EMG signal decomposition by loopy belief propagation

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.