journal article·2023-02-15

Self-Closing Stretchable Cuff Electrodes for Peripheral Nerve Stimulation and Electromyographic Signal Recording

Mei Yu, Changxian Wang, Huanqing Cui, Jianping Huang, Qianhengyuan Yu, Ping Wang, Chao Huang, Guanglin Li, Yang Zhao, Xuemin Du, Zhiyuan Liu

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Abstract

The cuff electrode can be wrapped in the columnar or tubular biological tissue for physiological signal detection or stimulation regulation. The reliable and non-excessive interfaces between the electrode and complex tissue are critical. Here, we propose a self-closing stretchable cuff electrode, which is able to self-close onto the bundles of tissues after dropping water. The curliness is realized by the mechanical stress mismatch between different layers of the elastic substrate. The material of the substrate can be selected to match the modulus of the target tissue to achieve minimal constraint on the tissue. Moreover, the self-closing structure keeps the cuff electrode free from any extra mechanical locking structure. For in vivo testing, both sciatic nerve stimulation to drive muscles and electromyographic signal monitoring around a rat's extensor digitorum longus for 1 month prove that our proposed electrode conforms well to the curved surface of biological tissue.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Neuroscience and Neural Engineering · Advanced Sensor and Energy Harvesting Materials · Muscle activation and electromyography studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China

Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China

School of Mechanics and Construction Engineering, Jinan University, 601 Huangpu Road West, Guangzhou 510632, China

Department of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, China

Funding

Ministry of Science and Technology of the People's Republic of China · National Natural Science Foundation of China · Natural Science Foundation of Guangdong Province · Chinese Academy of Sciences · Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligent-Systems · Guangdong Regional Joint Fund-Key Project

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