EMG Onset Detection - Comparison of Different Methods for a Movement Prediction Task based on EMG

Marc Tabie, Elsa Andrea Kirchner

2013

Abstract

In this work a study with 8 male subjects was conducted to compare three preprocessing methods for online capable movement prediction based on the recorded electromyogramm (EMG) signals of the right upper limb. One of the compared methods is the widely used Teager Kaiser Energy Operator (TKEO), the other two are a recently proposed method that is based on variance calculation of the signal and the standard deviation. Scope of the work was to show that fast methods, which are required for online processing, have at least the same performance as more classical approaches with higher demands on computational resources like the TKEO. An adaptive threshold was used for onset detection after preprocessing in all compared cases. Comparisons of preprocessing methods were done with respect to the performance in movement prediction and earliness of onset detection. The influence of different movement speeds on the prediction time and the performance were investigated as well. Results presented here show significant differences between the investigated preprocessing methods concerning the prediction time. As a further result of this study it could be shown that different movement speeds also have a significant effect on the prediction time.

References

  1. Bonato, P., D'Alessio, T., and Knaflitz, M. (1998). A statistical method for the measurement of muscle activation intervals from surface myoelectric signal during gait. IEEE Transactions on Biomedical Engineering, 45(3):287-299.
  2. Cavanagh, P. R. and Komi, P. V. (1979). Electromechanical delay in human skeletal muscle under concentric and eccentric contractions. European Journal of Applied Physiology and Occupational Physiology, 42(3):159- 163.
  3. Folgheraiter, M., Jordan, M., Straube, S., Seeland, A., Kim, S.-K., and Kirchner, E. A. (2012). Measuring the improvement of the interaction comfort of a wearable exoskeleton. International Journal of Social Robotics, 4(3):285-302.
  4. Hodges, P. W. and Bui, B. H. (1996). A comparison of computer-based methods for the determination of onset of muscle contraction using electromyography. Electroencephalography and Clinical Neurophysiology, 101(6):511-519.
  5. Kaiser, J. F. (1990). On a simple algorithm to calculate the 'energy' of a signal. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP-90. Conf, pages 381-384.
  6. Li, X., Zhou, P., and Aruin, A. S. (2007). Teager-kaiser energy operation of surface EMG improves muscle activity onset detection. Annals of Biomedical Engineering, 35(9):1532-1538.
  7. Nikolic, M. and Krarup, C. (2011). EMGTools, an adaptive and versatile tool for detailed EMG analysis. Biomedical Engineering, IEEE Transactions on, 58(10):2707 -2718.
  8. Semmaoui, H., Drolet, J., Lakhssassi, A., and Sawan, M. (2012). Setting adaptive spike detection threshold for smoothed TEO based on robust statistics theory. IEEE Transactions on Biomedical Engineering, 59(2):474 - 482.
  9. Solnik, S., Rider, P., Steinweg, K., DeVita, P., and Hortobgyi, T. (2010). Teager-kaiser energy operator signal conditioning improves EMG onset detection. European Journal of Applied Physiology, 110(3):489-498.
  10. Velez, D. R., White, B. C., Motsinger, A. A., Bush, W. S., Ritchie, M. D., Williams, S. M., and Moore, J. H. (2007). A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction. Genetic Epidemiology, 31(4):306-315.
  11. Zhou, S., Lawson, D. L., Morrison, W. E., and Fairweather, I. (1995). Electromechanical delay in isometric muscle contractions evoked by voluntary, reflex and electrical stimulation. European Journal of Applied Physiology and Occupational Physiology, 70(2):138-145.
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Paper Citation


in Harvard Style

Tabie M. and Andrea Kirchner E. (2013). EMG Onset Detection - Comparison of Different Methods for a Movement Prediction Task based on EMG . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 242-247. DOI: 10.5220/0004250102420247


in Bibtex Style

@conference{biosignals13,
author={Marc Tabie and Elsa Andrea Kirchner},
title={EMG Onset Detection - Comparison of Different Methods for a Movement Prediction Task based on EMG},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={242-247},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004250102420247},
isbn={978-989-8565-36-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - EMG Onset Detection - Comparison of Different Methods for a Movement Prediction Task based on EMG
SN - 978-989-8565-36-5
AU - Tabie M.
AU - Andrea Kirchner E.
PY - 2013
SP - 242
EP - 247
DO - 10.5220/0004250102420247