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A biosignal analysis for reducing prosthetic control durations: a proposed method using electromyographic and mechanomyographic control theory
OBJECTIVES: This project proposes a unique methodology utilizing electromyography and mechanomyography to determine the intensity of a desired movement which may be useful in further developing decomposition algorithms for prosthetic controls. METHODS: Ten males performed isometric leg extension mus...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Society of Musculoskeletal and Neuronal Interactions
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6587080/ https://www.ncbi.nlm.nih.gov/pubmed/31186384 |
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author | Smith, Cory M. Housh, Terry J. Hill, Ethan C. Keller, Joshua L. Johnson, Glen O. Schmidt, Richard J. |
author_facet | Smith, Cory M. Housh, Terry J. Hill, Ethan C. Keller, Joshua L. Johnson, Glen O. Schmidt, Richard J. |
author_sort | Smith, Cory M. |
collection | PubMed |
description | OBJECTIVES: This project proposes a unique methodology utilizing electromyography and mechanomyography to determine the intensity of a desired movement which may be useful in further developing decomposition algorithms for prosthetic controls. METHODS: Ten males performed isometric leg extension muscle actions corresponding to 20, 40, 60, 80, and 100% of their maximal voluntary isometric contraction force. The duration and amplitude of the gross lateral movement of the mechanomyographic signal as well as electromechanical delay were measured during each contraction. RESULTS: The results indicated that the duration of the gross lateral movement decreased with increases in intensity (20<40=60<80<100% maximal voluntary isometric contraction) and that the amplitude of the gross lateral movement increased with increases in intensity (20<40=60<80<100% maximal voluntary isometric contraction). In addition, electromechanical delay decreased with each increase in intensity. These measurements occurred within 40 ms from the onset of the electromyographic signal. CONCLUSIONS: Thus, these measurements may be incorporated into existing prosthetic control algorithms to reduce grasp times and identify the intensity of a movement earlier. In addition, the gross lateral movement and electromechanical delay measurements may provide more intuitive controls for prosthetic users. |
format | Online Article Text |
id | pubmed-6587080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | International Society of Musculoskeletal and Neuronal Interactions |
record_format | MEDLINE/PubMed |
spelling | pubmed-65870802019-06-25 A biosignal analysis for reducing prosthetic control durations: a proposed method using electromyographic and mechanomyographic control theory Smith, Cory M. Housh, Terry J. Hill, Ethan C. Keller, Joshua L. Johnson, Glen O. Schmidt, Richard J. J Musculoskelet Neuronal Interact Original Article OBJECTIVES: This project proposes a unique methodology utilizing electromyography and mechanomyography to determine the intensity of a desired movement which may be useful in further developing decomposition algorithms for prosthetic controls. METHODS: Ten males performed isometric leg extension muscle actions corresponding to 20, 40, 60, 80, and 100% of their maximal voluntary isometric contraction force. The duration and amplitude of the gross lateral movement of the mechanomyographic signal as well as electromechanical delay were measured during each contraction. RESULTS: The results indicated that the duration of the gross lateral movement decreased with increases in intensity (20<40=60<80<100% maximal voluntary isometric contraction) and that the amplitude of the gross lateral movement increased with increases in intensity (20<40=60<80<100% maximal voluntary isometric contraction). In addition, electromechanical delay decreased with each increase in intensity. These measurements occurred within 40 ms from the onset of the electromyographic signal. CONCLUSIONS: Thus, these measurements may be incorporated into existing prosthetic control algorithms to reduce grasp times and identify the intensity of a movement earlier. In addition, the gross lateral movement and electromechanical delay measurements may provide more intuitive controls for prosthetic users. International Society of Musculoskeletal and Neuronal Interactions 2019 /pmc/articles/PMC6587080/ /pubmed/31186384 Text en Copyright: © Journal of Musculoskeletal and Neuronal Interactions http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 4.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Smith, Cory M. Housh, Terry J. Hill, Ethan C. Keller, Joshua L. Johnson, Glen O. Schmidt, Richard J. A biosignal analysis for reducing prosthetic control durations: a proposed method using electromyographic and mechanomyographic control theory |
title | A biosignal analysis for reducing prosthetic control durations: a proposed method using electromyographic and mechanomyographic control theory |
title_full | A biosignal analysis for reducing prosthetic control durations: a proposed method using electromyographic and mechanomyographic control theory |
title_fullStr | A biosignal analysis for reducing prosthetic control durations: a proposed method using electromyographic and mechanomyographic control theory |
title_full_unstemmed | A biosignal analysis for reducing prosthetic control durations: a proposed method using electromyographic and mechanomyographic control theory |
title_short | A biosignal analysis for reducing prosthetic control durations: a proposed method using electromyographic and mechanomyographic control theory |
title_sort | biosignal analysis for reducing prosthetic control durations: a proposed method using electromyographic and mechanomyographic control theory |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6587080/ https://www.ncbi.nlm.nih.gov/pubmed/31186384 |
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