The Decomposition Method of Surface Electromyographic Signals: A Novel Approach for Motor Unit Activity and Recruitment Description

. 2024 Jul 17 ; 73 (3) : 343-349.

Jazyk angličtina Země Česko Médium print

Typ dokumentu časopisecké články, přehledy

Perzistentní odkaz   https://www.medvik.cz/link/pmid39027952

This review aims to describe a novel method in the field of electromyography (EMG), established and improved upon in the last three decades that is able to observe specific parameters of muscle units (MUs). This concept is called the decomposition method, based on its ability to decompose a surface EMG signal to describe muscle activity on the level of individual muscle units in contrast to the level of the whole muscle, as is customary for regular surface electromyography. We provide a brief overview of its history, constituent parts regarding both hardware and software and possible applications. We also acknowledge the state of the research, regarding the background of the decomposition algorithm, the main software component responsible for identifying individual motor units and their parameters. As a result of the ability to describe the behavior of individual motor units during muscle contractions, key concepts in neuromuscular physiology have been put forward, pertaining to the hierarchy of MUs during their recruitment. Together with the recent application for cyclic contractions and gait, the decomposition method is beginning to open up wider possibilities of enquiry.

Zobrazit více v PubMed

Shishmarev D. Excitation-contraction coupling in skeletal muscle: recent progress and unanswered questions. Biophys Rev. 2020;12:143–153. doi: 10.1007/s12551-020-00610-x. PubMed DOI PMC

Žarković D, Šorfová M, Tufano JJ, Kutílek P, Vítečková S, Ravnik D, Groleger-Sršen K, Cikajlo I, Otáhal J. Gait changes following robot-assisted gait training in children with cerebral palsy. Physiol Res. 2021;70(Suppl 3):S397–S408. doi: 10.33549/physiolres.934840. PubMed DOI PMC

Bashford J, Mills K, Shaw C. The evolving role of surface electromyography in amyotrophic lateral sclerosis: A systematic review. Clin Neurophysiol. 2020;131:942–950. doi: 10.1016/j.clinph.2019.12.007. PubMed DOI PMC

De Luca CJ, Contessa P. Biomechanical benefits of the Onion-Skin motor unit control scheme. J Biomech. 2015;48:195–203. doi: 10.1016/j.jbiomech.2014.12.003. PubMed DOI PMC

Jombík P, Spodniak P, Bahýl’ V, Necpál J. Visualisation of Parkinsonian, essential and physiological tremor planes in 3Dspace. Physiol Res. 2020;69:331–337. doi: 10.33549/physiolres.934066. PubMed DOI PMC

De Luca CJ, Adam A, Wotiz R, Gilmore LD, Nawab SH. Decomposition of surface EMG signals. J Neurophysiol. 2006;96:1646–1657. doi: 10.1152/jn.00009.2006. PubMed DOI

De Luca CJ, LeFever RS, McCue MP, Xenakis AP. Control scheme governing concurrently active human motor units during voluntary contractions. J Physiol. 1982;329:129–142. doi: 10.1113/jphysiol.1982.sp014294. PubMed DOI PMC

Mambrito B, De Luca CJ. A technique for the detection, decomposition and analysis of the EMG signal. Electroencephal Clin Neurophysiol. 1984;58:175–188. doi: 10.1016/0013-4694(84)90031-2. PubMed DOI

Enoka RM. Physiological validation of the decomposition of surface EMG signals. J Electromyogr Kinesiol. 2019;46:70–83. doi: 10.1016/j.jelekin.2019.03.010. PubMed DOI

De Luca CJ, Chang SS, Roy SH, Kline JC, Nawab SH. Decomposition of surface EMG signals from cyclic dynamic contractions. J Neurophysiol. 2015;113:1941–1951. doi: 10.1152/jn.00555.2014. PubMed DOI PMC

Lindley S. Dissertation. University of Central Lancashire; The Neuromuscular and Mechanical Control of the Knee Joint in Patellofemoral Pain Sufferers Preston, 2015.

De Luca CJ, Hostage EC. Relationship between firing rate and recruitment threshold of motoneurons in voluntary isometric contractions. J Neurophysiol. 2010;104:1034–1046. doi: 10.1152/jn.01018.2009. PubMed DOI PMC

Girts RM, Mota JA, Harmon KK, MacLennan RJ, Stock MS. Vastus Lateralis Motor Unit Recruitment Thresholds Are Compressed towards Lower Forces in Older Men. J Frailty Aging. 2020;9:191–196. PubMed

Zaheer F, Roy SH, De Luca CJ. Preffered sensor sites for surface EMG signal decomposition. Physiol Meas. 2012;33:195–206. doi: 10.1088/0967-3334/33/2/195. PubMed DOI PMC

De Luca CJ, Erim Z. Common drive of motor units in regulation of muscle force. Trends Neurosci. 1994;17:299–305. doi: 10.1016/0166-2236(94)90064-7. PubMed DOI

De Luca CJ, Contessa P. Hierarchical control of motor units in voluntary contractions. J Neurophysiol. 2012;107:178–195. doi: 10.1152/jn.00961.2010. PubMed DOI PMC

Nawab SH, Chang SS, De Luca CJ. High-yield decomposition of surface EMG signals. Clin Neurophysiol. 2010;10:1602–1615. doi: 10.1016/j.clinph.2009.11.092. PubMed DOI PMC

Mills KR. The basics of electromyography. J Neurol Neurosurg Psychiatry. 2005;76(Suppl 2):ii32–ii35. doi: 10.1136/jnnp.2005.069211. PubMed DOI PMC

Stožer A, Vodopivc P, Križančić Bombek L. Pathophysiology of exercise-induced muscle damage and its structural, functional, metabolic, and clinical consequences. Physiol Res. 2020;69:565–598. doi: 10.33549/physiolres.934371. PubMed DOI PMC

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...