Title :
The Motor Unit Innervation Process Correlation and Its Effects on EMG Applications
Author :
Jiang, Ning ; Parker, Philip A. ; Englehart, Kevin B.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Brunswick Univ., Fredericton, NB
Abstract :
It has often been assumed in EMG modeling and signal processing applications, that the motor unit action potential trains (MUAPT) of concurrently active motor units during voluntary contractions are not correlated. However, motor unit synchrony, or motor unit innervation process (MUIP) correlation, which implies MUAPT correlation, has been accepted as a common phenomenon in voluntary contractions. The impact of this MUIP correlation in applications which assume its absence has not been thoroughly studied. In this paper, simulated data with different degrees of MUIP correlation are applied to investigate this issue. Simulation results show that MUIP correlation may compromise the assumption of uncorrelated MUAPTs (depending on recruitment level), and MUIP correlation has a downwards spectrum compression effect on the power spectrum of EMG
Keywords :
electromyography; physiological models; EMG modeling; concurrently active motor units; motor unit action potential trains; motor unit innervation process correlation; motor unit synchrony; power spectrum; signal processing; spectrum compression effect; voluntary contractions; Application software; Biomedical engineering; Biomedical signal processing; Electromyography; Frequency estimation; Frequency synchronization; Prosthetics; Recruitment; Signal processing; Velocity control; Mean Frequency; Motor Unit Action Potential Train Correlation; Motor Unit Innervation Process Correlation; Motor Unit Synchrony; Surface EMG;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615400