20.500.12556/DKUM-97205 On the efficacy of coherence-based assessment of functional coupling between pools of motor units We studied the impact of the extension of the convolutive data model of high-density electromyograms (hdEMG) on the accuracy of coherence estimation between the motor unit (MU) activity indices (AI) calculated from different heads of biceps brachii (BB) (in simulated conditions) and gastrocnemius lateralis (GL) and medialis (GM) muscle in 5 young, healthy subjects. AI was calculated for each muscle head (simulated conditions) or muscle (experimental conditions). Coherence was calculated on 1 s long epochs of AI and compared to coherence values calculated from amplitude envelops (AE) of hdEMG and Cumulative Spike Trains (CST) calculated from individual MUs as identified by decomposition of hdEMG. Coherence values in AI (0.98±0.02 in synthetic and 0.49±0.20 in experimental conditions) were significantly higher than in the AE (0.89±0.07 in synthetic and 0.23 ± 0.15 in experimental conditions) and CST (0.83±0.11 in synthetic and 0.20 ± 0.10 in experimental conditions). The optimal extension factors were relatively high (>80), especially when compared to those for hdEMG decomposition (typically around 15). The reasons for this are not yet fully known and need further investigation. high-density surface electromyography motor unit coherence activity index biceps brachii gastrocnemius lateralis gastrocnemius medialis cumulative spike train motorika elektromiogrami true false false Angleški jezik Slovenski jezik Znanstveno delo 2026-02-23 14:25:13 2026-02-26 12:11:45 2026-03-04 07:24:38 0000-00-00 00:00:00 2024 0 0 5 0000-00-00 PreprintDelovna Neobjavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8 209062403 210657539 ERK2024_Kutos.pdf ERK2024_Kutos.pdf 1 D290E8FDCBE79D9FBC3977D9BB65CC4C 0df8de99c9f4796cbb88d15484f21aafd15a4de2e3cce1974c17b0fffde4504f 263ef244-10bb-11f1-95c9-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=203690 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0