Title :
EMG signal decomposition by loopy belief propagation
Author :
Koch, Volker M. ; Loeliger, Hans-Andrea
Author_Institution :
Dept. of Inf. Technol. & Electr. Eng., ETH Zentrum, Zurich, Switzerland
Abstract :
The problem of separating superimposed action potentials in electromyographic (EMG) signals is considered. Based on a graphical model (factor graph), a new EMG signal decomposition algorithm that uses loopy belief propagation is presented. Results show that the algorithm is capable of decomposing multiple superpositions in simulated and measured EMG signals.
Keywords :
FIR filters; belief networks; electromyography; medical signal processing; EMG signal decomposition; EMG signal graphical model; FIR filters; electromyographic signals; factor graphs; loopy belief propagation; motor unit action potential; multiple signal superpositions; superimposed action potential separation; AWGN; Additive white noise; Belief propagation; Electrodes; Electromyography; Finite impulse response filter; Fires; Graphical models; Muscles; Signal resolution;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1416324
