Cargando…
EMG Characterization and Processing in Production Engineering
Electromyography (EMG) signals are biomedical signals that measure electrical currents generated during muscle contraction. These signals are strongly influenced by physiological and anatomical characteristics of the muscles and represent the neuromuscular activities of the human body. The evolution...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766856/ https://www.ncbi.nlm.nih.gov/pubmed/33419283 http://dx.doi.org/10.3390/ma13245815 |
_version_ | 1783628818878038016 |
---|---|
author | del Olmo, Manuel Domingo, Rosario |
author_facet | del Olmo, Manuel Domingo, Rosario |
author_sort | del Olmo, Manuel |
collection | PubMed |
description | Electromyography (EMG) signals are biomedical signals that measure electrical currents generated during muscle contraction. These signals are strongly influenced by physiological and anatomical characteristics of the muscles and represent the neuromuscular activities of the human body. The evolution of EMG analysis and acquisition techniques makes this technology more reliable for production engineering applications, overcoming some of its inherent issues. Taking as an example, the fatigue monitoring of workers as well as enriched human–machine interaction (HMI) systems used in collaborative tasks are now possible with this technology. The main objective of this research is to evaluate the current implementation of EMG technology within production engineering, its weaknesses, opportunities, and synergies with other technologies, with the aim of developing more natural and efficient HMI systems that could improve the safety and productivity within production environments. |
format | Online Article Text |
id | pubmed-7766856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77668562020-12-28 EMG Characterization and Processing in Production Engineering del Olmo, Manuel Domingo, Rosario Materials (Basel) Review Electromyography (EMG) signals are biomedical signals that measure electrical currents generated during muscle contraction. These signals are strongly influenced by physiological and anatomical characteristics of the muscles and represent the neuromuscular activities of the human body. The evolution of EMG analysis and acquisition techniques makes this technology more reliable for production engineering applications, overcoming some of its inherent issues. Taking as an example, the fatigue monitoring of workers as well as enriched human–machine interaction (HMI) systems used in collaborative tasks are now possible with this technology. The main objective of this research is to evaluate the current implementation of EMG technology within production engineering, its weaknesses, opportunities, and synergies with other technologies, with the aim of developing more natural and efficient HMI systems that could improve the safety and productivity within production environments. MDPI 2020-12-20 /pmc/articles/PMC7766856/ /pubmed/33419283 http://dx.doi.org/10.3390/ma13245815 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review del Olmo, Manuel Domingo, Rosario EMG Characterization and Processing in Production Engineering |
title | EMG Characterization and Processing in Production Engineering |
title_full | EMG Characterization and Processing in Production Engineering |
title_fullStr | EMG Characterization and Processing in Production Engineering |
title_full_unstemmed | EMG Characterization and Processing in Production Engineering |
title_short | EMG Characterization and Processing in Production Engineering |
title_sort | emg characterization and processing in production engineering |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766856/ https://www.ncbi.nlm.nih.gov/pubmed/33419283 http://dx.doi.org/10.3390/ma13245815 |
work_keys_str_mv | AT delolmomanuel emgcharacterizationandprocessinginproductionengineering AT domingorosario emgcharacterizationandprocessinginproductionengineering |