The emperical mode decomposition for ECG signal preprocessing

Preprocessing of ECG signals allows increasing efficiency and effectiveness of diagnosis of socially significant heart diseases. Development of algorithms and programs for digital processing of ECG signals should ensure preservation of informatively significant components, adaptability to individual features and parameters of a patient, as well as the possibility of using online daily monitoring in mobile systems during human free movement activity. To solve the indicated problems, it is proposed to use the Hilbert-Huang transform, which will allow ensuring the reduction of the level of the most characteristic interference with minimal distortion of the useful component of the ECG signal.