An ultra-low power surface emg sensor for wearable biometric and medical applications

Yi Da Wu, Shanq Jang Ruan, Yu Hao Lee

研究成果: 雜誌貢獻文章同行評審

8 引文 斯高帕斯(Scopus)


In recent years, the surface electromyography (EMG) signal has received a lot of attention. EMG signals are used to analyze muscle activity or to evaluate a patient’s muscle status. However, commercial surface EMG systems are expensive and have high power consumption. Therefore, the purpose of this paper is to implement a surface EMG acquisition system that supports high sampling and ultra-low power consumption measurement. This work analyzes and optimizes each part of the EMG acquisition circuit and combines an MCU with BLE. Regarding the MCU power saving method, the system uses two different frequency MCU clock sources and we proposed a ping-pong buffer as the memory architecture to achieve the best power saving effect. The measured surface EMG signal samples can be forwarded immediately to the host for further processing and additional application. The results show that the average current of the proposed architecture can be reduced by 92.72% compared with commercial devices, and the battery life is 9.057 times longer. In addition, the correlation coefficients were up to 99.5%, which represents a high relative agreement between the commercial and the proposed system.
出版狀態已發佈 - 11月 2021

ASJC Scopus subject areas

  • 分析化學
  • 生物技術
  • 生物醫學工程
  • 儀器
  • 工程(雜項)
  • 臨床生物化學


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