Resolution of superpositions in EMG signals using belief propagation: results for the known constituent problem.
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.
Koch
Volker M
VM
Signal and Information Processing Laboratory, ETH Zurich, Zurich, Switzerland. koch@isi.ee.ethz.ch
McGill
Kevin C
KC
Loeliger
Hans-Andrea
HA
D000465:Algorithms; D001185:Artificial Intelligence; D004576:Electromyography / Q000379:methods*; D006801:Humans; D009046:Motor Neurons / Q000502:physiology*; D009119:Muscle Contraction / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods*