A factor graph approach to model-based signal separation
Volker Koch · Repository for Publications and Research Data (ETH Zurich) · 2007
This doctoral thesis is about a rather new model-based signal processingmethodology that is based on factor graphs and message-passing algorithms.Using this, we have developed exemplary signal processing algorithms for various biomedical applications.The rnain application to evaluate and demonstrate this new methodology was in the field of electromyographic (EMG) signal analysis.EMG signals are electrical signals that are generated during muscle contractions.They can be measured using various kinds of electrodes, e.g., needle or fine-wire electrodes.Their analysis provides valuable information for thediagnosis of neuromuscular disorders, the study of neuromuscular control mechanisms, and the verification of anatomie hypotheses.