(Peer-Reviewed) Detecting subtle yet fast skeletal muscle contractions with ultrasoft and durable graphene-based cellular materials
Zijun He ¹ ², Zheng Qi ³, Huichao Liu ⁴, Kangyan Wang ¹, Leslie Roberts ⁵ ⁶, Jefferson Z Liu ⁷, Yilun Liu 刘益伦 ⁴, Stephen J Wang 王佳 ⁸ ⁹, Mark J Cook ⁶, George P Simon ², Ling Qiu 丘陵 ² ¹⁰, Dan Li 李丹 ¹ ²
¹ Department of Chemical Engineering, The University of Melbourne, Melbourne 3010, Australia
² Department of Materials Science and Engineering, Monash University, Melbourne 3800, Australia
³ Department of Chemical Engineering, Monash University, Melbourne 3800, Australia
⁴ State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an 710049 China
中国 西安 西安交通大学航天航空学院 机械结构强度与振动国家重点实验室
⁵ Neurophysiology Department, Department of Neurology & Neurological Research, St Vincent's Hospital, Melbourne 3065, Australia
⁶ 6Department of Medicine, St. Vincent's Hospital, University of Melbourne, Melbourne 3010, Australia
⁷ Department of Mechanical Engineering, University of Melbourne, Melbourne 3010, Australia
⁸ Department of Design, Monash University, Melbourne 3145, Australia
⁹ School of Design, The Hong Kong Polytechnic University, Hong Kong, China
中国 香港 香港理工大学设计学院
¹⁰ Shenzhen Geim Graphene Center, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
中国 深圳 清华-伯克利深圳学院 深圳盖姆石墨烯中心
National Science Review, 2021-10-05
Abstract
Human bodily movements are primarily controlled by the contractions of skeletal muscles. Unlike joint or skeletal movements that generally perform 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 yet durable soft materials to electrically monitor such motions with high-fidelity such as for 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, and endow it with remarkable stretchability improvement (>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 for a broad range of healthcare and human-machine interface applications. This work also suggests a new architecture-enabled functional soft material platform for use in wearable electronics.
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