Biorobotics: Optimized biosignal classification using mother wavelet matrix

@article{Rafiee2009BioroboticsOB,
  title={Biorobotics: Optimized biosignal classification using mother wavelet matrix},
  author={J. Rafiee and M. A. Rafiee and Nicole Prause and M. P. Schoen},
  journal={2009 IEEE 35th Annual Northeast Bioengineering Conference},
  year={2009},
  pages={1-2}
}
This paper presents a new technique to optimally classify forearm electromyographic (EMG) measures using proposed mother wavelet matrix (MWM) for biorobots. Among 324 mother wavelet candidates, a MWM including 15 potential mother wavelet functions were selected to optimally classify surface and intramuscular EMG signals collected from multiple locations on the upper forearm of six subjects for nine classes of hand motions plus a rest state.