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Št. zadetkov: 4
ǂThe ǂefficiency of manual editing of high-density surface electromyogram decomposition depends on the recorded muscle and contraction level but less on the operator’s experience
Nina Murks, Jakob Škarabot, Matej Kramberger, Matjaž Divjak, Gašper Sedej, Tamara Valenčič, Christopher D. Connelly, Haydn Thomason, Aleš Holobar
Izvirni znanstveni članek
Oznake: ročno urejanje;elektromiogrami;rezultati dekompozicije;motorika mišic;hdEMG;manual editing;decomposition results;human operators;motor unit;človeški operaterji;
We investigated the agreement and accuracy of manual editing of the high-density electromyogram (hdEMG) decomposition results by seven human operators with various experience levels. All operators edited the same automatically decomposed experimental hdEMG from the first dorsal interosseous (FDI), t ...
Leto: 2025 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Motor unit editing time in high-density EMG decomposition decreases with the operator’s experience and pulse-to-noise ratio but does not depend on simulated muscle
Nina Murks, Jakob Škarabot, Matej Kramberger, Gašper Sedej, Tamara Valenčič, Christopher D Connely, Haydn Thomason, Matjaž Divjak, Aleš Holobar
Objavljeni znanstveni prispevek na konferenci
Oznake: simulacija mišic;elektromiogrami;
Manual editing of decomposition results represents an important but time-costly aspect of motor unit (MU) identification from a high-density surface electromyogram (hdEMG). We analysed the editing time and number of actions used to manually edit the decomposition results in synthetic signals. We sim ...
Leto: 2024 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Manual editing significantly improves the accuracy of motor unit recruitment threshold and discharge rate assessment from synthetic high-density surface electromyograms
Nina Murks, Jakob Škarabot, Matej Kramberger, Gašper Sedej, Tamara Valenčič, Christopher D. Connelly, Haydn Thomason, Matjaž Divjak, Aleš Holobar
Objavljeni znanstveni prispevek na konferenci
Oznake: elektromiogrami;motorika mišic;
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 (ReT ...
Leto: 2025 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
On time effectiveness of manual editing of motor unit spike trains
Nina Murks, Jakob Škarabot, Matej Kramberger, Gašper Sedej, Tamara Valenčič, Christopher D. Connelly, Haydn Thomason, Matjaž Divjak, Aleš Holobar
Objavljeni povzetek znanstvenega prispevka na konferenci
Oznake: kontrakcija mišic;konvolucija;motorika;
BACKGROUND AND AIM: Automatic methods for motor unit (MU) spike train identification from HDEMG are extensively used, but segmentation of the MU spike trains into discharge patterns still requires manual editing. This represents one of the major bottlenecks in analysis. We explored how the time effi ...
Leto: 2024 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Št. zadetkov: 4
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