title: Feature selection for motor unit potential train characterization.
abstract: BACKGROUND
  Ten new features of motor unit potential (MUP) morphology and stability are proposed. These new features, along with 8 traditional features, are grouped into 5 aspects: size, shape, global complexity, local complexity, and stability.
  
  
  METHODS
  We used sequential forward and backward search strategies to select subsets of these 18 features to discriminate accurately between muscles whose MUPs are predominantly neurogenic, myopathic, or normal.
  
  
  CONCLUSIONS
  Results based on 8102 motor unit potential trains (MUPTs) extracted from 4 different limb muscles (n = 336 total muscles) demonstrate the usefulness of these newly introduced features and support an aspect-based grouping of MUPT features.
authors.affiliation: Systems Design Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada.
authors.forename: Meena
authors.initials: M
authors.lastname: Abdelmaseeh
authors.forename: Benn
authors.initials: B
authors.lastname: Smith
authors.forename: Daniel
authors.initials: D
authors.lastname: Stashuk
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D004576:Electromyography / Q000379:methods*; D006801:Humans; D009046:Motor Neurons / Q000502:physiology*; D015999:Multivariate Analysis; D018482:Muscle, Skeletal / Q000502:physiology*; D009468:Neuromuscular Diseases / Q000503:physiopathology*; D016011:Normal Distribution; D012815:Signal Processing, Computer-Assisted
keywords: motor unit potential morphology; motor unit potential train features; motor unit potential train stability; muscle characterization; needle electromyography