Design of an Active Band-Pass Filter for the Analysis of Electromyographic Signals Derived from the Median Nerve, Using Genetic Algorithms

摘要

In this paper we propose the design of a second order band pass active filter of Sallen Key topology by means of a software developed in MATLAB of a genetic algorithm whit multiobjective optimization, with the purpose of minimizing the sensitivities of the passive components, such as the different resistors and capacitors, in order to reduce the noise and have a measurement signal more faithful to the original, annex to the above, it is intented to minimize the error in the components necessary to filter the signal, with respect to conventional methods that are generally used. As a future work, it is desired to develop a superficial electromyographic device with low sensitivity in its components for the measurement of electrical parameters that are associated with the behavior of the healthy median nerve and with carpal tunnel syndrome, to generate a database and with it different algorithms of analysis of prevention and prediction.