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Naslov:Activity index outperforms cumulative spike train and amplitude envelopes in surface EMG coherence analysis
Avtorji:ID Kutoš, Leon, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (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 ISEK2024_Kutos.pdf (182,27 KB)
MD5: 6D9C8F0D40B5005C4AA535035F45FE3E
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo
Tipologija:1.12 - Objavljeni povzetek znanstvenega prispevka na konferenci
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis:BACKGROUND AND AIM: Coherence is frequently used to study functional coupling between two motor neuron pools. Decomposing surface electromyograms (sEMG) into spike trains of individual motor units (MUs) and summing them into cumulative spike train (CST) [1] may improve the coherence estimates provided by sEMG amplitude envelopes (AE), mainly due to removal of MU action potentials (MUAPs). However, the coherence estimation in CST depends on the number of MUs and reaches optimal values at several tens of detected MUs. Such a high number of MUs cannot always be guaranteed. Conversely, activity index (AI), which constitutes the first step of the CKC algorithm [2], compensates the MUAPs and combines contributions of all the MUs active in the detection volume of sEMG electrodes. In this study we compare coherence calculations using AE, AI and CST in synthetic and experimental sEMG. METHODS: 10 biceps brachii muscles were simulated with 500 MUs each. 20 s of 9×10 sEMG channels were simulated and sampled at 2048 Hz. Excitation levels of 10%, 30% and 50% of MVC were simulated with superimposed 10 Hz sinusoidal modulation with amplitude of 5% MVC. Experimental sEMG was acquired by 5×13 electrode array from gastrocnemius medialis (GM) and lateralis (GL) muscles of 5 healthy subjects during 20 s long 30% MVC contraction. All sEMG signals were decomposed by CKC algorithm [2], yielding MU spike trains and AI. MU spike trains with pulse-to-noise ratio > 25 dB were summed into CST and spatial average of rectified sEMG was used as AE. Coherence was calculated between all pairs of sEMG signals from two different simulated muscles and between simultaneous recordings of GL and GM. We evaluated the coherence values at 10 Hz (synthetic signals) and at the coherence peak on the 8-30 Hz interval (exp. signals). RESULTS: 14.2±6.1 and 26.1±16.7 MUs were identified from synthetic and exp. sEMG. In synthetic case, the AI yielded significantly higher (P<0.001) coherence values at 10 Hz (0.97±0.01) than the AE (0.83±0.07) and CST (0.78±0.23). In exp. signals coherence peaks were significantly (P<0.05) higher in the AI (0.48±0.20) than in the AE (0.35±0.26) or CST (0.24±0.07). CONCLUSION: The AI yielded higher coherence values than the AE and CST, likely due to the larger number of MUs (compared to the CST) and MUAPs compensation (compared to the AE). FUNDING: This research was funded by the European Union’s Horizon Europe Research and Innovation Program (HybridNeuro project, GA No. 101079392). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
Ključne besede:high-density surface electromyography, motor unit, activity index, cumulative spike train, coherence
Status publikacije:Neobjavljeno
Verzija publikacije:Preprint, delovna različica publikacije (nerecenzirana)
Leto izida:2024
Št. strani:1
PID:20.500.12556/DKUM-97209 Novo okno
UDK:004.8:61
COBISS.SI-ID:204432899 Novo okno
Datum objave v DKUM:26.02.2026
Število ogledov:170
Število prenosov:6
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Gradivo je del monografije

Naslov:2024 ISEK Abstract Book : Society of Electrophysiology and Kinesiology ISEK 2024
Uredniki:Kohei Watanabe
Kraj izida:Nagoya, Japan
Založnik:International Society of Electrophysiology and Kinesiology
Leto izida:2024
ISBN:204427523
Prireditelj konference:International Society of Electrophysiology and Kinesiology

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:26.06.2024

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:nevroni, elektromiogrami, motorika


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