Adaptive filter

Electrical engineering

Voltage-controlled filter

Reconstruction filter

Low-pass filter

Algorithm

2D Filters

Filter (signal processing)

Engineering

High-pass filter

Voltage

Analogue filter

Infinite impulse response

Artificial intelligence

Filter design

Control (management)

Electronic engineering

Digital filter

Computer science

Computer vision

Control theory (sociology)

Butterworth filter

Root-raised-cosine filter

Active filter

An appropriate technique of filtering is essential in dealing with bio-signal especially electromyography (EMG) because it usually contains various noises. This paper discusses the development of a low cost analog filter circuit of surface electromyography (sEMG) as well as an infinite impulse response (IIR) digital filter. An analog filter circuit with the sallen-key active filter topology is designed base on an analytical filter design and simulation. The digital IIR filter is designed simultaneously with the analog filter by deriving the IIR filter from the resulted analog filter transfer function. Furthermore, an artificial sEMG signal generated from numerical simulation as well as recorded EMG signal from Biopac MP 160 system, the standardized laboratory equipment for physiological data acquisition, is fed to the designed filter to validate the filter reliability. The result shows that the designed digital IIR filter has a better performance compared to the analog filter represented by a quantitative root mean square error (RMSE) value resulted from the two numerical simulation tests.

Design of Analog and Digital Filter of Electromyography