Literature DB >> 35401990

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

Zijun He1, Zheng Qi2, Huichao Liu3, Kangyan Wang1, Leslie Roberts4, Jefferson Z Liu5, Yilun Liu3, Stephen J Wang6, Mark J Cook7, George P Simon8, Ling Qiu8, Dan Li1.   

Abstract

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.
© The Author(s) 2021. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd.

Entities:  

Keywords:  cellular graphene; high-frequency electromechanical property; skeletal muscle activity; strain sensors; surface mechanomyography

Year:  2021        PMID: 35401990      PMCID: PMC8986457          DOI: 10.1093/nsr/nwab184

Source DB:  PubMed          Journal:  Natl Sci Rev        ISSN: 2053-714X            Impact factor:   23.178


  54 in total

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Authors:  Changhao Xu; Yiran Yang; Wei Gao
Journal:  Matter       Date:  2020-06-03

9.  High-Performance Graphene Sponges Reinforced with Polyimide for Room-Temperature Piezoresistive Sensing.

Authors:  Jingxia Huang; Jinqing Wang; Zhigang Yang; Shengrong Yang
Journal:  ACS Appl Mater Interfaces       Date:  2018-02-20       Impact factor: 9.229

10.  MC sensor--a novel method for measurement of muscle tension.

Authors:  Srđan Đorđević; Sara Stančin; Andrej Meglič; Veljko Milutinović; Sašo Tomažič
Journal:  Sensors (Basel)       Date:  2011-09-30       Impact factor: 3.576

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