Resolution of Superpositions in EMG Signals using Belief Propagation: Results for the Known Constituent Problem
Volker Koch, Kevin C. McGill, Hans‐Andrea Loeliger · 2006
The problem of resolving superpositions in electromyographic (EMG) signals is considered. The shapes of the motor unit action potentials that make up each superposition are assumed to be known a-priori (known constituent problem). Two different and novel belief propagation algorithms have been developed to solve this problem. These algorithms and simulation results are presented in this paper.