Muscle monitoring system based on dry type electromyography electrode and strain sensing yarn

Ji Hwan Moon; Gyu Hyeon Song; Dong Yeop Lee; Seongjun Kim; Yongwoo Jang; Seon Jeong Kim

doi:10.1117/12.3010698

10 May 2024 Muscle monitoring system based on dry type electromyography electrode and strain sensing yarn

Ji Hwan Moon, Gyu Hyeon Song, Dong Yeop Lee, Seongjun Kim, Yongwoo Jang, Seon Jeong Kim

Proceedings Volume 12951, Health Monitoring of Structural and Biological Systems XVIII; 129512M (2024) https://doi.org/10.1117/12.3010698
Event: SPIE Smart Structures + Nondestructive Evaluation, 2024, Long Beach, California, United States

Conference Poster

Abstract

Muscle monitoring is considered important and biomedical applications such as health diagnosis and motion sensing based on muscle biosignals are becoming a reality and has potential. Electromyography (EMG) signals and muscle strain signals are the most reliable biosignals that is observed in muscles. Recently, many dry-type surface EMG (sEMG) electrodes have been developed to overcome the shortcomings of wet-type electrode such as durability and reusability, so the EMG electrode is demonstrated using Edge Functionalized Graphene (EFG) which has high conductivity that does not need to go through graphene reduction process and has good performance of EMG sensing with long durability and reusability. In case of strain sensor, yarn type electrode is demonstrated based on energy harvesting by electrochemical capacitance change of Carbon Nanotube (CNT) coil, which generates signal without any bias voltage. By integrating sEMG electrode and strain sensing electrode, patch type biceps muscle monitoring sensor is demonstrated which monitors and distinguishes moving directions (muscle relaxation, muscle contraction), angles and type of the muscle movement.

Citation Download Citation

Ji Hwan Moon, Gyu Hyeon Song, Dong Yeop Lee, Seongjun Kim, Yongwoo Jang, and Seon Jeong Kim "Muscle monitoring system based on dry type electromyography electrode and strain sensing yarn", Proc. SPIE 12951, Health Monitoring of Structural and Biological Systems XVIII, 129512M (10 May 2024); https://doi.org/10.1117/12.3010698

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