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Naslov:Manual editing significantly improves the accuracy of motor unit recruitment threshold and discharge rate assessment from synthetic high-density surface electromyograms
Avtorji:ID Murks, Nina, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Avtor)
ID Škarabot, Jakob, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK (Avtor)
ID Kramberger, Matej, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Avtor)
ID Sedej, Gašper, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Avtor)
ID Valenčič, Tamara, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK (Avtor)
ID Connelly, Christopher D., School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK (Avtor)
ID Thomason, Haydn, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK (Avtor)
ID Divjak, Matjaž, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Avtor)
ID Holobar, Aleš, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Avtor)
Datoteke:.pdf ERK_2025_Murks.pdf (417,15 KB)
MD5: 544F5B9A67DE714DC053ED4C55103305
 
URL https://erk.fe.uni-lj.si/2025/papers/murks(manual_editing).pdf
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo
Tipologija:1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis: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.
Ključne besede:high-density surface electromyography, motor unit, soleus, biceps brachii, recruitment threshold, discharge rate
Status publikacije:Neobjavljeno
Verzija publikacije:Preprint, delovna različica publikacije (nerecenzirana)
Leto izida:2025
Št. strani:5
PID:20.500.12556/DKUM-97207 Novo okno
UDK:004.5:61
COBISS.SI-ID:251377411 Novo okno
ISSN pri članku:2591-0442
Datum objave v DKUM:26.02.2026
Število ogledov:161
Število prenosov:3
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del monografije

Naslov:Zbornik štiriintridesete mednarodne Elektrotehniške in računalniške konference ERK 2025 : Proceedings of the 34th International Electrotechnical and Computer Science Conference ERK 2025
Uredniki:Andrej Žemva, Andrej Trost
Kraj izida:Portorož
Založnik:Ljubljana : Slovenska sekcija IEEE : Fakulteta za elektrotehniko, 2025
Leto izida:2025
ISBN:250462467
Prireditelj konference:Slovenska sekcija IEEE, Fakulteta za elektrotehniko, Ljubljana

Gradivo je financirano iz projekta

Financer:EC - European Commission
Program financ.:HE
Številka projekta:101079392
Naslov:Hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders
Akronim:HybridNeuro

Financer:UKRI - UK Research and Innovation
Program financ.:Horizon Europe Guarantee
Številka projekta:10052152
Naslov:Hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders (HybridNeuro)

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:25.09.2025

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:elektromiogrami, motorika mišic


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