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Introduction of a sEMG Sensor System for Autonomous Use by Inexperienced Users

Wearable devices play an increasing role in the rehabilitation of patients with movement disorders. Although information about muscular activation is highly interesting, no approach exists that allows reliable collection of this information when the sensor is applied autonomously by the patient. Thi...

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Autores principales: Romero Avila, Elisa, Junker, Elmar, Disselhorst-Klug, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767446/
https://www.ncbi.nlm.nih.gov/pubmed/33371409
http://dx.doi.org/10.3390/s20247348
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author Romero Avila, Elisa
Junker, Elmar
Disselhorst-Klug, Catherine
author_facet Romero Avila, Elisa
Junker, Elmar
Disselhorst-Klug, Catherine
author_sort Romero Avila, Elisa
collection PubMed
description Wearable devices play an increasing role in the rehabilitation of patients with movement disorders. Although information about muscular activation is highly interesting, no approach exists that allows reliable collection of this information when the sensor is applied autonomously by the patient. This paper aims to demonstrate the proof-of-principle of an innovative sEMG sensor system, which can be used intuitively by patients while detecting their muscular activation with sufficient accuracy. The sEMG sensor system utilizes a multichannel approach based on 16 sEMG leads arranged circularly around the limb. Its design enables a stable contact between the skin surface and the system’s dry electrodes, fulfills the SENIAM recommendations regarding the electrode size and inter-electrode distance and facilitates a high temporal resolution. The proof-of-principle was demonstrated by elbow flexion/extension movements of 10 subjects, proving that it has root mean square values and a signal-to-noise ratio comparable to commercial systems based on pre-gelled electrodes. Furthermore, it can be easily placed and removed by patients with reduced arm function and without detailed knowledge about the exact positioning of the sEMG electrodes. With its features, the demonstration of the sEMG sensor system’s proof-of-principle positions it as a wearable device that has the potential to monitor muscular activation in home and community settings.
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spelling pubmed-77674462020-12-28 Introduction of a sEMG Sensor System for Autonomous Use by Inexperienced Users Romero Avila, Elisa Junker, Elmar Disselhorst-Klug, Catherine Sensors (Basel) Article Wearable devices play an increasing role in the rehabilitation of patients with movement disorders. Although information about muscular activation is highly interesting, no approach exists that allows reliable collection of this information when the sensor is applied autonomously by the patient. This paper aims to demonstrate the proof-of-principle of an innovative sEMG sensor system, which can be used intuitively by patients while detecting their muscular activation with sufficient accuracy. The sEMG sensor system utilizes a multichannel approach based on 16 sEMG leads arranged circularly around the limb. Its design enables a stable contact between the skin surface and the system’s dry electrodes, fulfills the SENIAM recommendations regarding the electrode size and inter-electrode distance and facilitates a high temporal resolution. The proof-of-principle was demonstrated by elbow flexion/extension movements of 10 subjects, proving that it has root mean square values and a signal-to-noise ratio comparable to commercial systems based on pre-gelled electrodes. Furthermore, it can be easily placed and removed by patients with reduced arm function and without detailed knowledge about the exact positioning of the sEMG electrodes. With its features, the demonstration of the sEMG sensor system’s proof-of-principle positions it as a wearable device that has the potential to monitor muscular activation in home and community settings. MDPI 2020-12-21 /pmc/articles/PMC7767446/ /pubmed/33371409 http://dx.doi.org/10.3390/s20247348 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 Article
Romero Avila, Elisa
Junker, Elmar
Disselhorst-Klug, Catherine
Introduction of a sEMG Sensor System for Autonomous Use by Inexperienced Users
title Introduction of a sEMG Sensor System for Autonomous Use by Inexperienced Users
title_full Introduction of a sEMG Sensor System for Autonomous Use by Inexperienced Users
title_fullStr Introduction of a sEMG Sensor System for Autonomous Use by Inexperienced Users
title_full_unstemmed Introduction of a sEMG Sensor System for Autonomous Use by Inexperienced Users
title_short Introduction of a sEMG Sensor System for Autonomous Use by Inexperienced Users
title_sort introduction of a semg sensor system for autonomous use by inexperienced users
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767446/
https://www.ncbi.nlm.nih.gov/pubmed/33371409
http://dx.doi.org/10.3390/s20247348
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