A Mass-Producible Washable Smart Garment with Embedded Textile EMG Electrodes for Control of Myoelectric Prostheses: A Pilot Study

Electromyography (EMG) is the resulting electrical signal from muscle activity, commonly used as a proxy for users’ intent in voluntary control of prosthetic devices. EMG signals are recorded with gold standard Ag/AgCl gel electrodes, though there are limitations in continuous use applications, with...

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Main Authors: Milad Alizadeh-Meghrazi, Gurjant Sidhu, Saransh Jain, Michael Stone, Ladan Eskandarian, Amirali Toossi, Milos R. Popovic
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/2/666
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author Milad Alizadeh-Meghrazi
Gurjant Sidhu
Saransh Jain
Michael Stone
Ladan Eskandarian
Amirali Toossi
Milos R. Popovic
author_facet Milad Alizadeh-Meghrazi
Gurjant Sidhu
Saransh Jain
Michael Stone
Ladan Eskandarian
Amirali Toossi
Milos R. Popovic
author_sort Milad Alizadeh-Meghrazi
collection DOAJ
description Electromyography (EMG) is the resulting electrical signal from muscle activity, commonly used as a proxy for users’ intent in voluntary control of prosthetic devices. EMG signals are recorded with gold standard Ag/AgCl gel electrodes, though there are limitations in continuous use applications, with potential skin irritations and discomfort. Alternative dry solid metallic electrodes also face long-term usability and comfort challenges due to their inflexible and non-breathable structures. This is critical when the anatomy of the targeted body region is variable (e.g., residual limbs of individuals with amputation), and conformal contact is essential. In this study, textile electrodes were developed, and their performance in recording EMG signals was compared to gel electrodes. Additionally, to assess the reusability and robustness of the textile electrodes, the effect of 30 consumer washes was investigated. Comparisons were made between the signal-to-noise ratio (SNR), with no statistically significant difference, and with the power spectral density (PSD), showing a high correlation. Subsequently, a fully textile sleeve was fabricated covering the forearm, with 14 textile electrodes. For three individuals, an artificial neural network model was trained, capturing the EMG of 7 distinct finger movements. The personalized models were then used to successfully control a myoelectric prosthetic hand.
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spelling doaj.art-c5ed07bc6ada4a6c99c625cedaf139652023-11-23T15:22:27ZengMDPI AGSensors1424-82202022-01-0122266610.3390/s22020666A Mass-Producible Washable Smart Garment with Embedded Textile EMG Electrodes for Control of Myoelectric Prostheses: A Pilot StudyMilad Alizadeh-Meghrazi0Gurjant Sidhu1Saransh Jain2Michael Stone3Ladan Eskandarian4Amirali Toossi5Milos R. Popovic6The Institute for Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, CanadaMyant Inc., Toronto, ON M9W 1B6, CanadaMyant Inc., Toronto, ON M9W 1B6, CanadaMyant Inc., Toronto, ON M9W 1B6, CanadaMyant Inc., Toronto, ON M9W 1B6, CanadaMyant Inc., Toronto, ON M9W 1B6, CanadaThe Institute for Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, CanadaElectromyography (EMG) is the resulting electrical signal from muscle activity, commonly used as a proxy for users’ intent in voluntary control of prosthetic devices. EMG signals are recorded with gold standard Ag/AgCl gel electrodes, though there are limitations in continuous use applications, with potential skin irritations and discomfort. Alternative dry solid metallic electrodes also face long-term usability and comfort challenges due to their inflexible and non-breathable structures. This is critical when the anatomy of the targeted body region is variable (e.g., residual limbs of individuals with amputation), and conformal contact is essential. In this study, textile electrodes were developed, and their performance in recording EMG signals was compared to gel electrodes. Additionally, to assess the reusability and robustness of the textile electrodes, the effect of 30 consumer washes was investigated. Comparisons were made between the signal-to-noise ratio (SNR), with no statistically significant difference, and with the power spectral density (PSD), showing a high correlation. Subsequently, a fully textile sleeve was fabricated covering the forearm, with 14 textile electrodes. For three individuals, an artificial neural network model was trained, capturing the EMG of 7 distinct finger movements. The personalized models were then used to successfully control a myoelectric prosthetic hand.https://www.mdpi.com/1424-8220/22/2/666electromyographysmart textilesdry-contact electrodese-textileconductive elastomeric yarnknitted sensor
spellingShingle Milad Alizadeh-Meghrazi
Gurjant Sidhu
Saransh Jain
Michael Stone
Ladan Eskandarian
Amirali Toossi
Milos R. Popovic
A Mass-Producible Washable Smart Garment with Embedded Textile EMG Electrodes for Control of Myoelectric Prostheses: A Pilot Study
Sensors
electromyography
smart textiles
dry-contact electrodes
e-textile
conductive elastomeric yarn
knitted sensor
title A Mass-Producible Washable Smart Garment with Embedded Textile EMG Electrodes for Control of Myoelectric Prostheses: A Pilot Study
title_full A Mass-Producible Washable Smart Garment with Embedded Textile EMG Electrodes for Control of Myoelectric Prostheses: A Pilot Study
title_fullStr A Mass-Producible Washable Smart Garment with Embedded Textile EMG Electrodes for Control of Myoelectric Prostheses: A Pilot Study
title_full_unstemmed A Mass-Producible Washable Smart Garment with Embedded Textile EMG Electrodes for Control of Myoelectric Prostheses: A Pilot Study
title_short A Mass-Producible Washable Smart Garment with Embedded Textile EMG Electrodes for Control of Myoelectric Prostheses: A Pilot Study
title_sort mass producible washable smart garment with embedded textile emg electrodes for control of myoelectric prostheses a pilot study
topic electromyography
smart textiles
dry-contact electrodes
e-textile
conductive elastomeric yarn
knitted sensor
url https://www.mdpi.com/1424-8220/22/2/666
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