Next-generation decomposition of multi-channel EMG signals

We have developed a knowledge-based system for the improved decomposition of multi-channel EMG signals. This system incorporates streamlined and/or modified versions of the basic algorithms in the precision decomposition technique. In addition, it employs the IPUS framework from artificial intelligence to implement signal re-processing strategies for the detection and subsequent correction of decomposition errors arising from its initial signal processing stage. Experiments on real EMG data indicate that our new system has significant speed as well as accuracy advantages over previous generations of precision decomposition programs.