Enhancing prosthetic control through high-fidelity myoelectric mapping with molecular anchoring technology
Myoelectric control utilizes electrical signals generated from the voluntary contraction of remaining muscles in an amputee's stump to operate a prosthesis. Precise and agile control requires low-level myoelectric signals (below 10% of maximum voluntary contraction, MVC) from weak muscle contra...
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sg-ntu-dr.10356-1693032023-07-14T15:47:16Z Enhancing prosthetic control through high-fidelity myoelectric mapping with molecular anchoring technology Pan, Liang Wang, Hui Huang, Pingao Wu, Xuwei Tang, Zihan Jiang, Ying Ji, Shaobo Cao, Jinwei Ji, Baohua Li, Guanglin Li, Dechang Wang, Zhiming Chen, Xiaodong School of Materials Science and Engineering Innovative Centre for Flexible Devices (iFLEX) Engineering::Materials High Fidelity Ionic–Electronic Myoelectric control utilizes electrical signals generated from the voluntary contraction of remaining muscles in an amputee's stump to operate a prosthesis. Precise and agile control requires low-level myoelectric signals (below 10% of maximum voluntary contraction, MVC) from weak muscle contractions such as phantom finger or wrist movements, but imbalanced calcium concentration in atrophic skin can distort the signals. This is due to poor ionic-electronic coupling between skin and electrode, which often causes excessive muscle contraction, fatigue, and discomfort during delicate tasks. To overcome this challenge, a new strategy called molecular anchoring is developed to drive hydrophobic molecular effectively interact with and embed into stratum corneum for high coupling regions between ionic fluxes and electronic currents. The use of hydrophobic poly(N-vinyl caprolactam) gel has resulted in an interface impedance of 20 kΩ, which is 1/100 of a commercial acrylic-based electrode, allowing the detection of ultralow myoelectric signals (≈1.5% MVC) that approach human limits. With this molecular anchoring technology, amputees operate a prosthesis with greater dexterity, as phantom finger and wrist movements are predicted with 97.6% accuracy. This strategy provides the potential for a comfortable human-machine interface when amputees accomplish day-to-day tasks through precise and dexterous myoelectric control. Agency for Science, Technology and Research (A*STAR) National Research Foundation (NRF) Submitted/Accepted version Financial support was provided by the Agency for Science, Technology and Research (A*STAR) under its AME Programmatic Funding Scheme (Project #A18A1b0045) and the National Research Foundation, Singapore (NRF) under NRF’s Medium Sized Centre: Singapore Hybrid-Integrated Next-Generation μ-Electronics (SHINE) Centre funding programme, National Natural Science Foundation of China (grants no.12122212 and 11932017), National Key Research and Development Program of China (2019YFB2203400), the “111 Project” (B20030), and Key-Area Research and Development Program of Guangdong Province (#2020B0909020004). 2023-07-11T08:26:23Z 2023-07-11T08:26:23Z 2023 Journal Article Pan, L., Wang, H., Huang, P., Wu, X., Tang, Z., Jiang, Y., Ji, S., Cao, J., Ji, B., Li, G., Li, D., Wang, Z. & Chen, X. (2023). Enhancing prosthetic control through high-fidelity myoelectric mapping with molecular anchoring technology. Advanced Materials. https://dx.doi.org/10.1002/adma.202301290 0935-9648 https://hdl.handle.net/10356/169303 10.1002/adma.202301290 37151164 2-s2.0-85160707135 en A18A1b004 Advanced Materials © 2023 Wiley-VCH GmbH. All rights reserved. This is the peer reviewed version of the following article: Pan, L., Wang, H., Huang, P., Wu, X., Tang, Z., Jiang, Y., Ji, S., Cao, J., Ji, B., Li, G., Li, D., Wang, Z. & Chen, X. (2023). Enhancing prosthetic control through high-fidelity myoelectric mapping with molecular anchoring technology. Advanced Materials, which has been published in final form at https://doi.org/10.1002/adma.202301290. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. application/pdf |
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Engineering::Materials High Fidelity Ionic–Electronic Pan, Liang Wang, Hui Huang, Pingao Wu, Xuwei Tang, Zihan Jiang, Ying Ji, Shaobo Cao, Jinwei Ji, Baohua Li, Guanglin Li, Dechang Wang, Zhiming Chen, Xiaodong Enhancing prosthetic control through high-fidelity myoelectric mapping with molecular anchoring technology |
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Myoelectric control utilizes electrical signals generated from the voluntary contraction of remaining muscles in an amputee's stump to operate a prosthesis. Precise and agile control requires low-level myoelectric signals (below 10% of maximum voluntary contraction, MVC) from weak muscle contractions such as phantom finger or wrist movements, but imbalanced calcium concentration in atrophic skin can distort the signals. This is due to poor ionic-electronic coupling between skin and electrode, which often causes excessive muscle contraction, fatigue, and discomfort during delicate tasks. To overcome this challenge, a new strategy called molecular anchoring is developed to drive hydrophobic molecular effectively interact with and embed into stratum corneum for high coupling regions between ionic fluxes and electronic currents. The use of hydrophobic poly(N-vinyl caprolactam) gel has resulted in an interface impedance of 20 kΩ, which is 1/100 of a commercial acrylic-based electrode, allowing the detection of ultralow myoelectric signals (≈1.5% MVC) that approach human limits. With this molecular anchoring technology, amputees operate a prosthesis with greater dexterity, as phantom finger and wrist movements are predicted with 97.6% accuracy. This strategy provides the potential for a comfortable human-machine interface when amputees accomplish day-to-day tasks through precise and dexterous myoelectric control. |
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School of Materials Science and Engineering |
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School of Materials Science and Engineering Pan, Liang Wang, Hui Huang, Pingao Wu, Xuwei Tang, Zihan Jiang, Ying Ji, Shaobo Cao, Jinwei Ji, Baohua Li, Guanglin Li, Dechang Wang, Zhiming Chen, Xiaodong |
format |
Article |
author |
Pan, Liang Wang, Hui Huang, Pingao Wu, Xuwei Tang, Zihan Jiang, Ying Ji, Shaobo Cao, Jinwei Ji, Baohua Li, Guanglin Li, Dechang Wang, Zhiming Chen, Xiaodong |
author_sort |
Pan, Liang |
title |
Enhancing prosthetic control through high-fidelity myoelectric mapping with molecular anchoring technology |
title_short |
Enhancing prosthetic control through high-fidelity myoelectric mapping with molecular anchoring technology |
title_full |
Enhancing prosthetic control through high-fidelity myoelectric mapping with molecular anchoring technology |
title_fullStr |
Enhancing prosthetic control through high-fidelity myoelectric mapping with molecular anchoring technology |
title_full_unstemmed |
Enhancing prosthetic control through high-fidelity myoelectric mapping with molecular anchoring technology |
title_sort |
enhancing prosthetic control through high-fidelity myoelectric mapping with molecular anchoring technology |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/169303 |
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1772828831648841728 |