20.500.12556/DKUM-97207 Manual editing significantly improves the accuracy of motor unit recruitment threshold and discharge rate assessment from synthetic high-density surface electromyograms This study examined the influence of manual editing on the accuracy of motor unit (MU) metrics derived from high-density surface EMG. Seven operators with varying levels of experience manually edited synthetic datasets from the Soleus and Biceps Brachii. We then calculated recruitment threshold (ReTh), derecruitment threshold (DeTh), discharge rate (DR), recruitment discharge rate (ReDR), and derecruitment discharge rate (DeDR) before and after editing. The effects of operator’s experience, contraction level, initial pulse-to-noise ratio (PNR), signal-to-noise ratio (SNR), muscle type, and editing status were analyzed. Manual editing significantly improved accuracy only for ReTh and DR, whereas with other metrics, it only had a minor, insignificant effect. Higher initial PNR consistently reduced errors across all metrics. Contraction level strongly influenced all metrics, whereas muscle type and SNR had minimal impact—SNR was significant only for DeTh, and muscle type only for ReTh. Operator’s experience did not significantly affect any metric. Overall, these results indicate that manual editing is critical for reliable estimation of ReTh and DR, but less essential for DeDR, particularly when initial PNR is high. high-density surface electromyography motor unit soleus biceps brachii recruitment threshold discharge rate elektromiogrami motorika mišic true false false Angleški jezik Slovenski jezik Znanstveno delo 2026-02-23 14:47:28 2026-02-26 12:21:31 2026-03-04 07:30:45 0000-00-00 00:00:00 2025 0 0 5 0000-00-00 PreprintDelovna Neobjavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.5:61 250462467 251377411 2591-0442 ERK_2025_Murks.pdf ERK_2025_Murks.pdf 1 544F5B9A67DE714DC053ED4C55103305 c68da7d9af87fd1f57e9de63a3a1839338e5334a80e4a1b038a966b07307d330 c93b564e-10be-11f1-95c9-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=203694 https://erk.fe.uni-lj.si/2025/papers/murks(manual_editing).pdf 1 c48e83d2-10be-11f1-95c9-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=203693 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0