Extracting Temporal and Spectral Parameters from Surface Electromyography Signals during a Fatigue Contraction - Volume 1, No. 2, December 2013 - International Journal of Signal Processing Systems (IJSPS)
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Extracting Temporal and Spectral Parameters from Surface Electromyography Signals during a Fatigue Contraction

Jeff Kilby and Krishnamachar Prasad
AUT University/School of Engineering, Auckland, New Zealand
Abstract—This paper presents findings from a study of five healthy subjects performing 50% maximum voluntary contraction until complete fatigue of the muscle. An overlapping window technique was used to find the values for mean frequency (MNF), median frequency (MDF) of the power spectrum, root mean square (RMS) and muscle fibre conduction velocity (MFCV). The surface electromyography signal (sEMG) was collected from the vastus lateralis muscle using a three channel Laplacian electrode. The results show the MNF and MDF values showed a consistent trend with each other where they remained at steady values between 20-30% and 75-80% of the signal after which they fell 15-30% of this value. The RMS showed a linear increase in value. The MFCV showed a similar trend to that found in the MNF and MDF values.

Index Terms—MNF, MDF, RMS and MFCV

Cite: Jeff Kilby and Krishnamachar Prasad, "Extracting Temporal and Spectral Parameters from Surface Electromyography Signals during a Fatigue Contraction," International Journal of Signal Processing Systems, Vol. 1, No. 2, pp. 278-283, December 2013. doi: 10.12720/ijsps.1.2.278-283

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