Piezoelectric sensor signal processing design and application for wearable device

Fong, Yan Kei (2020) Piezoelectric sensor signal processing design and application for wearable device. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Piezoelectric sensor is an active sensor that has the potential to analyze the performance of skeletal muscle. It can produce electrical charges in response to mechanical stress. However, the signal generated in terms of current is too small and unreadable due to the higher impedance of the sensor. Furthermore, the signal generated is random with noises. Thus, a signal conditioning circuit which consists of a charge amplifier and a bandpass filter is designed to solve the problems. For signal processing, Fast Fourier Transform (FFT) is used to transform the signal from the time domain to the frequency domain in MATLAB. The signal of lifting movement for every 1 minute is successfully analyzed based on the frequency distribution in the frequency domain graph. The frequency of the signal drops from 146.1Hz to 139.2Hz. The drop in frequency shows the feature of muscle fatigue. Hence, the piezoelectric sensor can be utilized to detect muscle fatigue. Furthermore, the piezoelectric sensor can be built into accessories as it is flexible and light.

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