ANALYSIS OF CONVERSION OF ANALOG MYOELECTRIC SIGNALS TO DIGITAL

The electrical signals produced by muscle movement, known as myoelectric signals, can provide varied information depending on the objective and context in which they are used. They can indicate the presence of muscle activity, the intensity of contraction, or the periodicity of this activity. The analysis of these signals can be performed by capturing the entire signal over a certain period or by evaluating specific parameters such as amplitude, duration, or root mean square value. The objective of this work is to develop an analog-to-digital converter architecture using binary value sensors, based on first-order system control laws. This approach allows for the estimation of unknown system parameters, saving energy and reducing the complexity of the analog part of the circuit. It is possible to acquire signals with a resolution of 4 or 5 bits and a bandwidth limited to a few kHz.