DocumentCode
31940
Title
Examination of Poststroke Alteration in Motor Unit Firing Behavior Using High-Density Surface EMG Decomposition
Author
Xiaoyan Li ; Holobar, Ales ; Gazzoni, Marco ; Merletti, Roberto ; Rymer, William Zev ; Ping Zhou
Author_Institution
Dept. of Phys. Med. & Rehabilitation, Univ. of Texas Health Sci. Center, Houston, TX, USA
Volume
62
Issue
5
fYear
2015
fDate
May-15
Firstpage
1242
Lastpage
1252
Abstract
Recent advances in high-density surface electromyogram (EMG) decomposition have made it a feasible task to discriminate single motor unit activity from surface EMG interference patterns, thus providing a noninvasive approach for examination of motor unit control properties. In the current study, we applied high-density surface EMG recording and decomposition techniques to assess motor unit firing behavior alterations poststroke. Surface EMG signals were collected using a 64-channel 2-D electrode array from the paretic and contralateral first dorsal interosseous (FDI) muscles of nine hemiparetic stroke subjects at different isometric discrete contraction levels between 2 to 10 N with a 2 N increment step. Motor unit firing rates were extracted through decomposition of the high-density surface EMG signals and compared between paretic and contralateral muscles. Across the nine tested subjects, paretic FDI muscles showed decreased motor unit firing rates compared with contralateral muscles at different contraction levels. Regression analysis indicated a linear relation between the mean motor unit firing rate and the muscle contraction level for both paretic and contralateral muscles (p <; 0.001), with the former demonstrating a lower increment rate (0.32 pulses per second (pps)/N) compared with the latter (0.67 pps/N). The coefficient of variation (averaged over the contraction levels) of the motor unit firing rates for the paretic muscles (0.21 ± 0.012) was significantly higher than for the contralateral muscles (0.17 ± 0.014) (p <; 0.05). This study provides direct evidence of motor unit firing behavior alterations poststroke using surface EMG, which can be an important factor contributing to hemiparetic muscle weakness.
Keywords
electromyography; medical disorders; medical signal processing; muscle; regression analysis; 64-channel 2D electrode array; coefficient of variation; contralateral first dorsal interosseous muscle; hemiparetic muscle weakness; hemiparetic stroke; high-density surface EMG decomposition; high-density surface EMG recording; high-density surface electromyogram decomposition; isometric discrete contraction levels; motor unit control properties; motor unit firing behavior; motor unit firing rates; muscle contraction level; paretic first dorsal interosseous muscle; post stroke alteration examination; regression analysis; surface EMG interference patterns; Electrodes; Electromyography; Fingers; Firing; Force; Indexes; Muscles; Decomposition; Hemiparetic stroke; decomposition; hemiparetic stroke; high density surface EMG; high-density surface EMG; motor unit firing rate; muscle weakness;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2014.2368514
Filename
6949607
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