Evaluation of higher order statistics parameters for multi channel sEMG using different force levels

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2011, pp. 3869 - 3872
Issue Date:
2011-01
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2012007301OK.pdf Published version772.24 kB
Adobe PDF
The electromyograpy (EMG) signal provides information about the performance of muscles and nerves. The shape of the muscle signal and motor unit action potential (MUAP) varies due to the movement of the position of the electrode or due to changes in contraction level. This research deals with evaluating the non-Gaussianity in Surface Electromyogram signal (sEMG) using higher order statistics (HOS) parameters. To achieve this, experiments were conducted for four different finger and wrist actions at different levels of Maximum Voluntary Contractions (MVCs). Our experimental analysis shows that at constant force and for non-fatiguing contractions, probability density functions (PDF) of sEMG signals were non-Gaussian. For lesser MVCs (below 30% of MVC) PDF measures tends to be Gaussian process. The above measures were verified by computing the Kurtosis values for different MVCs. © 2011 IEEE.
Please use this identifier to cite or link to this item: