Wearable Liquid Metal Composite with Skin-Adhesive Chitosan–Alginate–Chitosan Hydrogel for Stable Electromyogram Signal Monitoring
In wearable bioelectronics, various studies have focused on enhancing prosthetic control accuracy by improving the quality of physiological signals. The fabrication of conductive composites through the addition of metal fillers is one way to achieve stretchability, conductivity, and biocompatibility...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Polymers |
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| Online Access: | https://www.mdpi.com/2073-4360/15/18/3692 |
| _version_ | 1797577710619328512 |
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| author | Jaehyon Kim Yewon Kim Jaebeom Lee Mikyung Shin Donghee Son |
| author_facet | Jaehyon Kim Yewon Kim Jaebeom Lee Mikyung Shin Donghee Son |
| author_sort | Jaehyon Kim |
| collection | DOAJ |
| description | In wearable bioelectronics, various studies have focused on enhancing prosthetic control accuracy by improving the quality of physiological signals. The fabrication of conductive composites through the addition of metal fillers is one way to achieve stretchability, conductivity, and biocompatibility. However, it is difficult to measure stable biological signals using these soft electronics during physical activities because of the slipping issues of the devices, which results in the inaccurate placement of the device at the target part of the body. To address these limitations, it is necessary to reduce the stiffness of the conductive materials and enhance the adhesion between the device and the skin. In this study, we measured the electromyography (EMG) signals by applying a three-layered hydrogel structure composed of chitosan–alginate–chitosan (CAC) to a stretchable electrode fabricated using a composite of styrene–ethylene–butylene–styrene and eutectic gallium-indium. We observed stable adhesion of the CAC hydrogel to the skin, which aided in keeping the electrode attached to the skin during the subject movement. Finally, we fabricated a multichannel array of CAC-coated composite electrodes (CACCE) to demonstrate the accurate classification of the EMG signals based on hand movements and channel placement, which was followed by the movement of the robot arm. |
| first_indexed | 2024-03-10T22:12:52Z |
| format | Article |
| id | doaj.art-eeb02014f6604be2add477a14db036fb |
| institution | Directory Open Access Journal |
| issn | 2073-4360 |
| language | English |
| last_indexed | 2024-03-10T22:12:52Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Polymers |
| spelling | doaj.art-eeb02014f6604be2add477a14db036fb2023-11-19T12:34:28ZengMDPI AGPolymers2073-43602023-09-011518369210.3390/polym15183692Wearable Liquid Metal Composite with Skin-Adhesive Chitosan–Alginate–Chitosan Hydrogel for Stable Electromyogram Signal MonitoringJaehyon Kim0Yewon Kim1Jaebeom Lee2Mikyung Shin3Donghee Son4Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of KoreaDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of KoreaDepartment of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of KoreaDepartment of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of KoreaDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of KoreaIn wearable bioelectronics, various studies have focused on enhancing prosthetic control accuracy by improving the quality of physiological signals. The fabrication of conductive composites through the addition of metal fillers is one way to achieve stretchability, conductivity, and biocompatibility. However, it is difficult to measure stable biological signals using these soft electronics during physical activities because of the slipping issues of the devices, which results in the inaccurate placement of the device at the target part of the body. To address these limitations, it is necessary to reduce the stiffness of the conductive materials and enhance the adhesion between the device and the skin. In this study, we measured the electromyography (EMG) signals by applying a three-layered hydrogel structure composed of chitosan–alginate–chitosan (CAC) to a stretchable electrode fabricated using a composite of styrene–ethylene–butylene–styrene and eutectic gallium-indium. We observed stable adhesion of the CAC hydrogel to the skin, which aided in keeping the electrode attached to the skin during the subject movement. Finally, we fabricated a multichannel array of CAC-coated composite electrodes (CACCE) to demonstrate the accurate classification of the EMG signals based on hand movements and channel placement, which was followed by the movement of the robot arm.https://www.mdpi.com/2073-4360/15/18/3692hydrogelskin-adhesionsoft electronicselectromyogramgesture classificationhuman–machine interface |
| spellingShingle | Jaehyon Kim Yewon Kim Jaebeom Lee Mikyung Shin Donghee Son Wearable Liquid Metal Composite with Skin-Adhesive Chitosan–Alginate–Chitosan Hydrogel for Stable Electromyogram Signal Monitoring Polymers hydrogel skin-adhesion soft electronics electromyogram gesture classification human–machine interface |
| title | Wearable Liquid Metal Composite with Skin-Adhesive Chitosan–Alginate–Chitosan Hydrogel for Stable Electromyogram Signal Monitoring |
| title_full | Wearable Liquid Metal Composite with Skin-Adhesive Chitosan–Alginate–Chitosan Hydrogel for Stable Electromyogram Signal Monitoring |
| title_fullStr | Wearable Liquid Metal Composite with Skin-Adhesive Chitosan–Alginate–Chitosan Hydrogel for Stable Electromyogram Signal Monitoring |
| title_full_unstemmed | Wearable Liquid Metal Composite with Skin-Adhesive Chitosan–Alginate–Chitosan Hydrogel for Stable Electromyogram Signal Monitoring |
| title_short | Wearable Liquid Metal Composite with Skin-Adhesive Chitosan–Alginate–Chitosan Hydrogel for Stable Electromyogram Signal Monitoring |
| title_sort | wearable liquid metal composite with skin adhesive chitosan alginate chitosan hydrogel for stable electromyogram signal monitoring |
| topic | hydrogel skin-adhesion soft electronics electromyogram gesture classification human–machine interface |
| url | https://www.mdpi.com/2073-4360/15/18/3692 |
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