Abstract
Providing high noise immunity of the systems is one of the main problems of modern non-invasive cardiodiagnostics. Increasing the level of external electromagnetic interference, increasing the degree of integration of electronic components, reducing the power of useful signals leads to the fact that the separation of electro cardio signals against a noise background becomes a complex structural and algorithmic problem. This task becomes especially difficult for non-invasive cardiodiagnostics systems operating under conditions of free patient activity, when the intensity and variability of the interference has a significant disinformation effect. In this article, proposed the principle of adaptive aggregation of filters for improving the efficiency of noise-immune processing in systems of non-invasive electrocardiogram diagnosis. The method of noise-immune processing of electro cardio signals based on adaptive aggregation of filters to filter the local time sections of the electro cardio signals in accordance with the signal-interference situation and the requirements to the effectiveness of interference suppression in these areas.