VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Probabilistic muscle characterization using quantitative electromyography : application to facioscapulohumeral muscular dystrophy
    Pino, Lou Joseph ; Stashuk, Daniel W ; Podnar, Simon
    Based on quantitative electromyography, a muscle can be categorized as normal or affected by a neuromuscular disorder. The objective of this work was to compare the utility of probabilistic to ... conventional means and outlier methodsof categorization of myopathic and normal muscles. Various sets of motor unit potential (MUP) features detected in biceps brachii muscles of control subjects and patients with facioscapulohumeral muscular dystrophy wereused to categorize them as normal or myopathic based on conventional means and outlier categorization (CMC) as well as a new probabilistic muscle categorization (PMC). The sensitivity, specificity, and accuracy provided by each categorization method were compared. The categorizations made using PMC were significantly more accurate (by at least 10%) compared with CMC (P < 10(-10)) for muscles evaluated in this study. Area, duration, and thickness were highly discriminative MUP features.
    Vir: Muscle & nerve. - ISSN 0148-639X (Letn. 42, št. 4, 2010, str. 563-569)
    Vrsta gradiva - članek, sestavni del
    Leto - 2010
    Jezik - angleški
    COBISS.SI-ID - 27489753
    DOI

vir: Muscle & nerve. - ISSN 0148-639X (Letn. 42, št. 4, 2010, str. 563-569)
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