@article{Hug:2021:10.1016/j.jelekin.2021.102548,
author = {Hug, F and Avrillon, S and Del, Vecchio A and Casolo, A and Ibanez, J and Nuccio, S and Rossato, J and Holobar, A and Farina, D},
doi = {10.1016/j.jelekin.2021.102548},
journal = {Journal of Electromyography and Kinesiology},
pages = {102548--102548},
title = {Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators},
url = {http://dx.doi.org/10.1016/j.jelekin.2021.102548},
volume = {58},
year = {2021}
}

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TY  - JOUR
AB  - There is a growing interest in decomposing high-density surface electromyography (HDsEMG) into motor unit spike trains to improve knowledge on the neural control of muscle contraction. However, the reliability of decomposition approaches is sometimes questioned, especially because they require manual editing of the outputs. We aimed to assess the inter-operator reliability of the identification of motor unit spike trains. Eight operators with varying experience in HDsEMG decomposition were provided with the same data extracted using the convolutive kernel compensation method. They were asked to manually edit them following established procedures. Data included signals from three lower leg muscles and different submaximal intensities. After manual analysis, 126 ± 5 motor units were retained (range across operators: 119-134). A total of 3380 rate of agreement values were calculated (28 pairwise comparisons × 11 contractions/muscles × 4-28 motor units). The median rate of agreement value was 99.6%. Inter-operator reliability was excellent for both mean discharge rate and time at recruitment (intraclass correlation coefficient > 0.99). These results show that when provided with the same decomposed data and the same basic instructions, operators converge toward almost identical results. Our data have been made available so that they can be used for training new operators.
AU  - Hug,F
AU  - Avrillon,S
AU  - Del,Vecchio A
AU  - Casolo,A
AU  - Ibanez,J
AU  - Nuccio,S
AU  - Rossato,J
AU  - Holobar,A
AU  - Farina,D
DO  - 10.1016/j.jelekin.2021.102548
EP  - 102548
PY  - 2021///
SN  - 1050-6411
SP  - 102548
TI  - Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators
T2  - Journal of Electromyography and Kinesiology
UR  - http://dx.doi.org/10.1016/j.jelekin.2021.102548
UR  - https://www.ncbi.nlm.nih.gov/pubmed/33838590
UR  - http://hdl.handle.net/10044/1/89140
VL  - 58
ER  - 

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