Textile Science and Engineering (한국섬유공학회지)

The Korean Fiber Society (한국섬유공학회)
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Muscle Activity Measurement and Signal Processing Using E-band Piezo-resistive Sensor

E-band Piezo-resistive Sensor를 이용한 근육 활성도 측정 및 시그널 프로세싱

  • Jiwoo Kang (Department of Organic Materials and Fiber Engineering, Soongsil University) ;
  • Sangun Kim (Department of Organic Materials and Fiber Engineering, Soongsil University) ;
  • Jooyong Kim (Department of Organic Materials and Fiber Engineering, Soongsil University)
  • 강지우 (숭실대학교 유기신소재파이버공학과) ;
  • 김상운 (숭실대학교 유기신소재파이버공학과) ;
  • 김주용 (숭실대학교 유기신소재파이버공학과)
  • Received : 2022.12.20
  • Accepted : 2023.02.01
  • Published : 2023.02.28
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Abstract

In response to the increasing demand for healthcare devices, this study devised a method for improving the sensor performance of wearable devices that can be used during weight training. Piezo-resistive sensors based on electrically conductive fibers have fatal problems when measuring bio-signals. It means that the noise signal is also measured by the surrounding environment, such as the friction of the fabric, the change of the sensor position, and the wind. Since changes in bio-signals are minute, reliability and accuracy of sensors are greatly affected by these noise signals. Therefore, it is necessary to improve discrimination through appropriate signal processing. First, the time-domain signal was converted into a frequency-domain signal through Fast Fourier Transform(FFT) and filtered through a low-pass filter(LPF). The performance of the sensor was confirmed by comparing the actual number of exercises with the number of exercises according to the raw data and filtered data. It is expected that the piezo-resistive sensor fabrication method and signal processing method used in this study will be widely applied to help improve the discrimination and accuracy of textile-based sensors for healthcare.

Keywords

Acknowledgement

이 논문은 2022년도 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(no.NRF-2019R1A2C2005933).

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