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Detecting subtle yet fast skeletal muscle contractions with ultrasoft and durable graphene-based cellular materials

Human bodily movements are primarily controlled by the contractions of skeletal muscles. Unlike joint or skeletal movements that are generally performed in the large displacement range, the contractions of the skeletal muscles that underpin these movements are subtle in intensity yet high in frequen...

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Autores principales: He, Zijun, Qi, Zheng, Liu, Huichao, Wang, Kangyan, Roberts, Leslie, Liu, Jefferson Z, Liu, Yilun, Wang, Stephen J, Cook, Mark J, Simon, George P, Qiu, Ling, Li, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986457/
https://www.ncbi.nlm.nih.gov/pubmed/35401990
http://dx.doi.org/10.1093/nsr/nwab184
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author He, Zijun
Qi, Zheng
Liu, Huichao
Wang, Kangyan
Roberts, Leslie
Liu, Jefferson Z
Liu, Yilun
Wang, Stephen J
Cook, Mark J
Simon, George P
Qiu, Ling
Li, Dan
author_facet He, Zijun
Qi, Zheng
Liu, Huichao
Wang, Kangyan
Roberts, Leslie
Liu, Jefferson Z
Liu, Yilun
Wang, Stephen J
Cook, Mark J
Simon, George P
Qiu, Ling
Li, Dan
author_sort He, Zijun
collection PubMed
description Human bodily movements are primarily controlled by the contractions of skeletal muscles. Unlike joint or skeletal movements that are generally performed in the large displacement range, the contractions of the skeletal muscles that underpin these movements are subtle in intensity yet high in frequency. This subtlety of movement makes it a formidable challenge to develop wearable and durable soft materials to electrically monitor such motions with high fidelity for the purpose of, for example, muscle/neuromuscular disease diagnosis. Here we report that an intrinsically fragile ultralow-density graphene-based cellular monolith sandwiched between silicone rubbers can exhibit a highly effective stress and strain transfer mechanism at its interface with the rubber, with a remarkable improvement in stretchability (>100%). In particular, this hybrid also exhibits a highly sensitive, broadband-frequency electrical response (up to 180 Hz) for a wide range of strains. By correlating the mechanical signal of muscle movements obtained from this hybrid material with electromyography, we demonstrate that the strain sensor based on this hybrid material may provide a new, soft and wearable mechanomyography approach for real-time monitoring of complex neuromuscular–skeletal interactions in a broad range of healthcare and human–machine interface applications. This work also provides a new architecture-enabled functional soft material platform for wearable electronics.
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spelling pubmed-89864572022-04-07 Detecting subtle yet fast skeletal muscle contractions with ultrasoft and durable graphene-based cellular materials He, Zijun Qi, Zheng Liu, Huichao Wang, Kangyan Roberts, Leslie Liu, Jefferson Z Liu, Yilun Wang, Stephen J Cook, Mark J Simon, George P Qiu, Ling Li, Dan Natl Sci Rev Research Article Human bodily movements are primarily controlled by the contractions of skeletal muscles. Unlike joint or skeletal movements that are generally performed in the large displacement range, the contractions of the skeletal muscles that underpin these movements are subtle in intensity yet high in frequency. This subtlety of movement makes it a formidable challenge to develop wearable and durable soft materials to electrically monitor such motions with high fidelity for the purpose of, for example, muscle/neuromuscular disease diagnosis. Here we report that an intrinsically fragile ultralow-density graphene-based cellular monolith sandwiched between silicone rubbers can exhibit a highly effective stress and strain transfer mechanism at its interface with the rubber, with a remarkable improvement in stretchability (>100%). In particular, this hybrid also exhibits a highly sensitive, broadband-frequency electrical response (up to 180 Hz) for a wide range of strains. By correlating the mechanical signal of muscle movements obtained from this hybrid material with electromyography, we demonstrate that the strain sensor based on this hybrid material may provide a new, soft and wearable mechanomyography approach for real-time monitoring of complex neuromuscular–skeletal interactions in a broad range of healthcare and human–machine interface applications. This work also provides a new architecture-enabled functional soft material platform for wearable electronics. Oxford University Press 2021-10-05 /pmc/articles/PMC8986457/ /pubmed/35401990 http://dx.doi.org/10.1093/nsr/nwab184 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
He, Zijun
Qi, Zheng
Liu, Huichao
Wang, Kangyan
Roberts, Leslie
Liu, Jefferson Z
Liu, Yilun
Wang, Stephen J
Cook, Mark J
Simon, George P
Qiu, Ling
Li, Dan
Detecting subtle yet fast skeletal muscle contractions with ultrasoft and durable graphene-based cellular materials
title Detecting subtle yet fast skeletal muscle contractions with ultrasoft and durable graphene-based cellular materials
title_full Detecting subtle yet fast skeletal muscle contractions with ultrasoft and durable graphene-based cellular materials
title_fullStr Detecting subtle yet fast skeletal muscle contractions with ultrasoft and durable graphene-based cellular materials
title_full_unstemmed Detecting subtle yet fast skeletal muscle contractions with ultrasoft and durable graphene-based cellular materials
title_short Detecting subtle yet fast skeletal muscle contractions with ultrasoft and durable graphene-based cellular materials
title_sort detecting subtle yet fast skeletal muscle contractions with ultrasoft and durable graphene-based cellular materials
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986457/
https://www.ncbi.nlm.nih.gov/pubmed/35401990
http://dx.doi.org/10.1093/nsr/nwab184
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