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Comparison of convolutive kernel compensation and non-negative matrix factorization of surface electromyogramsŠavc, Martin ...We compared non-negative matrix factorization (NMF) and convolution kernel compensation techniques for high-density electromyogram decomposition. The experimental data were recorded from nine healthy ... persons during controlled single degree of freedom (DOF) wrist flexion-extension, supination-pronation, and ulnar-radial deviation movements. We assembled the identified motor units and NMF components into three groups. Those active mostly during the first and the second movement direction per DOF were placed in the G1 and G3 groups, respectively. The remaining components were nonspecific for movement direction and were placed in the G2 group. In ulnar and radial deviation, the relative energies of identified cumulative motor unit spike trains (CSTs) and NMF components were similarly distributed among the groups. In other two movement types, the energy of NMF components in the G2 group was significantly larger than the energy of CSTs. We further performed a coherence analysis between CSTs and sums of NMF components in each group. Both decompositions demonstrated a solid match, but only at frequencies <3 Hz. At higher frequencies, the coherence hardly exceeded the value of 0.5. Potential reasons for these discrepancies include the negative impact of motor unit action potential shapes and noise on NMF decomposition.Vir: IEEE transactions on neural systems and rehabilitation engineering. - ISSN 1534-4320 (Vol. 26, no. 10, 2018, str. 1935-1944)Vrsta gradiva - članek, sestavni del ; neleposlovje za odrasleLeto - 2018Jezik - angleškiCOBISS.SI-ID - 21717270
Avtor
Šavc, Martin |
Glaser, Vojko |
Kranjec, Jernej |
Cikajlo, Imre |
Matjačić, Zlatko |
Holobar, Aleš
Teme
elektromiografija |
konvolucijska kompenzacija |
high-density surface EMG |
non-negative matrix factorization |
convolution kernel compensation |
wrist movements |
motor unit identification |
motor unit identification
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vir: IEEE transactions on neural systems and rehabilitation engineering. - ISSN 1534-4320 (Vol. 26, no. 10, 2018, str. 1935-1944)
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Šavc, Martin | 36164 |
Glaser, Vojko | 31095 |
Kranjec, Jernej | 39011 |
Cikajlo, Imre | 20180 |
Matjačić, Zlatko | 14038 |
Holobar, Aleš | 21301 |
Vir: Osebne bibliografije
in: SICRIS
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