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Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research

Most students and researchers with limited funding are often looking for simple and low-cost devices for the acquisition of the electromyogram signal (EMG) in an educational or research setting. Thus, off-the-shelf devices are used and they have already been described in the literature, but they are...

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Autores principales: Staderini, Enrico M., Mugnaini, Stefano, Kambampati, Harish, Magrini, Andrea, Gentili, Sandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143621/
https://www.ncbi.nlm.nih.gov/pubmed/35632029
http://dx.doi.org/10.3390/s22103616
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author Staderini, Enrico M.
Mugnaini, Stefano
Kambampati, Harish
Magrini, Andrea
Gentili, Sandro
author_facet Staderini, Enrico M.
Mugnaini, Stefano
Kambampati, Harish
Magrini, Andrea
Gentili, Sandro
author_sort Staderini, Enrico M.
collection PubMed
description Most students and researchers with limited funding are often looking for simple and low-cost devices for the acquisition of the electromyogram signal (EMG) in an educational or research setting. Thus, off-the-shelf devices are used and they have already been described in the literature, but they are used without considering their real performances, which are, in general, quite poor from the electronic and signal processing points of view. It is the purpose of this communication to present the evidence of these issues, and to describe an improved version of the “classical” duo, composed of the common ECG/EMG Olimex board and the Arduino microprocessor board. In this case, the Arduino-DUE is used. Three main points are highlighted in this paper: (a) the bandpass characteristics of the ECG/EMG Olimex board and how they can be improved to cope with EMG bandwidth requirements; (b) the increase in sampling frequency of the signal; and, finally, (c) the possibility of automatic detection of more ECG/EMG Olimex boards installed at the same time as the shields on the Arduino-DUE board. Very simple and low-cost modifications on the ECG/EMG Olimex board could deliver a much better performing multichannel EMG acquisition system, suitable for educational classroom experiments and early proof-of-concept research.
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spelling pubmed-91436212022-05-29 Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research Staderini, Enrico M. Mugnaini, Stefano Kambampati, Harish Magrini, Andrea Gentili, Sandro Sensors (Basel) Technical Note Most students and researchers with limited funding are often looking for simple and low-cost devices for the acquisition of the electromyogram signal (EMG) in an educational or research setting. Thus, off-the-shelf devices are used and they have already been described in the literature, but they are used without considering their real performances, which are, in general, quite poor from the electronic and signal processing points of view. It is the purpose of this communication to present the evidence of these issues, and to describe an improved version of the “classical” duo, composed of the common ECG/EMG Olimex board and the Arduino microprocessor board. In this case, the Arduino-DUE is used. Three main points are highlighted in this paper: (a) the bandpass characteristics of the ECG/EMG Olimex board and how they can be improved to cope with EMG bandwidth requirements; (b) the increase in sampling frequency of the signal; and, finally, (c) the possibility of automatic detection of more ECG/EMG Olimex boards installed at the same time as the shields on the Arduino-DUE board. Very simple and low-cost modifications on the ECG/EMG Olimex board could deliver a much better performing multichannel EMG acquisition system, suitable for educational classroom experiments and early proof-of-concept research. MDPI 2022-05-10 /pmc/articles/PMC9143621/ /pubmed/35632029 http://dx.doi.org/10.3390/s22103616 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Technical Note
Staderini, Enrico M.
Mugnaini, Stefano
Kambampati, Harish
Magrini, Andrea
Gentili, Sandro
Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research
title Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research
title_full Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research
title_fullStr Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research
title_full_unstemmed Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research
title_short Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research
title_sort improved multichannel electromyograph using off-the-shelf components for education and research
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143621/
https://www.ncbi.nlm.nih.gov/pubmed/35632029
http://dx.doi.org/10.3390/s22103616
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