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A Coiled Carbon Nanotube Yarn-Integrated Surface Electromyography System To Monitor Isotonic and Isometric Movements

Authors
Jang, Yongwoo문지환Lee, ChanhoLee, Sung MinKim, Heesoo송규현Spinks, Geoffrey M.Wallace, Gordon G.Kim, Seon Jeong
Issue Date
Oct-2022
Publisher
AMER CHEMICAL SOC
Keywords
carbon nanotubes; surface electromyography; wearable sensors; human motion; isotonic and isometric contraction
Citation
ACS APPLIED MATERIALS & INTERFACES, v.14, no.40, pp 45149 - 45155
Pages
7
Indexed
SCIE
SCOPUS
Journal Title
ACS APPLIED MATERIALS & INTERFACES
Volume
14
Number
40
Start Page
45149
End Page
45155
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/186088
DOI
10.1021/acsami.2c11811
ISSN
1944-8244
1944-8252
Abstract
A surface electromyogram (sEMG) electrode collects electrical currents generated by neuromuscular activity by a noninvasive technique on the skin. It is particularly attractive for wearable systems for various human activities and health care monitoring. However, it remains challenging to discriminate EMG signals from isotonic (concentric/eccentric) and isometric movements. By applying nanotechnology, we provide a coiled carbon nanotube (CNT) yarn-integrated sEMG device to overcome sEMG-based motion recognition. When the arm was contracted at different angles, the sEMG-derived root mean square amplitude signals were constant regardless of the angle of the moving arm. However, the coiled CNT yarn-derived open circuit voltage (OCV) signals proportionally increased when the arm's angle increased, and presented negative and positive values depending on the moving direction of the arm. Moreover, isometric contraction is characterized by the onset of EMG signals without an OCV signal, and isotonic contraction is determined by both EMG signals and OCV signals. Taken together, the integration of EMG and coiled CNT yarn electrodes provides complementary information, including the strength, direction, and degree of muscle movement. Therefore, we suggest that our system has high potential as a wearable system to monitor human motions in industrial and human system applications.
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Jang, Yongwoo
서울 의과대학 (DEPARTMENT OF PHARMACOLOGY)
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