Locally coupled electromechanical interfaces based on cytoadhesion-inspired hybrids to identify muscular excitation-contraction signatures

Designing efficient systems capable emulating the muscular excitation-contraction signatures, remains a challenge. Here, the authors propose cytoadhesion-inspired hybrids as locally-coupled electromechanical interfaces capable retrieving the myoelectric and mechanical signals.

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Autores principales:	Pingqiang Cai, Changjin Wan, Liang Pan, Naoji Matsuhisa, Ke He, Zequn Cui, Wei Zhang, Chengcheng Li, Jianwu Wang, Jing Yu, Ming Wang, Ying Jiang, Geng Chen, Xiaodong Chen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/28b15ea502d741abaf440b8ac038a25d
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spelling	oai:doaj.org-article:28b15ea502d741abaf440b8ac038a25d2021-12-02T15:34:12ZLocally coupled electromechanical interfaces based on cytoadhesion-inspired hybrids to identify muscular excitation-contraction signatures10.1038/s41467-020-15990-72041-1723https://doaj.org/article/28b15ea502d741abaf440b8ac038a25d2020-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15990-7https://doaj.org/toc/2041-1723Designing efficient systems capable emulating the muscular excitation-contraction signatures, remains a challenge. Here, the authors propose cytoadhesion-inspired hybrids as locally-coupled electromechanical interfaces capable retrieving the myoelectric and mechanical signals.Pingqiang CaiChangjin WanLiang PanNaoji MatsuhisaKe HeZequn CuiWei ZhangChengcheng LiJianwu WangJing YuMing WangYing JiangGeng ChenXiaodong ChenNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Pingqiang Cai Changjin Wan Liang Pan Naoji Matsuhisa Ke He Zequn Cui Wei Zhang Chengcheng Li Jianwu Wang Jing Yu Ming Wang Ying Jiang Geng Chen Xiaodong Chen Locally coupled electromechanical interfaces based on cytoadhesion-inspired hybrids to identify muscular excitation-contraction signatures
description	Designing efficient systems capable emulating the muscular excitation-contraction signatures, remains a challenge. Here, the authors propose cytoadhesion-inspired hybrids as locally-coupled electromechanical interfaces capable retrieving the myoelectric and mechanical signals.
format	article
author	Pingqiang Cai Changjin Wan Liang Pan Naoji Matsuhisa Ke He Zequn Cui Wei Zhang Chengcheng Li Jianwu Wang Jing Yu Ming Wang Ying Jiang Geng Chen Xiaodong Chen
author_facet	Pingqiang Cai Changjin Wan Liang Pan Naoji Matsuhisa Ke He Zequn Cui Wei Zhang Chengcheng Li Jianwu Wang Jing Yu Ming Wang Ying Jiang Geng Chen Xiaodong Chen
author_sort	Pingqiang Cai
title	Locally coupled electromechanical interfaces based on cytoadhesion-inspired hybrids to identify muscular excitation-contraction signatures
title_short	Locally coupled electromechanical interfaces based on cytoadhesion-inspired hybrids to identify muscular excitation-contraction signatures
title_full	Locally coupled electromechanical interfaces based on cytoadhesion-inspired hybrids to identify muscular excitation-contraction signatures
title_fullStr	Locally coupled electromechanical interfaces based on cytoadhesion-inspired hybrids to identify muscular excitation-contraction signatures
title_full_unstemmed	Locally coupled electromechanical interfaces based on cytoadhesion-inspired hybrids to identify muscular excitation-contraction signatures
title_sort	locally coupled electromechanical interfaces based on cytoadhesion-inspired hybrids to identify muscular excitation-contraction signatures
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/28b15ea502d741abaf440b8ac038a25d
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Locally coupled electromechanical interfaces based on cytoadhesion-inspired hybrids to identify muscular excitation-contraction signatures

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