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Title:On the efficacy of coherence-based assessment of functional coupling between pools of motor units
Authors:ID Kutoš, Leon, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Author)
ID Kalc, Miloš, Science and Research Centre Koper, Koper, Slovenia (Author)
ID Kramberger, Matej, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Author)
ID Urh, Filip, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Author)
ID Holobar, Aleš, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Author)
Files:.pdf ERK2024_Kutos.pdf (868,49 KB)
MD5: D290E8FDCBE79D9FBC3977D9BB65CC4C
 
Language:English
Work type:Scientific work
Typology:1.08 - Published Scientific Conference Contribution
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract: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.
Keywords:high-density surface electromyography, motor unit, coherence, activity index, biceps brachii, gastrocnemius lateralis, gastrocnemius medialis, cumulative spike train
Publication status:Not published
Publication version:Preprint, working version of publication, not peer-reviewed
Year of publishing:2024
Number of pages:5
PID:20.500.12556/DKUM-97205 New window
UDC:004.8
COBISS.SI-ID:210657539 New window
Publication date in DKUM:26.02.2026
Views:149
Downloads:3
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a monograph

Title:Zbornik triintridesete mednarodne Elektrotehniške in računalniške konference ERK 2024 : Proceedings of the 33rd International Electrotechnical and Computer Science Conference ERK 2024
Editors:Andrej Žemva, Andrej Trost
Place of publishing:Portorož
Publisher:Ljubljana : Slovenska sekcija IEEE : Fakulteta za elektrotehniko, 2024
Year of publishing:2024
ISBN:209062403
Conference organizer:Slovenska sekcija IEEE, Fakulteta za elektrotehniko, Ljubljana

Document is financed by a project

Funder:EC - European Commission
Funding programme:HE
Project number:101079392
Name:Hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders
Acronym:HybridNeuro

Funder:UKRI - UK Research and Innovation
Funding programme:Horizon Europe Guarantee
Project number:10052152
Name:Hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders (HybridNeuro)

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:26.09.2024

Secondary language

Language:Slovenian
Keywords:motorika, elektromiogrami


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