Stretchable and durable HD-sEMG electrodes for accurate recognition of swallowing activities on complex epidermal surfaces

Abstract Surface electromyography (sEMG) is widely used in monitoring human health. Nonetheless, it is challenging to capture high-fidelity sEMG recordings in regions with intricate curved surfaces such as the larynx, because regular sEMG electrodes have stiff structures. In this study, we developed...

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Main Authors: Ding Zhang, Zhitao Chen, Longya Xiao, Beichen Zhu, RuoXuan Wu, ChengJian Ou, Yi Ma, Longhan Xie, Hongjie Jiang
Format: Article
Language:English
Published: Nature Publishing Group 2023-09-01
Series:Microsystems & Nanoengineering
Online Access:https://doi.org/10.1038/s41378-023-00591-3
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author Ding Zhang
Zhitao Chen
Longya Xiao
Beichen Zhu
RuoXuan Wu
ChengJian Ou
Yi Ma
Longhan Xie
Hongjie Jiang
author_facet Ding Zhang
Zhitao Chen
Longya Xiao
Beichen Zhu
RuoXuan Wu
ChengJian Ou
Yi Ma
Longhan Xie
Hongjie Jiang
author_sort Ding Zhang
collection DOAJ
description Abstract Surface electromyography (sEMG) is widely used in monitoring human health. Nonetheless, it is challenging to capture high-fidelity sEMG recordings in regions with intricate curved surfaces such as the larynx, because regular sEMG electrodes have stiff structures. In this study, we developed a stretchable, high-density sEMG electrode array via layer-by-layer printing and lamination. The electrode offered a series of excellent human‒machine interface features, including conformal adhesion to the skin, high electron-to-ion conductivity (and thus lower contact impedance), prolonged environmental adaptability to resist water evaporation, and epidermal biocompatibility. This made the electrode more appropriate than commercial electrodes for long-term wearable, high-fidelity sEMG recording devices at complicated skin interfaces. Systematic in vivo studies were used to investigate its ability to classify swallowing activities, which was accomplished with high accuracy by decoding the sEMG signals from the chin via integration with an ear-mounted wearable system and machine learning algorithms. The results demonstrated the clinical feasibility of the system for noninvasive and comfortable recognition of swallowing motions for comfortable dysphagia rehabilitation.
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spelling doaj.art-580d86c6a7ad4e5f98d941ca7fc49d692023-11-26T13:37:48ZengNature Publishing GroupMicrosystems & Nanoengineering2055-74342023-09-019111410.1038/s41378-023-00591-3Stretchable and durable HD-sEMG electrodes for accurate recognition of swallowing activities on complex epidermal surfacesDing Zhang0Zhitao Chen1Longya Xiao2Beichen Zhu3RuoXuan Wu4ChengJian Ou5Yi Ma6Longhan Xie7Hongjie Jiang8Shien-Ming Wu School of Intelligent Engineering, South China University of TechnologyShien-Ming Wu School of Intelligent Engineering, South China University of TechnologyShien-Ming Wu School of Intelligent Engineering, South China University of TechnologyShien-Ming Wu School of Intelligent Engineering, South China University of TechnologySchool of Biomedical Sciences and Engineering, South China University of TechnologyShien-Ming Wu School of Intelligent Engineering, South China University of TechnologyShien-Ming Wu School of Intelligent Engineering, South China University of TechnologyShien-Ming Wu School of Intelligent Engineering, South China University of TechnologyShien-Ming Wu School of Intelligent Engineering, South China University of TechnologyAbstract Surface electromyography (sEMG) is widely used in monitoring human health. Nonetheless, it is challenging to capture high-fidelity sEMG recordings in regions with intricate curved surfaces such as the larynx, because regular sEMG electrodes have stiff structures. In this study, we developed a stretchable, high-density sEMG electrode array via layer-by-layer printing and lamination. The electrode offered a series of excellent human‒machine interface features, including conformal adhesion to the skin, high electron-to-ion conductivity (and thus lower contact impedance), prolonged environmental adaptability to resist water evaporation, and epidermal biocompatibility. This made the electrode more appropriate than commercial electrodes for long-term wearable, high-fidelity sEMG recording devices at complicated skin interfaces. Systematic in vivo studies were used to investigate its ability to classify swallowing activities, which was accomplished with high accuracy by decoding the sEMG signals from the chin via integration with an ear-mounted wearable system and machine learning algorithms. The results demonstrated the clinical feasibility of the system for noninvasive and comfortable recognition of swallowing motions for comfortable dysphagia rehabilitation.https://doi.org/10.1038/s41378-023-00591-3
spellingShingle Ding Zhang
Zhitao Chen
Longya Xiao
Beichen Zhu
RuoXuan Wu
ChengJian Ou
Yi Ma
Longhan Xie
Hongjie Jiang
Stretchable and durable HD-sEMG electrodes for accurate recognition of swallowing activities on complex epidermal surfaces
Microsystems & Nanoengineering
title Stretchable and durable HD-sEMG electrodes for accurate recognition of swallowing activities on complex epidermal surfaces
title_full Stretchable and durable HD-sEMG electrodes for accurate recognition of swallowing activities on complex epidermal surfaces
title_fullStr Stretchable and durable HD-sEMG electrodes for accurate recognition of swallowing activities on complex epidermal surfaces
title_full_unstemmed Stretchable and durable HD-sEMG electrodes for accurate recognition of swallowing activities on complex epidermal surfaces
title_short Stretchable and durable HD-sEMG electrodes for accurate recognition of swallowing activities on complex epidermal surfaces
title_sort stretchable and durable hd semg electrodes for accurate recognition of swallowing activities on complex epidermal surfaces
url https://doi.org/10.1038/s41378-023-00591-3
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