Title :
A New Approach for EMG Decomposition Based on Overlaps Solution
Author :
Zarei, E. ; Maghooli, Keyvan ; Firoozabadi, S. Mohammad P.
Author_Institution :
Islamic Azad Univ., Tehran
Abstract :
In this paper a decomposition algorithm is introduced that uses three conventional methods simultaneously in different input channels for obtaining better results and resolving overlaps. The signal is recorded through one channel and the same signal is divided to gain different channels information. The firing patterns of the motor units obtained after decomposition in three channels in specific time domain are used for overlap solution. In order to verify this method, EMG signal is simulated in such away that it could resemble the clinical signal as much as possible. The obtained results show the capability of three channels decomposition system, in decomposing the signal.
Keywords :
decomposition; electromyography; medical signal processing; EMG decomposition algorithm; clinical signal; electromyogram signal; firing patterns; input channels; motor units; overlap solution; Electrodes; Electromyography; Filters; Integrated circuit modeling; Medical diagnostic imaging; Muscles; Noise level; Physics; Signal generators; Signal processing algorithms; Decomposition; EMG; Modeling; Overlap;
Conference_Titel :
Digital Signal Processing, 2007 15th International Conference on
Conference_Location :
Cardiff
Print_ISBN :
1-4244-0882-2
Electronic_ISBN :
1-4244-0882-2
DOI :
10.1109/ICDSP.2007.4288533