garments. Dev Med Child Neurol 43(6), 384-391. doi:10.1017/S001216220100072X

    PubMed  Article  CAS  Google Scholar 

  22. Policy, J.F., L. Torburn, L.A. Rinsky, J. Rose 2001 Electromyographic test to differentiate mild diplegic cerebral palsy and idiopathic toe-walking. J Pediatr Orthop 21(6), 784-789. doi:10.1097/00004694-200111000-00016

    PubMed  Article  CAS  Google Scholar 

  23. Portney, L. G., M.P. Watkins 1993 Foundations of Clinical Research: Applications to Practice. Appleton & Lange, Stamford

    Google Scholar 

  24. Roetenberg D, Buurke J, Veltink P, Cordero A, Hermens H 2003 Surface electromyography analysis for variable gait. Gait & Posture 18(2), 109-117. doi:10.1016/S0966-6362(03)00005-5

    PubMed  Article  CAS  Google Scholar 

  25. Rosenbaum P., N. Paneth, A. Leviton, M. Goldstein, M. Bax, D. Damiano, B. Dan, B. Jacobsson 2007 A report: the definition and classification of cerebral palsy April 2006. Dev Med Child Neurol Suppl 109:8-14.

    PubMed  Google Scholar 

  26. Solnik S, DeVita P, Rider P, Long B, Hortobagyi T. 2008 Teager-Kaiser Operator improves the accuracy of EMG onset detection independent of signal to noise ratio. Acta Bieng Biomech 10(2), 65-68.

    Google Scholar 

  27. Stackhouse SK, Binder-Macleod SA, Lee SC 2005 Voluntary muscle activation, contractile properties, and fatigability in children with and without cerebral palsy. Muscle Nerve 31(5), 594-601. doi:10.1002/mus.20302

    PubMed  Article  Google Scholar 

  28. Staude, G., W. Wolf 1999 Objective motor response onset detection in surface myoelectric signals. Med. Eng Phys. 21(6-7), 449-467. doi:10.1016/S1350-4533(99)00067-3

    PubMed  Article  CAS  Google Scholar 

  29. Wakeling, J. M. 2004 Motor units are recruited in a task dependent fashion during locomotion. J Exp Biol 207, 3883-3890. doi:10.1242/jeb.01223

    PubMed  Article  Google Scholar 

  30. Wakeling, J., R. Delaney, I. Dudkiewicz 2007 A method for quantifying dynamic muscle dysfunction in children and young adults with cerebral palsy. Gait Posture 25(4), 580-589. doi:10.1016/j.gaitpost.2006.06.009

    PubMed  Article  Google Scholar 

  31. Wong, Y. M., G.Y. Ng 2005 The double peak-to-peak analysis for determining EMG onset of muscle contraction. Electromyogr.Clin.Neurophysiol 45(5), 267-271.

    PubMed  CAS  Google Scholar 

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Acknowledgments

Support for this study was provided by NIH/NINDS Grant # R03 NS044875.

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  1. Department of Physical Therapy, Temple University, 3307 North Broad Street, Philadelphia, PA, 19140, USA

    Richard T. Lauer & Laura A. Prosser

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  1. Richard T. Lauer
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  2. Laura A. Prosser
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Correspondence to Richard T. Lauer.

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Lauer, R.T., Prosser, L.A. Use of the Teager-Kaiser Energy Operator for Muscle Activity Detection in Children. Ann Biomed Eng 37, 1584–1593 (2009). https://doi.org/10.1007/s10439-009-9727-9

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  • DOI: https://doi.org/10.1007/s10439-009-9727-9

Keywords

  • Electromyography
  • Gait analysis
  • Pediatrics