Single channel surface electromyogram deconvolution to explore motor unit discharges

2019 ◽  
Vol 57 (9) ◽  
pp. 2045-2054 ◽  
Author(s):  
Luca Mesin
Keyword(s):  
Motor Unit ◽  
Single Channel ◽  
Surface Electromyogram ◽  
Channel Surface

scholarly journals Motor Unit Discharges from Multi-Kernel Deconvolution of Single Channel Surface Electromyogram

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 2022
Author(s):  
Luca Mesin
Keyword(s):  
Single Channel ◽  
Motor Units ◽  
Single Channels ◽  
Surface Electromyogram ◽  
Non Invasive ◽  
Parallel Fibres ◽  
Channel Surface ◽  
Large Phase ◽  
Cross Correlations

Surface electromyogram (EMG) finds many applications in the non-invasive characterization of muscles. Extracting information on the control of motor units (MU) is difficult when using single channels, e.g., due to the low selectivity and large phase cancellations of MU action potentials (MUAPs). In this paper, we propose a new method to face this problem in the case of a single differential channel. The signal is approximated as a sum of convolutions of different kernels (adapted to the signal) and firing patterns, whose sum is the estimation of the cumulative MU firings. Three simulators were used for testing: muscles of parallel fibres with either two innervation zones (IZs, thus, with MUAPs of different phases) or one IZ and a model with fibres inclined with respect to the skin. Simulations were prepared for different fat thicknesses, distributions of conduction velocity, maximal firing rates, synchronizations of MU discharges, and variability of the inter-spike interval. The performances were measured in terms of cross-correlations of the estimated and simulated cumulative MU firings in the range of 0–50 Hz and compared with those of a state-of-the-art single-kernel algorithm. The median cross-correlations for multi-kernel/single-kernel approaches were 92.2%/82.4%, 98.1%/97.6%, and 95.0%/91.0% for the models with two IZs, one IZ (parallel fibres), and inclined fibres, respectively (all statistically significant differences, which were larger when the MUAP shapes were of greater difference).

Motor unit recruitment and bursts of activity in the surface electromyogram during a sustained contraction

2008 ◽  
Vol 37 (6) ◽  
pp. 745-753 ◽  
Author(s):  
Zachary A. Riley ◽  
Mary E. Terry ◽  
Alberto Mendez-Villanueva ◽  
Jane C. Litsey ◽  
Roger M. Enoka
Keyword(s):  
Motor Unit ◽  
Motor Unit Recruitment ◽  
Surface Electromyogram ◽  
Sustained Contraction
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