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An Ultra-Sensitive Modular Hybrid EMG–FMG Sensor with Floating Electrodes
To improve the reliability and safety of myoelectric prosthetic control, many researchers tend to use multi-modal signals. The combination of electromyography (EMG) and forcemyography (FMG) has been proved to be a practical choice. However, an integrative and compact design of this hybrid sensor is...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506715/ https://www.ncbi.nlm.nih.gov/pubmed/32846982 http://dx.doi.org/10.3390/s20174775 |
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author | Ke, Ang Huang, Jian Chen, Luyao Gao, Zhaolong He, Jiping |
author_facet | Ke, Ang Huang, Jian Chen, Luyao Gao, Zhaolong He, Jiping |
author_sort | Ke, Ang |
collection | PubMed |
description | To improve the reliability and safety of myoelectric prosthetic control, many researchers tend to use multi-modal signals. The combination of electromyography (EMG) and forcemyography (FMG) has been proved to be a practical choice. However, an integrative and compact design of this hybrid sensor is lacking. This paper presents a novel modular EMG–FMG sensor; the sensing module has a novel design that consists of floating electrodes, which act as the sensing probe of both the EMG and FMG. This design improves the integration of the sensor. The whole system contains one data acquisition unit and eight identical sensor modules. Experiments were conducted to evaluate the performance of the sensor system. The results show that the EMG and FMG signals have good consistency under standard conditions; the FMG signal shows a better and more robust performance than the EMG. The average accuracy is 99.07% while using both the EMG and FMG signals for recognition of six hand gestures under standard conditions. Even with two layers of gauze isolated between the sensor and the skin, the average accuracy reaches 90.9% while using only the EMG signal; if we use both the EMG and FMG signals for classification, the average accuracy is 99.42%. |
format | Online Article Text |
id | pubmed-7506715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75067152020-09-26 An Ultra-Sensitive Modular Hybrid EMG–FMG Sensor with Floating Electrodes Ke, Ang Huang, Jian Chen, Luyao Gao, Zhaolong He, Jiping Sensors (Basel) Article To improve the reliability and safety of myoelectric prosthetic control, many researchers tend to use multi-modal signals. The combination of electromyography (EMG) and forcemyography (FMG) has been proved to be a practical choice. However, an integrative and compact design of this hybrid sensor is lacking. This paper presents a novel modular EMG–FMG sensor; the sensing module has a novel design that consists of floating electrodes, which act as the sensing probe of both the EMG and FMG. This design improves the integration of the sensor. The whole system contains one data acquisition unit and eight identical sensor modules. Experiments were conducted to evaluate the performance of the sensor system. The results show that the EMG and FMG signals have good consistency under standard conditions; the FMG signal shows a better and more robust performance than the EMG. The average accuracy is 99.07% while using both the EMG and FMG signals for recognition of six hand gestures under standard conditions. Even with two layers of gauze isolated between the sensor and the skin, the average accuracy reaches 90.9% while using only the EMG signal; if we use both the EMG and FMG signals for classification, the average accuracy is 99.42%. MDPI 2020-08-24 /pmc/articles/PMC7506715/ /pubmed/32846982 http://dx.doi.org/10.3390/s20174775 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 Ke, Ang Huang, Jian Chen, Luyao Gao, Zhaolong He, Jiping An Ultra-Sensitive Modular Hybrid EMG–FMG Sensor with Floating Electrodes |
title | An Ultra-Sensitive Modular Hybrid EMG–FMG Sensor with Floating Electrodes |
title_full | An Ultra-Sensitive Modular Hybrid EMG–FMG Sensor with Floating Electrodes |
title_fullStr | An Ultra-Sensitive Modular Hybrid EMG–FMG Sensor with Floating Electrodes |
title_full_unstemmed | An Ultra-Sensitive Modular Hybrid EMG–FMG Sensor with Floating Electrodes |
title_short | An Ultra-Sensitive Modular Hybrid EMG–FMG Sensor with Floating Electrodes |
title_sort | ultra-sensitive modular hybrid emg–fmg sensor with floating electrodes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506715/ https://www.ncbi.nlm.nih.gov/pubmed/32846982 http://dx.doi.org/10.3390/s20174775 |
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