Abstract
Human spinal cord injuries (SCI) disrupt the pathways between brain and spinal cord, resulting in substantial impairment and loss of function. Currently, we do not have the ability to precisely quantify the 'functional' level of motor injury. The aim of this study is to determine if high-density surface electromyography imaging (SEI) can be used to characterize the location and extent of the spinal lesion. SEI is a safe and non-invasive technique, which uses several electrodes to provide a map of muscle activity. We applied the SEI technique to characterize muscle activity in individuals with chronic incomplete cervical SCI. Surface electromyogram signals (sEMG) from Biceps Brachii (BB) were recorded at submaximal levels (20%, 40%, and 60%) of maximum voluntary contractions (MVC) during isometric elbow flexion, shoulder flexion, and elbow abduction in two individuals with SCI. Through time-domain analysis of the collected data, we detected signs of de-innervation and re-innervations by analyzing the innervation zones (IZ) on the left and right BB muscles. We found that the distribution of IZs was different between the two sides. In addition, analysis of sEMG data collected at rest (no voluntary contraction) showed evidence of superficial active motor units that were active during rest (in the absence of spasms). These findings highlight the potential of SEI technique as a potential clinical tool to quantitatively describe the extent of the damage to motor spinal circuitry, and provide added precision to the clinical examinations and radiological findings.
Original language | English (US) |
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Title of host publication | 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 3757-3760 |
Number of pages | 4 |
ISBN (Electronic) | 9781457702204 |
DOIs | |
State | Published - Oct 13 2016 |
Event | 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States Duration: Aug 16 2016 → Aug 20 2016 |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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Volume | 2016-October |
ISSN (Print) | 1557-170X |
Other
Other | 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 |
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Country/Territory | United States |
City | Orlando |
Period | 8/16/16 → 8/20/16 |
Funding
Research supported by NIDILRR grant H133P110013.
ASJC Scopus subject areas
- Signal Processing
- Health Informatics
- Computer Vision and Pattern Recognition
- Biomedical Engineering