VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Correlation-based decomposition of surface electromyograms at low contraction forces
    Holobar, Aleš ; Zazula, Damjan
    The paper studies a surface electromyogram (SEMG) decomposition technique suitable for identification of complete motor unit (MU) firing patterns and their motor unit action potentials (MUAPs) during ... low-level isometric voluntary musc/e contractions. The algorithm was based on a correlation matrix of measurements, assumed unsynchronised (uncorrelated) MU firings, exhibited a very low computational complexity and resolved the super imposition of MUAPs. A separation index was defined that identified the time instants of an MU's activation and was eventually used for reconstruction of a complete MU innervation pulse train. In contrast with other decomposition techniques, the proposed approach worked well also when the number of active MUs was slightly underestimated, if the MU firing patterns partly overlapped and if the measurements were noisy. The results on synthetic SEMG show 100% accuracy in the detection of innervation pulses down to a signal-to-noise ratio (SNR) of 1OdB, and 93::1: 4.6% (mean::1: standard deviation) accuracy with O dB additive noise. In the case of real SEMG, recorded with an array of 61 electrodes from biceps brachii of five subjects at 10% maximum voluntary contraction, seven active MUs with a mean firing rate of 14.1 Hz were identified on average.
    Vir: Medical & biological engineering & computing : journal of the International Federation for Medical & Biological Engineering. - ISSN 0140-0118 (Vol. 42, No. 4, 2004, str. 487-495)
    Vrsta gradiva - članek, sestavni del
    Leto - 2004
    Jezik - angleški
    COBISS.SI-ID - 8986134

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