Adaptive motor unit action potential clustering using shape and temporal information

@article{Stashuk1996AdaptiveMU,
  title={Adaptive motor unit action potential clustering using shape and temporal information},
  author={Daniel W. Stashuk and Yong Qu},
  journal={Medical and Biological Engineering and Computing},
  year={1996},
  volume={34},
  pages={41-49}
}
An adaptive algorithm is described that groups motor unit action potentials (MUAPs), detected in a composite EMG signal during signal decomposition, and creates partial motor unit action potential trains (MUAPTs). Data-driven MUAP shape and motor unit firing-pattern based criteria are used to form the clusters. An algorithm for estimating MUAPT temporal parameter, which provides accurate estimates even for partially defined trains, is used to obtain firing-pattern information. No a priori… CONTINUE READING
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