title: [Extraction of MUAP from NEMG signal using self-organization competing NN].
abstract: The pattern classification of motor unit action potential (MUAP) of needle electrode electromyogram (NEMG) signal by means of self-organization competing Neural Network(NN) has been accomplished in this paper. The parameters and the power of excited white-noise of auto-regressive (AR) model are taken as the feature of MUAP. The results of simulated NEMG and real NEMG all show that this method of classification is very effective and correct, and thus it presents a new approach to the extraction of MUAP template in the study of decomposition of NEMG.
authors.affiliation: Dept of Electronic Science & Tech, Univ of Science & Tech of China, Hefei 230026.
authors.forename: J
authors.initials: J
authors.lastname: Yang
authors.forename: X
authors.initials: X
authors.lastname: Chen
authors.forename: Y
authors.initials: Y
authors.lastname: Li
authors.forename: Z
authors.initials: Z
authors.lastname: Zhong
authors.forename: Z
authors.initials: Z
authors.lastname: Lou
mesh_terms: D000200:Action Potentials; D003198:Computer Simulation; D004576:Electromyography / Q000379:methods*; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted