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Assessment of validity of a high-yield surface electromyogram decomposition
BACKGROUND: Using recordings from a five-pin surface sensor array, a template-based surface electromyogram (sEMG) decomposition system has been developed to identify single motor unit discharge properties. However, the reliability of such template based decomposition results has not been thoroughly...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849018/ https://www.ncbi.nlm.nih.gov/pubmed/24059856 http://dx.doi.org/10.1186/1743-0003-10-99 |
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author | Hu, Xiaogang Rymer, William Z Suresh, Nina L |
author_facet | Hu, Xiaogang Rymer, William Z Suresh, Nina L |
author_sort | Hu, Xiaogang |
collection | PubMed |
description | BACKGROUND: Using recordings from a five-pin surface sensor array, a template-based surface electromyogram (sEMG) decomposition system has been developed to identify single motor unit discharge properties. However, the reliability of such template based decomposition results has not been thoroughly examined except by the developers. The focus of this study was to assess the validity of the motor unit decomposition technique, using EMG recordings from the first dorsal interosseous muscle of able-bodied human subjects. METHODS: Two tests were utilized. In the first test, a spike triggered averaging (STA) analysis was used to derive motor unit action potential (MUAP) parameters. We examined these STA derived MUAP shapes after firing times were perturbed by added timing noise. In the second test, a cross-correlation analysis was performed between the sEMG signal and MUAP trains constructed using STA estimates and their firing times. RESULTS: In the first test, we found that MUAP shape features deteriorated significantly when rather small (0.6-2 ms) timing errors were added, affirming that the decomposed firing times are presumptively valid. The results of the second test reveal that the cross-correlation index between the EMG and MUAP trains increased monotonically up to 0.71 when the identified MUs were progressively added to reconstructed MUAP trains; however, this increment disappeared when the firing times or the MUAP templates were shifted randomly. CONCLUSIONS: Based on our STA selection criteria, our results suggest that the firing times and estimated MUAP shapes for each MU generated by the decomposition algorithms are presumptively valid. |
format | Online Article Text |
id | pubmed-3849018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38490182013-12-04 Assessment of validity of a high-yield surface electromyogram decomposition Hu, Xiaogang Rymer, William Z Suresh, Nina L J Neuroeng Rehabil Research BACKGROUND: Using recordings from a five-pin surface sensor array, a template-based surface electromyogram (sEMG) decomposition system has been developed to identify single motor unit discharge properties. However, the reliability of such template based decomposition results has not been thoroughly examined except by the developers. The focus of this study was to assess the validity of the motor unit decomposition technique, using EMG recordings from the first dorsal interosseous muscle of able-bodied human subjects. METHODS: Two tests were utilized. In the first test, a spike triggered averaging (STA) analysis was used to derive motor unit action potential (MUAP) parameters. We examined these STA derived MUAP shapes after firing times were perturbed by added timing noise. In the second test, a cross-correlation analysis was performed between the sEMG signal and MUAP trains constructed using STA estimates and their firing times. RESULTS: In the first test, we found that MUAP shape features deteriorated significantly when rather small (0.6-2 ms) timing errors were added, affirming that the decomposed firing times are presumptively valid. The results of the second test reveal that the cross-correlation index between the EMG and MUAP trains increased monotonically up to 0.71 when the identified MUs were progressively added to reconstructed MUAP trains; however, this increment disappeared when the firing times or the MUAP templates were shifted randomly. CONCLUSIONS: Based on our STA selection criteria, our results suggest that the firing times and estimated MUAP shapes for each MU generated by the decomposition algorithms are presumptively valid. BioMed Central 2013-09-23 /pmc/articles/PMC3849018/ /pubmed/24059856 http://dx.doi.org/10.1186/1743-0003-10-99 Text en Copyright © 2013 Hu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Hu, Xiaogang Rymer, William Z Suresh, Nina L Assessment of validity of a high-yield surface electromyogram decomposition |
title | Assessment of validity of a high-yield surface electromyogram decomposition |
title_full | Assessment of validity of a high-yield surface electromyogram decomposition |
title_fullStr | Assessment of validity of a high-yield surface electromyogram decomposition |
title_full_unstemmed | Assessment of validity of a high-yield surface electromyogram decomposition |
title_short | Assessment of validity of a high-yield surface electromyogram decomposition |
title_sort | assessment of validity of a high-yield surface electromyogram decomposition |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849018/ https://www.ncbi.nlm.nih.gov/pubmed/24059856 http://dx.doi.org/10.1186/1743-0003-10-99 |
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