Filtering of EMG signals based on digital filters for the control of a bionic upper-limb prosthesis
Filtrado de señales EMG basado en filtros digitales para el control de una prótesis biónica transradial
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Electromyography signal filtering (EMG) is essential for controlling bionic prostheses, allowing the detection and analysis of muscle biopotentials. Traditionally, physical filters have been used, but they have limitations regarding precision and complexity. This paper aims to improve the accuracy at the time of EMG signal processing using digital filters. Surface electrodes with conductive gel were used to capture the EMG signals. The raw signals were amplified using an instrumentation amplifier with a high gain, followed by a first-order filtering of high and low passes. The final stage included rectifying the signal to obtain exclusively positive values. Several digital filters were evaluated, including filters based on moving average and exponential moving average filters, with the circuits of different filters ultimately implemented in the bionic upper-limb prosthesis.
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