Využití adaptivního neuro-fuzzy inferenčního systému ve zpracování plodového EKG

Abstract

This thesis is focused on the use of the adaptive neuro-fuzzy inference system (ANFIS) in processing of the fetal ECG. In the firts part problem of fetal ECG is outlined. There ase also described soft-computing methods such as fuzzy logic, fuzzy inference system a artificial neural networks. In the next part are presented the adaptive signal processing methods and the implementation of the software interface using the adaptive neuro-fuzzy inference system. In the last part, the system is tested on different input signals and the final evaluation of experiments.