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

Marc Tabie, Elsa Andrea Kirchner

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

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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