Muscle Activity Measurement and Signal Processing Using E-band Piezo-resistive Sensor
Vol. 60, No. 1, pp. 8-14,
Feb. 2023
10.12772/TSE.2023.60.008
PDF
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.
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