Adaptive motor unit action potential clustering using shape and temporal information

  • D W Stashuk, Y. Qu
  • Published 1996 in Medical and Biological Engineering and Computing

Abstract

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… (More)
DOI: 10.1007/BF02637021

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