Decomposition of electromyographic signals by iterative message passing in a graphical model

The problem of decomposing electromyographic (EMG) signals is considered. Starting from a graphical model (factor graph) of the problem, a new iterative decomposition algorithm is proposed. It is based on the sum-product (or belief/probability propagation) algorithm and is able to decompose heavily superimposed single- and multi-channel signals.